Full List of Publications

(*: Corresponding author; #: Co-first author)

 

In Review (1)

• Pang, S., Li, Z., Sun, L., Cao, B., Wang, Z., Xi, X., Shi, X., and Wei, J.* STUPmask: A novel combined Swin Transformer and UPerNet model for enhancing global cloud detection in Landsat 8 and Sentinel-2 imagery. Remote Sensing of Environment, 2024, Under review.

 

2025 (2)

• Cheng, F., Li, Z., Yang, Z., Li, R., Wang, D., Jia, A., Li, K., Zhao, B., Wang, S., Yin, D., Li, S., Xue, W., Cribb, M., and Wei, J.* First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O₃) from space in China using artificial intelligence: diurnal variations and implications for air quality and phytotoxicity. Remote Sensing of Environment, 2025, 316, 114482. https://doi.org/10.1016/j.rse.2024.114482

• Yang, Z., Li, Z., Cheng, F., Lv, Q., Li, K., Zhang, T., Zhou, Y., Zhao, B., Xue, W., and Wei, J.* Two-decade surface ozone (O₃) pollution in China: enhanced fine-scale estimations and environmental health implications. Remote Sensing of Environment, In Press. https://doi.org/10.22541/essoar.172097780.00448096/v1

 

2024 (42)

• Wei, J.*, Wang, Z., Li, Z., Li, Z., Pang, S., Xi, X., Cribb, M., and Sun, L. Global aerosol retrieval over land from Landsat imagery integrating Transformer and Google Earth Engine. Remote Sensing of Environment, 2024, 315, 114404. https://doi.org/10.1016/j.rse.2024.114404

• Chen, Y., Meng, X., Yu, Y., Sun, J., Niu, Z., Wei, J., Zhang, L., Lu, C., Yu, W., Wang, T., Zheng, X., Norbäck, D., Svartengren, M., Zhang, X., and Zhao, Z. Greenness and its composition and configuration in association with allergic rhinitis in preschool children. Environmental Research, 2024, 251, 118627. https://doi.org/10.1016/j.envres.2024.118627

• Fang, B., Wei, J., Chen, L., Jin, S., Li, Q., Cai, R., Qian, N., Gu, Z., Chen, L., Santon, R., Wang, C., and Song, W. Short-term association of particulate matter and cardiovascular disease mortality in Shanghai, China between 2003 and 2020. Frontiers in Public Health, 2024, 12, 1388069. https://doi.org/10.3389/fpubh.2024.1388069

• Fang, L., Ma, Y., Peng, Y., Ni, Y., Ma, C., Wang, G., Zhao, H., Chen, Y., Zhang, T., Cai, G., Wei, J.*, Xiang, H., and Pan, F. Long-term effect of fine particulate matter constituents on reproductive hormones homeostasis in women attending assisted reproductive technologies: A population-based longitudinal study. Ecotoxicology and Environmental Safety, 2024, 284, 116915. https://doi.org/10.1016/j.ecoenv.2024.116915

• Feng, Y., Zhang, W., Wei, J.^#, Jiang, D., Tong, S., Huang, C., Xu, Z., Wang, X., Tao, J., Li, Z., Hu, J., Zhang, Y., and Cheng, J. Medium-term exposure to size-fractioned particulate matter and asthma exacerbations in China: A longitudinal study of asthmatics with poor medication adherence. Ecotoxicology and Environmental Safety, 2024, 274, 116234. https://doi.org/10.1016/j.ecoenv.2024.116234

• Fu, J., Lin, Q., Ai, B., Li, M., Luo, W., Huang, S., Yu, H., Yang, Y., Lin, H., Wei, J., Su, X., and Zhang, Z. Associations between maternal exposure to air pollution during pregnancy and trajectories of infant growth: A birth cohort study. Ecotoxicology and Environmental Safety, 2024, 269, 115792. https://doi.org/10.1016/j.ecoenv.2023.115792

• Guo, T., Chen, X., Wei, J.^#, Chen, S., Zhang, Y., Lin, S., Deng, X., Qu, Y., Lin, Z., Chen, S., Li, Z., Sun, J., Chen, X., Chen, Z., Sun, X., Chen, D., Ruan, X., Tuohetasen, S., Li, X., Zhang, M., Sun, Y., Zhu, S., Deng, X., Hao, Y., Jing, Q., and Zhang, W. Unveiling causal connections: Long-term particulate matter exposure and type 2 diabetes mellitus mortality in Southern China. Ecotoxicology and Environmental Safety, 2024, 274, 116212. https://doi.org/10.1016/j.ecoenv.2024.116212

• Han, Z., Liu, J., Liang, T., Yin, J., Wei, J., Zeng, Q., Cao, W., Liu, C., and Sun, S. Exposure to ambient particulate matter and ovarian reserve impairment among reproductive age women in China. Journal of Hazardous Materials, 2024, 480, 136212. https://doi.org/10.1016/j.ecoenv.2024.116212

• Li, S., Guo, J., Zhang, X., Tong, B., Su, T., Wei, J., & Li, Z. Preference of afternoon precipitation over dry soil in the North China Plain during warm seasons. Journal of Geophysical Research: Atmospheres, 2024, 129, e2023JD040641. https://doi.org/10.1029/2023JD040641

• Li, Y., He, Z., Wei, J., Xu, R., Liu, T., Zhong, Z., Liu, L., Liang, S., Zheng, Y., Chen, G., Lv, Z., Huang, S., Chen, X., Sun, H., and Liu, Y. Long-term exposure to ambient fine particulate matter constituents and mortality from total and site-specific gastrointestinal cancer. Environmental Research, 2024, 244, 117927. https://doi.org/10.1016/j.envres.2023.117927

• Li, Y., Lu, B., Wei, J., Wang, Q., Ma, W., Wang, R., Xu, R., Zhong, Z., Luo, L., Chen, X., Lv, Z., Huang, S., Sun, H., and Liu, Y. Short-term exposure to ambient fine particulate matter constituents and myocardial infarction mortality. Chemosphere, 2024, 364, 143101. https://doi.org/10.1016/j.chemosphere.2024.143101

• Li, Y., Zhu, L., Wei, J., Wu, C., Zhao, Z., Norbäck, D., Zhang, X., Lu, C., Yu, W., Wang, T., Zheng, X., Zhang, L., and Zhang, Y. Intrauterine and early postnatal exposures to submicron particulate matter and childhood allergic rhinitis: A multicity cross-sectional study in China. Environmental Research, 2024, 247, 118165. https://doi.org/10.1016/j.envres.2024.118165

• Liu, S., Li, X., Wei, J., Shu, L., Jin, J., Fu, T., Yang, X., and Zhu, L. Short-term exposure to fine particulate matter and ozone: source impacts and attributable mortalities. Environmental Science & Technology, 2024, 58(26), 11256–11267. https://doi.org/10.1021/acs.est.4c00339

• Liu, S., Wei, J., Li, X., Shu, L., Zhang, J., Fu, T., Yang, X., and Zhu, L. Underappreciated roles of soil nitrogen oxide emissions on global acute health burden. Environment International, 2024, 193, 109087. https://doi.org/10.1016/j.envint.2024.109087

• Liang, W., Li, R., Chen, G., Ma, H., Han, A., Hu, Q., Xie, N., Wei, J., Shen, H., Wang, X., and Xiang, H. Long-term exposure to ambient particulate matter is associated with prognosis in people living with HIV/AIDS: Evidence from a longitudinal study. Science of The Total Environment, 2024, 928, 172453. https://doi.org/10.1016/j.scitotenv.2024.172453

• Ma, Y., Zang, E., Liu, Y., Wei, J., Lu, Y., Krumholz, H., Bell, M., and Chen, K. Long-term exposure to wildland fire smoke PM_2.5 and mortality in the contiguous United States. PNAS, 2024, 121(40), e2403960121. https://doi.org/10.1073/pnas.2403960121

• Ma, Y., Miao, C., Wei, J.^#, Sun, B., Li, H., Tian, Y., and Zhu, Y. Exposure to PM_2.5 and its constituents in relation to thyroid function of pregnant women: Separate and mixture analyses. Chemosphere, 2024, 367, 143610. https://doi.org/10.1016/j.chemosphere.2024.143610

• Shi, S., Gu, X., and Wei, J. An Editorial for the Special Issue “Aerosol and Atmospheric Correction”. Remote Sensing, 2024, 16(19), 3745. https://doi.org/10.3390/rs16193745

• Sun, H., Chen, X., Huang, W., Wei, J., Yang, X., Shan, A., Zhang, L., Zhang, H., He, J., Pan, C., Li, J., Wu, J., Wang, T., Chen, J., Guo, Y., Tong, S., Dong, G., and Tang, N. Association between long-term exposure to PM_2.5 inorganic chemical compositions and cardiopulmonary mortality: A 22-year cohort study in Northern China. Environment & Health, 2024, 2(8), 530–540. https://doi.org/10.1021/envhealth.4c00020

• Tian, Y., Ma, Y., Wu, J., Wu, Y., Wu, T., Hu, Y., and Wei, J.* Ambient PM_2.5 chemical composition and cardiovascular disease hospitalizations in China. Environmental Science & Technology, 2024, 58(37), 16327–16335. https://doi.org/10.1021/acs.est.4c05718 (Journal Cover Article)

• Wang, M., Wei, J.^#, Wang, X., Luan, Q., and Xu, X. Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022. Scientific Data, 2024, 11, 1133. https://doi.org/10.1038/s41597-024-03980-z

• Wang, Y., Wang, Z., Jiang, J., Guo, T., Chen, S., Li, Z., Yuan, Z., Lin, Q., Du, Z., Wei, J., Hao, Y., and Zhang, W. The effect of long-term particulate matter exposure on respiratory mortality: Cohort study in China. JMIR Public Health Surveillance, 2024, 10, e56059. https://doi.org/10.2196/56059

• Wu, C., Tang, H., Wei, J., Chen, H., Zhao, Z., Norbäck, D., Zhang, X., Lu, C., Yu, W., Wang, T., Zheng, X., Li, R., Zhang, Y., and Zhang, L. Modification of food allergy on the associations between early life exposure to size-Specific particulate matter and childhood allergic rhinitis. Environmental Science & Technology, 2024, 58(4), 1813–1822. https://doi.org/10.1021/acs.est.3c05532

• Wu, K., Tao, J., Wu, Q., Su, H., Huang, C., Xia, Q., Zhu, C., Wei, J., Yang, M., Yan, J., and Cheng, J. A stronger association of mental disorders with smaller particulate matter and a modifying effect of air temperature. Environmental Pollution, 2024, 347, 123677. https://doi.org/10.1016/j.envpol.2024.123677

• Wu, W., Wu, G., Wei, J.^#, Lawrence, W., Deng, X., Zhang, Y., Chen, S., Wang, Y., Lin, X., Chen, D., Ruan, X., Lin, Q., Li, Z., Lin, Z., Hao, C., Du, Z., Zhang, W., and Hao, Y. Potential causal links and mediation pathway between urban greenness and lung cancer mortality: result from a large cohort (2009 to 2020). Sustainable Cities and Society, 2024, 101, 105079. https://doi.org/10.1016/j.scs.2023.105079

• Xu, H., Liang, X., Wang, L., Wei, J., Guo, B., Zeng, C., Feng, S., Wang, S., Yang, X., Pan, Y., Wang, Z., Xie, L., Reinhardt, J., Tang, W., and Zhao, X. Role of metabolic risk factors in the relationship between ambient fine particulate matter and depressive symptoms: Evidence from a longitudinal population study. Ecotoxicology and Environmental Safety, 2024, 270, 115839. https://doi.org/10.1016/j.ecoenv.2023.115839

• Xu, L., Xu, R., Ye, Y., Wang, R., Wei, J., Shi, C., Lin, Q., Lv, Z., Huang, S., Tian, Q., and Liu, Y. Short-term exposure to ambient air pollution and hospital admissions for angina among older adults in South China. Atmospheric Environment, 2024, 318, 120198. https://doi.org/10.1016/j.atmosenv.2023.120198

• Xu, R., Sun, H., Zhong, Z., Zheng, Y., Liu, T., Li, Y., Liu, L., Luo, L., Wang, S., Lv, Z., Huang, S., Shi, C., Chen, W., Wei, J.*, Xia, W., and Liu, Y. Ozone, heat wave, and cardiovascular disease mortality: A population-based case-crossover study. Environmental Science & Technology, 2024, 58(1), 171–181. https://doi.org/10.1021/acs.est.3c06889

• Xu, R., Luo, L., Yuan, T., Chen, W., Wei, J., Shi, C., Wang, S., Liang, S., Li, Y., Zhong, Z., Liu, L., Zheng, Y., Deng, X., Liu, T., Fan, Z., Liu, Y., and Zhang, J. Association of short-term exposure to ambient fine particulate matter and ozone with outpatient visits for anxiety disorders: A hospital-based case-crossover study in South China. Journal of Affective Disorders, 2024, 361, 277-284. https://doi.org/10.1016/j.jad.2024.06.007

• Yang, L., Chen, H., Gao, H., Wang, Y., Chen, T., Svartengren, M., Norbäck, D., Wei, J., Zheng, X., Zhang, L., Lu, C., Yu, W., Wang, T., Ji, J., Meng, X., Zhao, Z., and Zhang, X. Prenatal and postnatal early life exposure to greenness and particulate matter of different size fractions in relation to childhood rhinitis - A multi-center study in China. Science of The Total Environment, 2024, 938, 173402. https://doi.org/10.1016/j.scitotenv.2024.173402

• Yang, Q., Zhao, T., Bai, Y., Wei, J., Sun, X., Tian, Z., Hu, J., Ma, X., Luo, Y., Fu, W., and Yang, K. Interannual variations in ozone pollution with a dipole structure over Eastern China associated with springtime thermal forcing over the Tibetan Plateau. Science of The Total Environment, 2024, 923, 171527. https://doi.org/10.1016/j.scitotenv.2024.171527

• Yuan, Z., Wang, Y., Du, Z., Lin, S., Zeng, J., Sun, X., Zhang, Y., Deng, X., Sun, Y., Wei, J., Zhang, M., Sun, J., Gu, J., Zhang, W., and Hao, Y. Association of long-term exposure to PM_2.5 and its chemical components with the reduced quality of sleep. Sleep Medicine, 2024, 121, 251-257. https://doi.org/10.1016/j.sleep.2024.07.007

• Zhan, Z., Xu, X., Wei, J.^#, Fang, H., Zhong, X., Liu, M., Chen, Z., Ye, W., and He, F. Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China. Ecotoxicology and Environmental Safety, 2024, 271, 115931. https://doi.org/10.1016/j.ecoenv.2024.115931

• Zhang, C., Yang, J., Wei, J., Liu, Y., Zhu, H., Li, X., Wang, J., and Chen, R. Individual ambient ozone exposure during pregnancy and adverse birth outcomes: Exploration of the potentially vulnerable windows. Journal of Hazardous Materials, 2024, 464, 132945. https://doi.org/10.1016/j.jhazmat.2023.132945

• Zhang, P., Kan, Z., Zhao, K., Liu, C., Liu, C., Xia, W., Shi, C., Wei, J., Zhang, B., Lu, Z., Xue, F., Guo, X., Jia, X, and Mi, J. Long-term temperature variability and death among stroke patients: A cohort study in central Shandong province, China. Building and Environment, 2024, 249, 111159. https://doi.org/10.1016/j.buildenv.2024.111159

• Zhang, W., Kong, M., Jiang, Y., Gan, Q., Wei, J., Zhang, Q., Wang, J., Shen, J., and Wu, S. Ambient air pollutants exposure during gestation and incidence risk of hypertensive disorders of pregnancy or preeclampsia in China. Environmental Pollution, 2024, 359, 124722. hhttps://doi.org/10.1016/j.envpol.2024.124722

• Zhang, Y., Wang, Y., Zheng, H., and Wei, J.* Increased mortality risk from airborne exposure to polycyclic aromatic hydrocarbons. Journal of Hazardous Materials, 2024, 474, 134714. https://doi.org/10.1016/j.jhazmat.2024.134714

• Zhang, Y., Wei, J.^#, Zhao, S., Zeng, Q., Sun, S., and Cao, W. Ambient fine particulate matter constituents and semen quality among adult men in China. Journal of Hazardous Materials, 2024, 465, 133313. https://doi.org/10.1016/j.jhazmat.2023.133313

• Zhang, Y., Chen, S., Wei, J.^#, Jiang, J., Lin, X., Wang, Y., Hao, C., Wu, W., Yuan, Z., Sun, J., Wang, H., Du, Z., Zhang, W., and Hao, Y. Long-term PM₁ exposure and hypertension hospitalization: A causal inference study on a large community-based cohort in South China. Science Bulletin, 2024, 69(9), 1313-1322. https://doi.org/10.1016/j.scib.2024.03.028

• Zhang, Z., Wang, C., Lin, C., Wu, Y., Wei, J., Lu, J., Chen, B., Wu, C., Zhang, X., Yang, Y., Cui, J., Xu, W., Song, L., Yang, H., Zhang, Y., He, W., Tian, Y., Zhou, X., and Li, X. Association of long-term exposure to ozone with cardiovascular mortality and its metabolic mediators: evidence from a nationwide, population-based, prospective cohort study. The Lancet Regional Health – Western Pacific, 2024, 52, 101222. https://doi.org/10.1016/j.lanwpc.2024.101222

• Zhao, Z., Guo, M., Tan, P., Xian, X., Zhao, Y., Liu, L., Luo, L., Wang, X., Liu, X., Guo, X., Wei, J., and Luo, Y. Ambient air pollution and stroke risk among different accumulation patterns of comorbidities: Casual inference study based on marginal ‘between-within’ model. Atmospheric Pollution Research, 2024, 15(2), 102308. https://doi.org/10.1016/j.lanwpc.2024.101222

• Zhou, H., Liang, X., Zhang, X., Wu, J., Jiang, Y., Guo, B., Wang, J., Meng, Q., Ding, X., Baima, Y., Li, J., Wei, J.*, Zhang, J., and Zhao, X. Associations of long‐term exposure to fine particulate constituents with cardiovascular diseases and underlying metabolic mediations: A prospective population‐based cohort in Southwest China. Journal of the American Heart Association, 2024, 13, e033455. https://doi.org/10.1161/JAHA.123.033455

 

2023 (53)

• Wei, J.*, Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM_2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3 Media Outlets (Nature Communities, UMD)

• Wei, J.*, Wang, J., Li, Z., Kondragunta, S., Anenberg, S., Wang, Y., Zhang, H., Diner, D., Hand, J., Lyapustin, A., Kahn, R., Colarco, P., da Silva, A., and Ichoku, C. Long-term mortality burden trends attributed to black carbon and PM_2.5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study. The Lancet Planetary Health, 2023, 7, e963–e975. https://doi.org/10.1016/S2542-5196(23)00235-8 Media Outlets (CBS News, The Hill, Yahoo News, U.S. News, et al.)

• Wei, J.*, Li, Z., Chen, X., Li, C., Sun, Y., Wang, J., Lyapustin, A., Brasseur, G., Jiang, M., Sun, L., Wang, T., Jung, C., Qiu, B., Fang, C., Liu, X., Hao, J., Wang, Y., Zhan, M., Song, X., and Liu, Y. Separating daily 1 km PM_2.5 inorganic chemical composition in China since 2000 via deep learning integrating ground, satellite, and model data. Environmental Science & Technology, 2023, 57(46), 18282–18295. https://doi.org/10.1021/acs.est.3c00272 (ESI Highly Cited Paper)

• Wei, J.*, Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO₂, SO₂, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023 (ESI Hot and Highly Cited Paper)

• Bai, H., Gao, W., Seong, M., Yan, R., Wei, J., and Liu, C. Evaluating and optimizing PM_2.5 stations in Yangtze River Delta from a spatial representativeness perspective. Applied Geography, 2023, 149, 102949. https://doi.org/10.1016/j.apgeog.2023.102949

• Cai, M., Wei, J.^#, Zhang, S., Liu, W., Wang, L., Qian, Z., Lin, H., Liu, E., McMillin, S., Cao, Y., and Yin, P. Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratifed case-crossover study in China from 2015 to 2019. BMC Medicine, 2023, 21, 32. https://doi.org/10.1186/s12916-023-02734-9 (ESI Highly Cited Paper)

• Cai, M., Lin, X., Wang, X., Zhang, S., Qian, Z., McMillin, S., Aaron, H., Lin, H., Wei, J.*, Zhang, Z., and Pan, J. Ambient particulate matter pollution of different sizes associated with recurrent stroke hospitalization in China: A cohort study of 1.07 million stroke patients. Science of The Total Environment, 2023, 856, 159104. https://doi.org/10.1016/j.scitotenv.2022.159104 (ESI Highly Cited Paper)

• Chen, S., Zhang, Y., Wang, Y., Lawrence, W., Rhee, J., Guo, T., Chen, S., Du, Z., Wu, W., Li, Z., Wei, J.*, Hao, Y., and Zhang, W. Long-term particulate matter exposure and the risk of neurological hospitalization: Evidence from causal inference of a large longitudinal cohort in South China. Chemosphere, 2023, 345, 140397. https://doi.org/10.1016/j.chemosphere.2023.140397

• Cheng, J., Zheng, H., Wei, J., Huang, C., Ho, H., Sun, S., Phung, D., Kim, H., Wang, X., Bai, Z., Hossain, M., Tong, S., Su, H., and Xu, Z. Short-term residential exposure to air pollution and risk of acute myocardial infarction deaths at home in China. Environmental Science and Pollution Research, 2023. https://doi.org/10.1007/s11356-023-27813-5

• Deng, X., Wang, Q., Shi, C., Wei, J., Lv, Z., Huang, S., Duan, Y., Zhang, X., and Liu, Y. Heat wave exposure and semen quality in sperm donation volunteers: A retrospective longitudinal study in south China. Environmental Research, 2023, 236, 116665. https://doi.org/10.1016/j.envres.2023.116665

• Fan, Z., Li, Y., Wei, J., Chen, G., Wang, R., Xu, R., Liu, T., Lv, Z., Huang, S., Sun, H., and Liu, Y. Long-term exposure to fine particulate matter and site-specific cancer mortality: A difference-in-differences analysis in Jiangsu province, China. Environmental Research, 2023, 222, 115405. https://doi.org/10.1016/j.envres.2023.115405

• Hu, K., Zhang, Z., Li, Y., Wang, S., Ye, T., Song, J., Zhang, Y., Wei, J., Cheng, J., Shen, Y., Pan, J., Fu, J., Qi, J., Guo, Y., Zeng, Y., and Yao, Y. Urban overall and visible greenness and diabetes among older adults in China. Landscape and Urban Planning, 2023, 240, 104881. https://doi.org/10.1016/j.landurbplan.2023.104881

• Hu, M., Wei, J.^#, Hu, Y., Guo, X., Li, Z., Liu, Y., Li, S., Xue, Y., Li, Y., Liu, M., Wang, L., and Liu, X. Long-term effect of submicronic particulate matter (PM₁) and intermodal particulate matter (PM_1-2.5) on incident dyslipidemia in China: A nationwide 5-year cohort study. Environmental Research, 2023, 216, 114860. https://doi.org/10.1016/j.envres.2022.114860

• Gao, G., Pueppke, S., Tao, Q., Wei, J., Ou, W., and Tao, Y. Effect of urban form on PM_2.5 concentrations in urban agglomerations of China: Insights from different urbanization levels and seasons. Journal of Environmental Management, 2023, 327, 116953. https://doi.org/10.1016/j.jenvman.2022.116953

• Li, H., Liang, L., Zhang, S., Qian, Z., Cai, M., Wang, X., McMillin, S., Keith, A., Wei, J., Geng, Y., and Lin, H. Short-term ambient particulate matter pollution of different sizes and respiratory hospital admission in the Beibu Gulf area of Southern China. Atmospheric Environment, 2023, 294, 119524. https://doi.org/10.1016/j.atmosenv.2022.119524

• Li, J., Xue, J., Wei, J., Ren, Z., Yu, Y., An, H., Yang, X., and Yang, Y. Insighting drivers of population exposure to ambient ozone (O₃) concentrations across China using a spatiotemporal causal inference method. Remote Sensing, 2023, 15(19), 4871. https://doi.org/10.3390/rs15194871

• Li, M., Edgell, R., Wei, J.^#, Li, H., Qian, Z., Feng, J., Tian, F., Wang, X., Xin, Q., Cai, M., and Lin, H. Air pollution and stroke hospitalization in the Beibu Gulf Region of China: A case-crossover analysis. Ecotoxicology and Environmental Safety, 2023, 255, 114814. https://doi.org/10.1016/j.ecoenv.2023.114814

• Li, S., Wei, J.^#, Hu, Y., Liu, Y., Hu, M., Shi, Y., Xue, Y., Liu, M., Xie, W., Guo, X., and Liu, X. Long-term effect of intermediate particulate matter (PM_1-2.5) on incident asthma among middle-aged and elderly adults: A national population-based longitudinal study. Science of The Total Environment, 2023, 859, 160204. https://doi.org/10.1016/j.scitotenv.2022.160204

• Li, Y., Li, B., Liao, H., Zhou, B., Wei, J., Wang, Y., Zang, Y., Yang, Y., Liu, R., and Wang, X. Changes in PM_2.5-related health burden in China's poverty and non-poverty areas during 2000–2020: A health inequality perspective. Science of The Total Environment, 2023, 859, 160517. https://doi.org/10.1016/j.scitotenv.2022.160517

• Li, Y., Guo, B., Meng, Q., Yin, L., Chen, L., Wang, X., Jiang, Y., Wei, J., Wang, J., Xia, J., Wang, Z., Duoji, Z., Li, X., Nima, Q., and Zhao, X. Associations of long-term exposure to air pollution and physical activity with the risk of systemic inflammation-induced multimorbidity in Chinese adults: results from the China multi-ethnic cohort study (CMEC). BMC Public Health, 2023, 23, 2556. https://doi.org/10.1186/s12889-023-17518-2

• Li, Y., Yuan, X., Wei, J., Sun, Y., Ni, W., Zhang, H., Zhang, Y., Wang, R., Xu, R., Chen, G., and Liu, Y. Long-term exposure to ambient particulate matter and kidney function in older adults. Atmospheric Environment, 2023, 295, 119535. https://doi.org/10.1016/j.atmosenv.2022.119535

• Lin, X., Cai, M., Tan, K., Liu, E., Wang, X., Song, C., Wei, J.*, Lin, H., and Pan, J. Ambient particulate matter and in-hospital case fatality of acute myocardial infarction: A multi-province cross-sectional study in China. Ecotoxicology and Environmental Safety, 2023, 268, 115731. https://doi.org/10.1016/j.ecoenv.2023.115731

• Liu, C., Yu, B., Liu, C., Tang, L., Zhao, K., Zhang, P., He, F., Wang, M., Shi, C., Lu, Z., Zhang, B., Wei, J.*, Xue, F., Guo, X., and Jia, X. Effect of neighbourhood greenness on the association between air pollution and risk of stroke first onset: A case-crossover study in shandong province, China. International Journal of Hygiene and Environmental Health, 2023, 254, 114262. https://doi.org/10.1016/j.ijheh.2023.114262

• Liu, T., Shi, C., Wei, J., Xu, R., Li, Y., Wang, R., Lu, W., Liu, L., Zhong, C., Zhong, Z., Zheng, Y., Wang, T., Hou, S., Lv, Z., Huang, S., Chen, G., Zhou, Y., Sun, H., and Liu, Y. Extreme temperature events and dementia mortality in Chinese adults: a population-based, case-crossover study. International Journal of Epidemiology, 2023, dyad119. https://doi.org/10.1093/ije/dyad119

• Liu, W., Cai, M., Long, Z., Tong, X., Li, Y., Wang, L., Zhou, M., Wei, J.*, Lin, H., and Yin, P. Association between ambient sulfur dioxide pollution and asthma mortality: Evidence from a nationwide analysis in China. Ecotoxicology and Environmental Safety, 2023, 249, 114442. https://doi.org/10.1016/j.ecoenv.2022.114442

• Lu, J., Wu, K., Ma, X., Wei, J., Yuan, Z., Huang, Z., Fan, W., Zhong, Q., Huang, Y., and Wu, X. Short-term effects of ambient particulate matter (PM₁, PM_2.5 and PM₁₀) on influenza-like illness in Guangzhou, China. International Journal of Hygiene and Environmental Health, 2023, 247, 114074. https://doi.org/10.1016/j.ijheh.2022.114074

• Lv, S., Shi, Y., Xue, Y., Hu, Y., Hu, M., Li, S., Xie, W., Li, Y., Ouyang, Y., Li, Z., Liu, M., Wei, J., Guo, X., and Liu, X. Long-term effects of particulate matter on incident cardiovascular diseases in middle-aged and elder adults: The CHARLS cohort study. Ecotoxicology and Environmental Safety, 2023, 262, 115181. https://doi.org/10.1016/j.ecoenv.2023.115181

• Lv, S., Liu, X., Li, Z., Lu, F., Guo, M., Liu, M., Wei, J., Wu, Z., Yu, S., Li, X., Gao, W., Tao, L., Wang, W., Xin, J., and Guo, X. Causal effect of PM₁ on morbidity of cause-specific respiratory diseases based on a negative control exposure. Environmental Research, 2023, 216, 114746. https://doi.org/10.1016/j.envres.2022.114746

• Ma, X., Duan, H., Zhang, H., Liu, X., Sun, X., Wei, J., Zhao, M., and Xi, B. Short-term effects of PM₁, PM_2.5, and PM_2.5 constituents on myocardial infarction mortality in qingdao, China: A time-stratified case-crossover analysis. Atmospheric Environment, 2023, 294, 119478. https://doi.org/10.1016/j.envres.2022.114746

• Ma, Y., Zhang, Y., Wang, W., Qin, P., Li, H., Jiao, H., and Wei, J.. Estimation of health risk and economic loss attributable to PM_2.5 and O₃ pollution in Jilin Province, China. Scientific Reports, 2023, 13, 17717. https://doi.org/10.1038/s41598-023-45062-x

• Pang, S., Sun, L., Tian, Y., Ma, Y., and Wei, J.*. Convolutional neural network-driven improvements in global cloud detection for Landsat 8 and transfer learning on Sentinel-2 imagery. Remote Sensing, 2023, 15(6), 1706. https://doi.org/10.3390/rs15061706

• Tian, Y., Wu, J., Wu, Y., Wang, M., Wang, S., Yang, R., Wang, X., Wang, J., Yu, H., Li, D., Wu, T., Wei, J.*, and Hao, Y. Short-term exposure to reduced specific-size ambient particulate matter increase the risk of cause-specific cardiovascular disease: A national-wide evidence from hospital admissions. Ecotoxicology and Environmental Safety, 2023, 263, 115327. https://doi.org/10.1016/j.ecoenv.2023.115299

• Tian, Z., Wei, J.^#, and Li, Z. How important is satellite-retrieved aerosol optical depth in deriving surface PM_2.5 using machine learning? Remote Sensing, 2023, 15(15), 3780. https://doi.org/10.3390/rs15153780 (Editor's Choice Article)

• Wang, L., Xu, T., Wang, Q., Ni, H., Yu, X., Song, C., Li, Y., Li, F., Meng, T., Sheng, H., Cai, X., Dai, T., Xiao, L., Zeng, Q., Guo, P., Wei, J.*, and Zhang, X. Exposure to fine particulate matter constituents and human semen quality decline: a multicenter study. Environmental Science & Technology, 2023, 57(35), 13025–13035. https://doi.org/10.1021/acs.est.3c03928

• Wang, Y., Liu, Q., Tian, Z., Cheng, B., Guo, X., Wang, H., Zhang, B., Xu, Y., Sun, L., Hu, B., Chen, G., Sheng, J., Liang, C., Tao, F., Wei, J.*, and Yang, L. Short-term effects of ambient PM₁, PM_2.5, and PM₁₀ on internal metal/metalloid profiles in older adults: A distributed lag analysis in China. Environment International, 2023, 182, 108341. https://doi.org/10.1016/j.envint.2023.108341

• Wang, Y., Luo, S., Wei, J., Yang, Z., Hu, K., Yao, Y., and Zhang, Y. Ambient NO₂ exposure hinders long-term survival of Chinese middle-aged and older adults. Science of The Total Environment, 2023, 855, 158784. https://doi.org/10.1016/j.scitotenv.2022.158784

• Wang, Y., Jiang, J., Chen, L., Guo, T., Chen, S., Du, Z., Wei, J.*, Zhang, W., and Hao, Y. Is COPD mortality in South China causally linked to the long-term PM₁ exposure? Evidence from a large community-based cohort. Ecotoxicology and Environmental Safety, 2023, 263, 115299. https://doi.org/10.1016/j.ecoenv.2023.115299

• Wang, Y., Wei, J.^#, Zhang, Y., Guo, T., Chen, S., Wu, W., Chen, S., Li, Z., Qu, Y., Xiao, J., Deng, X., Liu, Y., Du, Z., Zhang, W., and Hao, Y. Estimating causal links of long-term exposure to particulate matters with all-cause mortality in South China. Environment International, 2023, 171, 107726. https://doi.org/10.1016/j.envint.2022.107726

• Xu, R., Huang, S., Shi, C., Wang, R., Liu, T., Li, Y., Zheng, Y., Lv, Z., Wei, J.*, Sun, H., and Liu, Y. Extreme temperature events, fine particulate matter, and myocardial infarction mortality. Circulation, 2023, 148, 312–323. https://doi.org/10.1161/CIRCULATIONAHA.122.063504 (ESI Highly Cited Paper)

• Yang, Y., Xu, X., Wei, J., You, Q., Wang, J., and Xi, B. A method of gas-related pollution source layout based on multi-source data: A case study of shaanxi province, China. Journal of Environmental Management, 2023, 347, 119198. https://doi.org/10.1016/j.jenvman.2023.119198

• Yao, R., Wang, R., Huang, X., Cao, Q., Wei, J., He, P., Wang, S., and Wang, L. Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020. Remote Sensing of Environment, 2023, 286, 113422. https://doi.org/10.1016/j.rse.2022.113422

• Yao, J., Wu, S., Cao, Y., Wei, J., Tang, X., Hu, L., Wu, J., Yang, H., Yang, J., and, Ji, X. Dry deposition effect of urban green spaces on ambient particulate matter pollution in China. Science of The Total Environment, 2023, 900, 165830. https://doi.org/10.1016/j.scitotenv.2023.165830

• Zhang, F., Tang, H., Zhao, D., Zhang, X., Zhu, S., Zhao, G., Zhang, X., Li, T., Wei, J.*, Li, D., and Zhu, W. Short-term exposure to ambient particulate matter and mortality among HIV/AIDS patients: Case-crossover evidence from all counties of Hubei province, China. Science of The Total Environment, 2023, 857, 159410. https://doi.org/10.1016/j.scitotenv.2022.159410

• Zhang, J., Zhang, F., Xin, C., Duan, Z., Wei, J., Zhang, X., Han, S., and Niu, Z. Associations of long-term exposure to air pollution, physical activity with blood pressure and prevalence of hypertension: the China Health and Retirement Longitudinal Study. Frontiers in Public Health, 2023, 11, 1137118. https://doi.org/10.3389/fpubh.2023.1137118

• Zhang, X., Zhang, F., Gao, Y., Zhong, Y., Zhang, Y., Zhao, G., Zhu, S., Zhang, X., Li, T., Chen, B., Han, A., Wei, J.*, Zhu, W., and Li, D. Synergic effects of PM₁ and thermal inversion on the incidence of small for gestational age infants: a weekly-based assessment. Journal of Exposure Science & Environmental Epidemiology, 2023, 1-11. https://doi.org/10.1038/s41370-023-00542-0

• Zhang, Y., Wei, J.^#, Liu, C., Cao, W., Zhang, Z., Li, Y., Zeng, Q., and Sun, S. Association between ambient PM₁ and semen quality: A cross-sectional study of 27,854 men in China. Environment International, 2023, 175, 107919. https://doi.org/10.1038/s41370-023-00542-0

• Zhang, Y., Zhang, Y., Chen, S., Chen, L., Wu, Y., Wei, J., Ma, T., Chen, M., Ma, Q., Liu, J., Wang, X., Xing, Y., Wu, L., Li, W., Liu, X., Guo, X., Ma, J., Dong, Y., and Zhang, J. Association of SO₂/CO exposure and greenness with high blood pressure in children and adolescents: A longitudinal study in China. Frontiers in Public Health, 2023, 11, 1097510. https://doi.org/10.3389/fpubh.2023.1097510

• Zheng, M., Yin, Z., Wei, J., Yu, Y., Wang, K., Yuan, Y., Wang, Y., Zhang, L., Wang, F., and Zhang, Y. Submicron particle exposure and stroke hospitalization: An individual-level case-crossover study in Guangzhou, China, 2014–2018. Science of The Total Environment, 2023, 886, 163988. https://doi.org/10.1016/j.scitotenv.2023.163988

• Zhou, Q., Li, X., Zhang, J., Duan, Z., Mao, S., Wei, J., Han, S., and Niu, Z. Long-term exposure to PM₁ is associated with increased prevalence of metabolic diseases: evidence from a nationwide study in 123 Chinese cities. Environmental Science and Pollution Research, 2023. https://doi.org/10.1007/s11356-023-31098-z

• Zhou, W., Wen, Z., Peng, W., Wang, X., Wang, W., Wei, J.*, and Xiong, H. Association of ambient particulate matter with hospital admissions, length of hospital stay, and hospital costs due to cardiovascular disease: time-series analysis based on data from the Shanghai Medical Insurance System from 2016 to 2019. Environmental Sciences Europe, 2023, 46, 46. https://doi.org/10.1186/s12302-023-00754-z

• 何利杰, 杜梦晴, 韦 晶, 万 庆, 何培培, 王伦澈. 长江中游城市群土地利用变化对PM_2.5污染的影响及空间溢出效应. 长江流域资源与环境, 2023, 32(05), 1018-1029.

• 刘 威, 蔡 苗, 龙 政, 王黎君, 韦 晶, 周脉耕, 林华亮, 殷 鹏. 大气一氧化碳短期暴露与哮喘死亡关系的时间分层病例交叉研究. 环境卫生学杂志, 2023, 13(04), 243-249+301.

• 赵平伟, 杨力羽, 李 斌, 尤文龙, 王佳妮, 史建武, 韦 晶. 滇西南地区PM_2.5时空变化特征及其季节性增强的成因分析. 气象, 2023, 49(01), 87-98.

 

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• Wei, J.*, Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O₃) pollution from 2013 to 2020 across China. Remote Sensing of Environment, 2022, 270, 112775. https://doi.org/10.1016/j.rse.2021.112775 (ESI Hot and Highly Cited Paper)

• Wei, J.*, Liu, S., Li, Z., Liu, C., Qin, K., Liu, X., Pinker, R., Dickerson, R., Lin, J., Boersma, K., Sun, L., Li, R., Xue, W., Cui, Y., Zhang, C., and Wang, J. Ground-level NO₂ surveillance from space across China for high resolution using interpretable spatiotemporally weighted artificial intelligence. Environmental Science & Technology, 2022, 56(14), 9988–9998. https://doi.org/10.1021/acs.est.2c03834 (ESI Highly Cited Paper)

• Wei, J.*, Li, Z., Sun, L., Xue, W., Ma, Z., Liu, L., Fan, T., and Cribb, M. Extending the EOS long-term PM_2.5 data records since 2013 in China: application to the VIIRS Deep Blue aerosol products. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4100412. https://doi.org/10.1109/TGRS.2021.3050999

• Ao, L., Zhou, J., Han, M., Li, H., Li, Y., Pan, Y., Chen, J., Xie, X., Jiang, Y., Wei, J., Chen, G., Li, S., Guo, Y., Hong, F., Li, Z., Xiao, X., and Zhao, X. The joint effects of physical activity and air pollution on type 2 diabetes in older adults. BMC Geriatrics, 2022, 22, 472. https://doi.org/10.1186/s12877-022-03139-8

• Bai, H., Yan, R., Gao, W., Wei, J., and Seong, M. Spatial representativeness of PM_2.5 monitoring stations and its implication for health assessment. Air Quality, Atmosphere & Health, 2022, 15, 1571–1581. https://doi.org/10.1007/s11869-022-01202-2

• Cai, Z., Li, Z., Li, P., Li, J., Sun, H., Yang, Y., Gao, X., Ren, G., Ren, R., and Wei, J. Vertical distributions of aerosol microphysical and optical properties based on aircraft measurements made over the Loess Plateau in China. Atmospheric Environment, 2022, 270, 118888. https://doi.org/10.1016/j.atmosenv.2021.118888

• Chen, L., Xie, J., Ma, T., Chen, M., Gao, D., Li, Y., Ma, Y., Wen, B., Jiang, J., Wang, X., Zhang, J., Chen, S., Wu, L., Li, W., Liu, X., Dong, B., Wei, J., Guo, X., Huang, S., Song, Y., Dong, Y., and Ma, J. Greenness alleviates the effects of ambient particulate matter on the risks of high blood pressure in children and adolescents. Science of The Total Environment, 2022, 812, 152431. https://doi.org/10.1016/j.scitotenv.2021.152431

• Chen, L., Wei, J., Ma, T., Gao, D., Wen, B., Chen, M., Li, Y., Jiang, J., WU, L., Li, W., Liu, X., Song, Y., Guo, X., Dong, Y., and Ma, J. Could greenness modify the effects of physical activity and air pollutants on overweight and obesity among children and adolescents? Science of The Total Environment, 2022, 832, 155117. https://doi.org/10.1016/j.scitotenv.2022.155117

• Chen, L., Gao, D., Ma, T., Chen, M., Li, Y., Ma, Y., Wen, B., Jiang, J., Wang, X., Zhang, J., Chen, S., Wu, L., Li, W., Liu, X., Guo, X., Huang, S., Wei, J.*, Song, Y., Ma, J., and Dong, Y. Ambient gaseous pollutant exposure and incidence of visual impairment among children and adolescents: fndings from a longitudinal, two‑center cohort study in China. Environmental Science and Pollution Research, 2022, 29, 73262–73270. https://doi.org/10.1007/s11356-022-20025-3

• Chen, S., Tong, B., Russell, L., Wei, J., Guo, J., Mao, F., Liu, D., Huang, Z., Xie, Y., Qi, B., Zhang, H., Sun, Y., Zhang, B., Xu, C., Wu, L., and Liu, D. Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM_2.5 estimate. Remote Sensing of Environment, 2022, 281, 113224. https://doi.org/10.1016/j.rse.2022.113224

• Feng, S., Meng, Q., Guo, B., Guo, Y., Chen, G., Pan, Y., Zhou, J., Cuociren, P., Xu, J., Zeng, Q., Wei, J., Xu, H., Chen, L., Zeng, C., and Zhao, X. Joint exposure to air pollution, ambient temperature and residential greenness and their association with metabolic syndrome (MetS): A large population-based study among Chinese adults. Environmental Research, 2022, 214, 113699. https://doi.org/10.1016/j.envres.2022.113699

• Feng, Y., Wei, J., Hu, M., Xu, C., Li, T., Wang, J., and Chen, W. Lagged effects of exposure to air pollutants on the risk of pulmonary tuberculosis in a highly polluted region. International Journal of Environmental Research and Public Health, 2022, 19, 5752. https://doi.org/10.3390/ijerph19095752

• Ge, E., Gao, J., Wei, X., Ren, Z., Wei, J., Liu, X., Wang, W., Zhong, J., Lu, J., Tian, X., Fei, F., Chen, B., Wang, X., Peng, Y., Luo, M., and Lei, J. Effect modification of greenness on PM_2.5 associated with all-cause mortality in a multidrug resistant tuberculosis cohort. Thorax, 2022, 77, 1202-1209. http://dx.doi.org/10.1136/thoraxjnl-2020-216819

• Guo, H., Li, X., Wei, J., Li, W., Wu, J., and Zhang, Y. Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties. BMC Public Health, 2022, 22, 344. https://doi.org/10.1186/s12889-022-12622-1

• Gündoğdu, S., Tuna Tuygun, G., Li, Z., Wei, J., Li, W., Wu, J., and Zhang, Y. Estimating daily PM_2.5 concentrations using an extreme gradient boosting model based on VIIRS aerosol products over southeastern Europe. Air Quality, Atmosphere & Health, 2022, 15, 2185–2198. https://doi.org/10.1007/s11869-022-01245-5

• Jiang, Y., Zhuo, B., Guo, B., Zeng, P., Guo, Y., Chen, G., Wei, J., He, R., Li, Z., Zhang, X., Wang, Z., Li, X., Wang, L., Zeng, C., Chen, L., Xiao, X., and Zhao, X. Living near greenness is associated with higher bone strength: A large cross-sectional epidemiological study in China. Science of The Total Environment, 2022, 831, 155393. https://doi.org/10.1016/j.scitotenv.2022.155393

• Jin, X., Li, Z., Wu, T., Wang, Y., Cheng, Y., Su, T., Wei, J., Ren, R., Wu, H., Li, S., Zhang, D., and Cribb, M. The different sensitivities of aerosol optical properties to particle concentration, humidity, and hygroscopicity between the surface level and the upper boundary layer in Guangzhou, China. Science of The Total Environment, 2022, 803, 150010. https://doi.org/10.1016/j.scitotenv.2021.150010

• Han, S., Zhang, F., Yu, H., Wei, J., Xue, L., and Niu, Z. Systemic inflammation accelerates the adverse effects of air pollution on metabolic syndrome: Findings from the China health and Retirement Longitudinal Study (CHARLS). Environmental Research, 2022, 215, 114340. https://doi.org/10.1016/j.envres.2022.114340

• He, F., Wei, J.^#, Dong, Y., Liu, C., Zhao, K., Peng, W., Lu, Z., Zhang, B., Xue, F., Guo, X., and Jia, X. Associations of ambient temperature with mortality for ischemic and hemorrhagic stroke and the modification effects of greenness in Shandong Province, China. Science of The Total Environment, 2022, 851, 158046. https://doi.org/10.1016/j.scitotenv.2022.158046

• He, L., Wei, J., Wang, Y., Shang, Q., Liu, J., Yin, Y., Frankerberg, C., Jiang, J., Li, Z., and Yung, Y. Marked impacts of pollution mitigation on crop yields in China. Earth's Future, 2022, 10, e2022EF002936. https://doi.org/10.1029/2022EF002936

• Hu, K., Li, W., Zhang, Y., Chen, H., Bai, C., Yang, Z., Lorenz, T., Liu, K., Kokoro, S., Song, J., Zhao, Q., Zhao, Y., Zhang, J., Wei, J., Pan, J., Qi, J., Ye, T., Zeng, Y., and Yao, Y. Association between outdoor artificial light at night and sleep duration among older adults in China: A cross-sectional study. Environmental Research, 2022, 212, 113343. https://doi.org/10.1016/j.envres.2022.113343

• Li, S., Meng, Q., Laba, C., Guan, H., Wang, Z., Pan, Y., Wei, J., Xu, H., Zeng, C., Wang, X., Jiang, M., Lu, R., Guo, B., and Zhao, X. Associations between long-term exposure to ambient air pollution and renal function in Southwest China: The China Multi-Ethnic Cohort (CMEC) study. Ecotoxicology and Environmental Safety, 2022, 242, 113851. https://doi.org/10.1016/j.ecoenv.2022.113851

• Li, X., Xue, W., Wang, K., Che, Y., and Wei, J.* Environmental regulation and synergistic effects of PM_2.5 control in China. Journal of Cleaner Production, 2022, 337, 130438. https://doi.org/10.1016/j.jclepro.2022.130438

• Li, Y., Yuan, X., Wei, J., Sun, Y., Ni, W., Zhang, H., Zhang, Y., Wang, R., Xu, R., Liu, T., Yang, C., Chen, G., Xu, J., and Liu, Y. Long-term exposure to ambient air pollution and serum liver enzymes in older adults: a population-based longitudinal study. Annals of Epidemiology, 2022, 74, 1-7. https://doi.org/10.1016/j.annepidem.2022.05.011

• Li, Y., Feng, Z., Li, L., Li, T., Guo, F., Wei, J., Yan, Y., and Wang, L. Surface urban heat islands in 932 urban region agglomerations in China during the morning and before midnight: spatial-temporal changes, drivers, and simulation. Geocarto International, 2022, 37(26), 13689-13710. https://doi.org/10.1080/10106049.2022.2082552

• Lin, H., Zhu, J., Jiang, P., Cai, Z., Yang, X., Zhou, Z., and Wei, J.* Assessing drivers of coordinated control of ozone and fine particulate pollution: Evidence from Yangtze River Delta in China. Environmental Impact Assessment Review, 2022, 96, 106840. https://doi.org/10.1016/j.eiar.2022.106840

• Lin, L., Chen, Y., Wei, J., Wu, S., Wu, S., Jing, J., Dong, G., and Cai, L. The associations between residential greenness and allergic diseases in Chinese toddlers: A birth cohort study. Environmental Research, 2022, 214, 114003. https://doi.org/10.1016/j.envres.2022.114003

• Liu, T., Zhou, Y., Wei, J., Chen, Q., Xu, R., Pan, J., Lu, W., Wang, Y., Fan, Z., Li, Y., Xu, L., Cui, X., Shi, C., Zhang, L., Chen, X., Bao, W., Sun, H., and Liu, Y. Association between short-term exposure to ambient air pollution and dementia mortality in Chinese adults. Science of the Total Environment, 2022, 849, 157860. https://doi.org/10.1016/j.scitotenv.2022.157860

• Liu, W., Wei, J.^#, Cai, M., Qian, Z., Long, Z., Wang, L., Vaughn, M., Aaron, H., Tong, X., Li, Y., Yin, P., Lin, H., and Zhou, M. Particulate matter pollution and asthma mortality in China: A nationwide time-stratified case-crossover study from 2015 to 2020. Chemosphere, 2022, 308, 136316. https://doi.org/10.1016/j.chemosphere.2022.136316

• Meng, F., Zhang, Y., Kang, J., Heal, M. R., Reis, S., Wang, M., Liu, L., Wang, K., Yu, S., Li, P., Wei, J., Hou, Y., Zhang, Y., Liu, X., Cui, Z., Xu, W., and Zhang, F. Trends in secondary inorganic aerosol pollution in China and its responses to emission controls of precursors in wintertime. Atmospheric Chemistry and Physics, 2022, 22, 6291–6308. https://doi.org/10.5194/acp-22-6291-2022

• Niu, Z., Duan, Z., Wei, J., Wang, F., Han, D., Zhang, K., Jing, Y., Wen, W., Qin, W., and Yang, X. Associations of long-term exposure to ambient ozone with hypertension, blood pressure, and the mediation effects of body mass index: A national cross-sectional study of middle-aged and older adults in China. Ecotoxicology and Environmental Safety, 2022, 242, 113901. https://doi.org/10.1016/j.ecoenv.2022.113901

• Pan, X., Li, J., Wei, J., Yue, Y., and Liu, L. Measuring green development level at a regional scale: framework, model, and application. Environmental Monitoring and Assessment, 2022, 194, 343. https://doi.org/10.1007/s10661-022-09953-2

• Song, J., Du, P., Yi, W., Wei, J.^#, Fang, J., Pan, R., Zhao, F., Zhang, Y., Xu, Z., Sun, Q., Liu, Y., Chen, C., Cheng, J., Liu, Y., Li, T., Su, H., and Shi, X. Using an exposome-wide approach to explore the impact of urban environments on blood pressure among adults in Beijing–Tianjin–Hebei and surrounding areas of China. Environmental Science & Technology, 2022, 56, 8395−8405. https://doi.org/10.1021/acs.est.1c08327

• Song, J., Ding, Z., Zheng, H., Xu, Z., Cheng, J., Pan, R., Yi, W., Wei, J.*, and Su, H. Short-term PM₁ and PM_2.5 exposure and asthma mortality in Jiangsu Province, China: What’s the role of neighborhood characteristics? Ecotoxicology and Environmental Safety, 2022, 241, 113765. https://doi.org/10.1021/acs.est.1c08327

• Wang, L., Zhang, J., Wei, J.^#, Zong, J., Lu, C., Du, Y., and Wang, Q. Role of liver enzymes in the relationship between particulate matter exposure and diabetes risk: a longitudinal cohort study. Environmental Pollution, 2022, 312, 120020. https://doi.org/10.1016/j.envpol.2022.120020

• Wang, R., Xu, R., Wei, J., Liu, T., Ye, Y., Li, Y., Lin, Q., Zhou, Y., Huang, S., Lv, Z., Tian, Q., and Liu, Y. Short-Term exposure to ambient air pollution and hospital admissions for sequelae of stroke in Chinese older adults. GeoHealth, 2022, 6(11), e2022GH000700. https://doi.org/10.1029/2022GH000700

• Wang, X., Guo, B., Yang, X., Li, J., Baima, Y., Yin, J., Yu, J., Xu, H., Zeng, C., Feng, S., Wei, J.*, Hong, F., and Zhao, X. Role of liver enzymes in the relationship between particulate matter exposure and diabetes risk: a longitudinal cohort study. Journal of Clinical Endocrinology & Metabolism, 2022, 107, e4086–e4097. https://doi.org/10.1210/clinem/dgac438

• Wang, Y., Cao, R., Xu, Z., Jin, J., Wang, J., Yang, T., Wei, J.*, Huang, J., and Li, G. Long-term exposure to ozone and diabetes incidence: A longitudinal cohort study in China. Science of the Total Environment, 2022, 816, 151634. https://doi.org/10.1016/j.scitotenv.2021.151634

• Wu, C., Zhang, Y., Wei, J., Zhao, Z., Norbäck, D., Zhang, X., Lu, C., Yu, W., Wang, T., Zheng, X., and Zhang, L. Associations of early-life exposure to submicron particulate matter with childhood asthma and wheeze in China. JAMA Network Open, 2022, 5(10), e2236003. https://doi.org/10.1001/jamanetworkopen.2022.36003

• Wu, H., Zhang, B., Wei, J.^#, Lu, Z., Zhao, M., Liu, W., Bovet, P., Guo, X., and Xi, B. Short-term effects of exposure to ambient PM₁, PM_2.5, and PM₁₀ on ischemic and hemorrhagic stroke incidence in Shandong Province, China. Environmental Research, 2022, 212, 113350. https://doi.org/10.1016/j.envres.2022.113350

• Wu, H., Zhang, Y., Zhao, M., Liu, W., Magnussen, C., Wei, J.*, and Xi, B. Short-term effects of exposure to ambient PM₁ on blood pressure in children and adolescents aged 9 to 18 years in Shandong Province, China. Atmospheric Environment, 2022, 283, 119180. https://doi.org/10.1016/j.atmosenv.2022.119180

• Wu, H., Zhang, Y., Wei, J., Bovet, P., Zhao, M., Liu, W., and Xi, B. Association between short-term exposure to ambient PM₁ and PM_2.5 and forced vital capacity in Chinese children and adolescents. Environmental Science and Pollution Research, 2022, 29, 71665–71675. https://doi.org/10.1007/s11356-022-20842-6

• Wu, H., Lu, Z., Wei, J., Zhang, B., Liu, X., Zhao, M., Liu, W., Guo, X., and Xi, B. Effects of the COVID-19 lockdown on air pollutant levels and associated reductions in ischemic stroke incidence in Shandong Province, China. Fronties in Public Health, 2022, 10, 876615. https://doi.org/10.3389/fpubh.2022.876615

• Wu, Y., Zhang, T., Wang, Y., Wei, J., Huang, L., Yang, J., and Sun, H. Spatial heterogeneity in health risks of illness-related absenteeism associated with PM_2.5 exposure for elementary students. Environmental Research, 2022, 212, 113473. https://doi.org/10.1016/j.envres.2022.113473

• Xia, Y., Hu, Y., Huang, Y., Bian, J., Zhao, C., Wei, J., Yan, Y., Xie, F., and Lin, J. Concurrent hot extremes and high ultraviolet radiation in summer over the Yangtze Plain and their possible impact on surface ozone. Environmental Research Letters, 2022, 17, 064001. https://doi.org/10.1088/1748-9326/ac6c3c

• Xiong, J., Li, J., Wu, X., Wolfson, J., Lawrence, J., Stern, R., Koutrakis, P., Wei, J.*, and Huang, S. The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM₁ is larger than associations with PM_2.5 and PM₁₀. Environmental Research, 2022, 210, 113016. https://doi.org/10.1016/j.envres.2022.113350

• Xu, H., Yang, T., Guo, B., Silang, Y., Dai, Y., Baima, K., Gao, Y., Tang, S., Wei, J., Jiang, Y., Feng, S., Li, S., Xiao, X., and Zhao, X. Increased allostatic load associated with ambient air pollution acting as a stressor: Cross-sectional evidence from the China multi-ethnic cohort study. Science of the Total Environment, 2022, 831, 155658. https://doi.org/10.1016/j.scitotenv.2022.155658

• Xu, R., Wei, J.^#, Liu, T., Li, Y., Yang, C., Shi, C., Chen, G., Zhou, Y., Sun, H., and Liu, Y. Association of short-term exposure to ambient PM₁ with total and cause-specific cardiovascular disease mortality. Environment International, 2022, 169, 107519. https://doi.org/10.1016/j.envint.2022.107519

• Xu, R., Shi, C., Wei, J., Lu, W., Li, Y., Liu, T., Wang, Y., Zhou, Y., Chen, G., Sun, H., and Liu, Y. Cause-specific cardiovascular disease mortality attributable to ambient temperature: A time-stratified case-crossover study in Jiangsu province, China. Ecotoxicology and Environmental Safety, 2022, 236, 113498. https://doi.org/10.1016/j.ecoenv.2022.113498

• Xu, R., Wang, Q., Wei, J., Lu, W., Wang, R., Liu, T., Wang, Y., Fan, Z., Li, Y., Xu, L., Shi, C., Li, G., Chen, G., Zhang, L., Zhou, Y., Liu, Y. and Sun, H. Association of short-term exposure to ambient air pollution with mortality from ischemic and hemorrhagic stroke. European Journal of Neurology, 2022, 29, 1994-2005. https://doi.org/10.1111/ene.15343

• Xu, R., Tian, Q., Wei, J., Ye, Y., Li, Y., Lin, Q., Wang, Y., Liu, L., Shi, C., Xia, W., and Liu, Y. Short-term exposure to ambient air pollution and readmissions for heart failure among 3660 post-discharge patients with hypertension in older Chinese adults. Journal of Epidemiology & Community Health, 2022, 76, 984-990. http://dx.doi.org/10.1136/jech-2022-219676

• Xu, Y., Huang, Z., Ou, J., Jia, G., Wu, L., Liu, H., Lu, M., Fan, M., Wei, J., Chen, L., and Zheng, J. Near-real-time estimation of hourly open biomass burning emissions in China using multiple satellite retrievals. Science of the Total Environment, 2022, 817, 152777. https://doi.org/10.1016/j.scitotenv.2021.152777

• Xue, W., Li, X., Yang, Z., and Wei, J. Are house prices affected by PM_2.5 pollution? Evidence from Beijing, China. International Journal of Environmental Research and Public Health, 2022, 19, 8461. https://doi.org/10.3390/ijerph19148461

• Xue, W., Zhang, J., Hu, X., Yang, Z., and Wei, J.* Hourly seamless surface O₃ estimates by integrating the chemical transport and machine learning models in the Beijing-Tianjin-Hebei region. International Journal of Environmental Research and Public Health, 2022, 19, 8511. https://doi.org/10.3390/ijerph19148511

• Yan, M., Hou, F., Xu, J., Liu, H., Liu, H., Zhang, Y., Liu, H., Lu, C., Yu, P., Wei, J.*, and Tang, N. The impact of prolonged exposure to air pollution on the incidence of chronic non-communicable disease based on a cohort in Tianjin. Environmental Research, 2022, 215, 114251. https://doi.org/10.1016/j.envres.2022.114251

• Yu, X., Wang, Q., Wei, J., Zeng, Q., Xiao, L., Ni, H., Xu, T., Wu, H., Guo, P., and Zhang, X. Impacts of traffic-related particulate matter pollution on semen quality: A retrospective cohort study relying on the random forest model in a megacity of South China. Science of the Total Environment, 2022, 851, 158387. https://doi.org/10.1016/j.scitotenv.2022.158387

• Zhang, T., Wu, Y., Guo, Y., Yan, B., Wei, J., Zhang, H., Emng, X., Zhang, C., Sun, H., and Huang, L. Risk of illness-related school absenteeism for elementary students with exposure to PM_2.5 and O₃. Science of the Total Environment, 2022, 842, 156824. https://doi.org/10.1016/j.scitotenv.2022.156824

• Zhang, Y., Li, Z., Wei, J., Zhan, Y., Liu, L., Yang, Z., Zhang, Y., Liu, R., and Ma, Z. Longitudinal association between ambient nitrogen dioxide exposure and all-cause mortality in Chinese adults. Journal of Advanced Research, 2022, 41, 13-22. https://doi.org/10.1016/j.jare.2022.02.007

• 魏海涛, 刘岩, 田智慧, 王晓蕾, 郝晓慧, 韦 晶. 河南省肺癌空间分布格局及环境因素影响. 地理学报, 2022, 77(1): 245-258.

 

2021 (33)

• Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM_2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136 (ESI Hot and Highly Cited Paper, Journal Most Cited Articles since 2019, Top 100 Most Cited Chinese Papers Published in International Journals, ESSIC 2022 Best Paper Award)

• Wei, J.*, Li, Z., Xue, W., Sun, L., Fan, T., Liu, L., Su, T., and Cribb, M. The ChinaHighPM₁₀ dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China. Environment International, 2021, 146, 106290. https://doi.org/10.1016/j.envint.2020.106290 (ESI Highly Cited Paper)

• Wei, J.*, Li, Z., Pinker, R., Wang, J., Sun, L., Xue, W., Li, R., and Cribb, M. Himawari-8-derived diurnal variations of ground-level PM_2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM). Atmospheric Chemistry and Physics, 2021, 21, 7863–7880. https://doi.org/10.5194/acp-21-7863-2021 (ESI Highly Cited Paper)

• Guo, H., Wei, J., Li, X., Ho, C., Song, Y., Wu, J., and Li, W. Do socioeconomic factors modify the effects of PM1 and SO2 on lung cancer incidence in China? Science of the Total Environment, 2021, 756, 143998. https://doi.org/10.1016/j.scitotenv.2020.143998

• Guo, H., Liu, J., and Wei, J. Ambient ozone, PM₁ and female lung cancer incidence in 436 Chinese counties. International Journal of Environmental Research and Public Health, 2021, 18(19), 10386. https://doi.org/10.3390/ijerph181910386

• Guo, H., Li, X., Li, W., Wu, J., and Wei, J.* Climatic modification effects on the association between PM1 and lung cancer incidence in China. BMC Public Health, 2021, 21, 880. https://doi.org/10.1186/s12889-021-10912-8

• He, L., Wang, L., Li, Z., Jiang, D., Sun, L., Liu, D., Liu, L., Yao, R., Zhou, Z., and Wei, J.* VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China. Atmospheric Environment, 2021, 250, 118265. https://doi.org/10.1016/j.atmosenv.2021.118265

• Li, R., Sun, L., Yu, H., Wei, J., and Tian, X. An improved DDV algorithm for the retrieval of aerosol optical depth from NOAA/AVHRR data. Journal of the Indian Society of Remote Sensing, 2021, 49, 1141–1152. https://doi.org/10.1007/s12524-020-01301-6

• Liu, L., Song, F., Fang, J., Wei, J., Ho, H., Song, Y., Zhang, Y., Wang, L., Yang, Z., Hu, C., and Zhang, Y. Intraday effects of ambient PM₁ on emergency department visits in Guangzhou, China: a case-crossover study. Science of the Total Environment, 2021, 750, 142347. https://doi.org/10.1016/j.scitotenv.2020.142347 (ESI Highly Cited Paper)

• Liu, M., Tang, W., Zhang, Y., Wang, Y., kangzhuo, B., Li, Y., Liu, X., Xu, S., Ao, L., Wang, Q., Wei, J., Chen, G., Li, S., Guo, Y., Yang, S., Han, D., and Zhao, X. Urban-rural differences in the association between long-term exposure to ambient air pollution and obesity in China. Environmental Research, 2021, 201, 111597. https://doi.org/10.1016/j.envres.2021.111597

• Lu, D., Mao, W., Zheng, L., Xiao, W., Zhang, L., and Wei, J.* Ambient PM_2.5 estimates and variations during COVID-19 pandemic in the Yangtze River Delta using machine learning and big data. Remote Sensing, 2021, 13(8), 1423. https://doi.org/10.3390/rs13081423

• Niu, L., Zhang, Z., Peng, Z., Liang, Y., Liu, M., Jiang, Y., Wei, J., and Tang, R. Identifying surface urban heat island drivers and their spatial heterogeneity in China’s 281 Cities: An empirical study based on multiscale geographically weighted regression. Remote Sensing, 2021, 13, 4428. https://doi.org/10.3390/rs13214428

• Qin, W., Fang, H., Wang, L., Wei, J., Zhang, M., Su, X., Bilal, M., and Liang, X. MODIS high-resolution MAIAC aerosol product: Global validation and analysis. Atmospheric Environment, 2021, 264, 118684. https://doi.org/10.1016/j.atmosenv.2021.118684

• Shi, H., Zhang, J., Zhao, B., Xia, X., Hu, B., Li, X., Wei, J., Liu, M., Bian, Y., Fu, D., Gu, Y., and Liou, K. Surface brightening in eastern and central China since the implementation of the Clean Air Action in 2013: causes and implications. Geophysical Research Letters, 2021, 48(3), e2020GL091105. https://doi.org/10.1029/2020GL091105

• Sun, Z., Wei, J.^#, Zhang, N., He, Y., Sun, Y., Liu, X., Yu, H., and Sun, L. Retrieving high-resolution aerosol optical depth from GF-4 PMS imagery in Eastern China. Remote Sensing, 2021, 13, 3752. https://doi.org/10.3390/rs13183752

• Tian, X., Liu, Q., Gao, Z., Wang, Y., Li, X., and Wei, J.* Improving MODIS aerosol estimates over land with the surface BRDF reflectances using the 3-D discrete cosine transform and RossThick-LiSparse models. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(12), 9851-9860. https://doi.org/10.1109/TGRS.2020.3048109

• Wang, C., Wang, Y., Shi, Z., Sun, J., Gong, K., Li, J., Qin, M., Wei, J., Li, T., Kan, H., and Hu, J. Effects of using different exposure data to estimate changes in premature mortality attributable to PM_2.5 and O₃ in China. Environmental Pollution, 2021, 285, 117242. https://doi.org/10.1016/j.envpol.2021.117242

• Wang, L., Chen, G., Pan, Y., Xia, J., Chen, L., Zhang, X., Silang, Y., Chen, J., Xu, H., Zeng, C., Wei, J., Li, S., Guo, Y., Yang, S., Hong, F., and Zhao, X. Association of long-term exposure to ambient air pollutants with blood lipids in Chinese adults: The China Multi-Ethnic Cohort Study. Environmental Research, 2021, 197, 111174. https://doi.org/10.1016/j.envres.2021.111174

• Wang, X., Xu, Z., Ho, H., Song, Y., Zheng, H., Hossain, M., Khan, M., Bogale, D., Wei, J.*, and Cheng, J. Ambient particular matters (PM₁, PM_2.5, PM₁₀) and childhood pneumonia: the smaller particle, the greater short-term impact? Science of the Total Environment, 2021, 772, 145509. https://doi.org/10.1016/j.scitotenv.2021.145509

• Wu, J., Guo, B., Guan, H., Mi, F., Xu, J., Basang, Li, Y., Zuo, H., Wang, L., Feng, S., Wei, J., Cheng, G., Li, S., Wei, Y., Guo, Y., and Zhao, X. The association between long-term exposure to ambient air pollution and bone strength in China. Journal of Clinical Endocrinology & Metabolism, 2021, 106, e5097–e5108. https://doi.org/10.1210/clinem/dgab462

• Xian, T., Li, Z., and Wei, J. Changes in air pollution following the COVID-19 epidemic in Northern China: the role of meteorology. Frontiers in Environmental Science, 2021, 9, 654651. https://doi.org/10.3389/fenvs.2021.654651

• Xu, D., Yang, F., Yu, L., Zhou, Y., Li, H., Ma, K., Huang, J., Wei, J., Xu, Y., Zhang, C., and Cheng, J. Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data. Journal of Cleaner Production, 2021, 321, 128948. https://doi.org/10.1016/j.jclepro.2021.128948 (ESI Highly Cited Paper)

• Xu, H., Guo, B., Qian, W., Ciren, Z., Guo, W., Zeng, Q., Mao, D., Xiao, X., Wu, J., Wang, X., Wei, J., Chen, G., Li, S., Guo, Y., Meng, Q., and Zhao, X. Dietary pattern and long-term effects of particulate matter on blood pressure: a large cross-sectional study in Chinese adults. Hypertension, 2021, 78, 184–194. https://doi.org/10.1161/HYPERTENSIONAHA.121.17205 (Journal High Impact Paper)

• Xu, J., Zhou, J., Luo, P., Mao, D., Xu, W., Nima, Q., Cui, C., Yang, S., Ao, L., Wu, J., Wei, J., Chen, G., Li, S., Guo, Y., Zhang, J., Liu, Z., and Zhao, X. Associations of long-term exposure to ambient air pollution and physical activity with insomnia in Chinese adults. Science of the Total Environment, 2021, 772, 148197. https://doi.org/10.1016/j.scitotenv.2021.148197

• Xu, L., Peng, Y., Ram, K., Zhang, Y., Bao, M., and Wei, J. Investigation of the uncertainties of simulated optical properties of brown carbon at two Asian sites using a modified bulk aerosol optical scheme of the Community Atmospheric Model version 5.3 (CAM5.3). Journal of Geophysical Research Atmospheres, 2021, 126(15), e2020JD033942. https://doi.org/10.1029/2020JD033942

• Xue, W., Zhang, J., Zhong, C., Li, X., and Wei, J.* Spatiotemporal PM_2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region. Journal of Cleaner Production, 2021, 279, 123742. https://doi.org/10.1016/j.jclepro.2020.123742 (ESI Highly Cited Paper)

• Xue, W., Zhang, J., Ji, D., Che, Y., Lu, T., Deng, X., Li, X., Tian, Y., and Wei, J.* Aerosol-induced direct radiative forcing effects on terrestrial ecosystem carbon fluxes over China. Environmental Research, 2021, 200, 111464. https://doi.org/10.1016/j.envres.2021.111464

• Xue, W., Wei, J.^#, Zhang, J., Sun, L., Che, Y., Yuan, M., and Hu, X. Inferring near-surface PM_2.5 concentrations from the VIIRS Deep Blue aerosol product in China: A spatiotemporally weighted random forest model. Remote Sensing, 2021, 13, 505. https://doi.org/10.3390/rs13030505

• Yan, X., Shi, A., Cao, J., Li, T., Sun, X., Zhang, R., Qiu, X., Li, Y., Liang, M., Lv, M., Liu, C., and Wei, J. The occurrence of heavy air pollution during the COVID-19 outbreak in Beijing, China: Roles of emission reduction, meteorological conditions, and regional transport. Sustainability, 2021, 13(21), 12312. https://doi.org/10.3390/su132112312

• Zhang, Y., Wei, J.^#, Shi, Y., Quan, C., Ho, H., Song, Y., and Zhang, L. Effects of early-life exposure to submicron particulate air pollution on asthma development in Chinese preschool children. Journal of Allergy and Clinical Immunology, 2021, 148, 771-782.E12. https://doi.org/10.1016/j.jaci.2021.02.030

• Zhang, Y., Zhang, L., Wei, J., Liu, L., Wang, Y., Liu, J., Zhou, P., Wang, L., Ding, Z., and Zhang, Y. Size-specific particulate matter and hospitalization for cardiovascular diseases: a case-crossover study in Shenzhen, China. Atmospheric Environment, 2021, 251, 118271. https://doi.org/10.1016/j.atmosenv.2021.118271

• Zheng, H., Yi, W., Ding, Z., Xu, Z., Ho, H., Cheng, J., Hossain, M., Song, J., Fan, Y., Ni, J., Wang, Q., Xu, Y., Wei, J.*, and Su, H. Evaluation of life expectancy loss associated with submicron and fine particulate matter (PM₁ and PM_2.5) air pollution in Nanjing, China. Environmental Science and Pollution Research, 2021, 28, 68134–68143. https://doi.org/10.1007/s11356-021-15244-z

• 钟雨桐, 韦 晶, 郑月明, 阎福礼. 基于静风期污染物的PM_2.5排放清单空间精细化方法. 地球信息科学学报, 2021, 23(11), 1971-1983.

 

2020 (22)

• Wei, J., Huang, W., Li, Z., Sun, L., Zhu, X., Yuan, Q., Liu, L., and Cribb, M. Cloud detection for Landsat imagery by combining the random forest and super-pixels extracted via energy-driven sampling segmentation approaches. Remote Sensing of Environment, 2020, 248, 112005. https://doi.org/10.1016/j.rse.2020.112005

• Wei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustin, A., Liu, L., Wu, H., and Song, Y. Improved 1 km resolution PM_2.5 estimates across China using enhanced space-time extremely randomized trees. Atmospheric Chemistry and Physics, 2020, 20(6), 3273–3289. https://doi.org/10.5194/acp-20-3273-2020 (ESI Hot and Highly Cited Paper)

• Wei, J.*, Li, Z., Sun, L., Peng, Y., Liu, L., He, L., Qin, W., and Cribb, M. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis. Atmospheric Environment, 2020, 240, 117768. https://doi.org/10.1016/j.atmosenv.2020.117768

• Han, W., Li, Z., Wu, F., Zhang, Y., Guo, J., Su, T., Cribb, M., Fan, J., Chen, T., Wei, J., and Lee, S. The mechanisms and seasonal differences of the impact of aerosols on daytime surface urban heat island effect. Atmospheric Chemistry and Physics, 2020, 20, 6479–6493. https://doi.org/10.5194/acp-20-6479-2020

• Han, W., Li, Z., Guo, J., Su, T., Chen, T., Wei, J., and Cribb, M. The urban-rural heterogeneity of air pollution in 35 metropolitan regions across China. Remote Sensing, 2020, 12(14), 2320. https://doi.org/10.3390/rs12142320

• He, L., Wang, L., Huang, B., Wei, J., Zhou, Z., and Zhong, Y. Anthropogenic and meteorological drivers of 1980–2016 trend in aerosol optical and radiative properties over the Yangtze River Basin. Atmospheric Environment, 2020, 223, 117188. https://doi.org/10.1016/j.atmosenv.2019.117188

• Jiang, Y., Chen, S., Hu, B., Zhou, Y., Liang, Z., Jiao, X., Huang, M., Wei, J., and Shi, Z. A comprehensive framework for assessing the impact of potential agricultural pollution on grain security and human health in economically developed areas. Environmental Pollution, 2020, 263, 114653. https://doi.org/10.1016/j.envpol.2020.114653

• Li, J., Kahn, R., Wei, J., Carlson, B., Lacis, A., Li, Z., Li, X., Dubovik, O., and Nakajima. Synergy of satellite- and ground-based aerosol optical depth measurements using an ensemble Kalman filter approach. Journal of Geophysical Research Atmospheres, 2020, 125(5), https://doi.org/10.1029/2019JD031884

• Liu, L., Zhang, X., Xu, W., Liu, X., Lu, X., Wei, J., Li, Y., Yang, Y., Wang, Z., and Wong, A. Reviewing global estimates of surface reactive nitrogen concentration and deposition using satellite retrievals. Atmospheric Chemistry and Physics, 2020, 20, 8641–8658. https://doi.org/10.5194/acp-20-8641-2020 (Journal Highlight)

• Liu, L., Zhang, X., Xu, W., Liu, X., Zhang, Y., Li, Y., Wei, J., Lu, X., Wang, S., Zhang, W., Zhao, L., Wang, Z., and Wu, X. Fall of oxidized while rise of reduced reactive nitrogen deposition in China. Journal of Cleaner Production, 2020, 272, 122875. https://doi.org/10.1016/j.jclepro.2020.122875

• Liu, L., Zhang, X, Xu., W., Liu, X., Li, Y., Wei, J., Wang, Z., and Lu, X. Ammonia volatilization as the major nitrogen loss pathway in dryland agroecosystems. Environmental Pollution, 2020, 265, 114862. https://doi.org/10.1016/j.envpol.2020.114862

• Liu, L., Zhang, X, Xu., W., Liu, X., Wei, J., Wang, Z., and Yang, Y. Global estimates of dry ammonia deposition inferred from space-measurements. Science of the Total Environment, 2020, 730, 139189. https://doi.org/10.1016/j.scitotenv.2020.139189

• Liu, L., Zhang, X, Xu., W., Liu, X., Li, Y., Wei, J., Gao, M., Bi, J., Lu, X., Wang, Z., and Wu, X. Challenges for global sustainable nitrogen management in agricultural systems. Journal of Agricultural and Food Chemistry, 2020, 68, 3354–3361. https://doi.org/10.1021/acs.jafc.0c00273

• Qin, W., Wang, L., Gueymard, C., Bilal, M., Lin, A., Wei, J., Zhang, M., Yang, X. Constructing a gridded direct normal irradiance dataset in China during 1981–2014. Renewable & Sustainable Energy Reviews, 2020, 131, 110004. https://doi.org/10.1016/j.rser.2020.110004

• Qin, W., Wang, L., Wei, J., Hu, B., and Liang, X. A novel efficient broadband model to derive daily surface solar Ultraviolet radiation (0.280-0.400 μm). Science of the Total Environment, 2020, 735, 139513. https://doi.org/10.1016/j.scitotenv.2020.139513

• Su, T., Laszlo, I., Li, Z., Wei, J., and Kalluri, S. Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: application to Himawari-8. Remote Sensing of Environment, 2020, 251, 112093. https://doi.org/10.1016/j.rse.2020.112093

• Su, T., Li, Z., Li, C., Li, J., Han, W., Shen, C., Tan, W., Wei, J., and Guo, J. The significant impact of aerosol vertical structure on lower- atmosphere stability and its critical role in aerosol-planetary boundary layer (PBL) interactions. Atmospheric Chemistry and Physics, 2020, 20(6), 3713–3724. https://doi.org/10.5194/acp-20-3713-2020

• Sun, L., Yang, X., Jia, S., Jia, C., Wang, Q., Liu, X., Wei, J., and Zhou, X. Satellite data cloud detection using deep learning supported by hyperspectral data. International Journal of Remote Sensing, 2020, 41(4),1349–1371. https://doi.org/10.1080/01431161.2019.1667548

• Wu, H., Li, Z., Li, H., Luo, K., Wang, Y., Yan, P., Hu, F., Zhang, F., Sun, Y., Shang, D., Liang, C., Zhang, D., Wei, J., Wu, T., Jin, X., Cribb, M., Fischer, M., Kulmala, M., and Petäjä, T. The impact of the atmospheric turbulence development tendency on new particle formation: a common phenomenon on three continents. National Science Review, 2020, nwaa157. https://doi.org/10.1093/nsr/nwaa157

• Xue, W., Zhang, J., Qiao, Y., Wei, J., Lu, T., Che, Y., and Tian, L. Spatiotemporal variations and relationships of aerosol-radiation-ecosystem productivity over China during 2001-2014. Science of the Total Environment, 2020, 741, 140324. https://doi.org/10.1016/j.scitotenv.2020.140324

• Yao, R., Wang, L., Wang, S., Wang, L., Wei, J., Li, J., and Yu, D. A detailed comparison of MYD11 and MYD21 land surface temperature products in mainland China. International Journal of Digital Earth, 2020, 231, 1-17. https://doi.org/10.1080/17538947.2019.1711211

• Zhang, W., Liu, H., Wu, W., Zhan, L., and Wei, J. Mapping rice paddy based on machine learning with Sentinel-2 multi-temporal data: model comparison and transferability. Remote Sensing, 2020, 12, 1620. https://doi.org/10.3390/rs12101620

 

2019 (17)

• Wei, J., Huang, W., Li, Z., Xue, W., Peng, Y., Sun, L., and Cribb, M. Estimating 1-km-resolution PM_2.5 concentrations across China using the space-time random forest approach. Remote Sensing of Environment, 2019, 231, 111221. https://doi.org/10.1016/j.rse.2019.111221 (ESI Hot and Highly Cited Paper, Journal Most Cited Articles since 2018)

• Wei, J., Li, Z., Guo, J., Sun, L., Huang, W., Xue, W., Fan, T., and Cribb, M. Satellite-derived 1-km-resolution PM₁ concentrations from 2014 to 2018 across China. Environmental Science & Technology, 2019, 53(22), 13265–13274. https://doi.org/10.1021/acs.est.9b03258 (ESI Hot and Highly Cited Paper)

• Wei, J., Peng, Y., Mahmood, R., Sun, L., and Guo, J. Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products. Atmospheric Chemistry and Physics, 2019, 19, 7183–7207. https://doi.org/10.5194/acp-19-7183-2019 (ESI Highly Cited Paper, Cited By IPCC AR6)

• Wei, J., Li, Z., Peng, Y., and Sun, L. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison. Atmospheric Environment, 2019, 201, 428–440. https://doi.org/10.1016/j.atmosenv.2018.12.004 (ESI Hot and Highly Cited Paper, Journal Most Cited Articles since 2018)

• Wei, J., Li, Z., Peng, Y., Sun, L., and Yan, X. A regionally robust high-spatial-resolution aerosol retrieval algorithm for MODIS images over Eastern China. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(7), 4748–4757. https://doi.org/10.1109/TGRS.2019.2892813

• Wei, J., Li, Z., Sun, L., Yang, Y., Zhao, C., and Cai, Z. Enhanced aerosol estimations from Suomi-NPP VIIRS images over heterogeneous surfaces. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(12), 9534–9543. https://doi.org/10.1109/TGRS.2019.2927432

• Wei, J., Li, Z., Sun, L., Peng, Y., Zhang, Z., Li, Z., Su, T., Feng, L., Cai, Z., and Wu, H. Evaluation and uncertainty estimate of the next-generation geostationary meteorological Himawari-8/AHI aerosol products. Science of the Total Environment, 2019, 692, 879–891. https://doi.org/10.1016/j.scitotenv.2019.07.326

• Wei, J., Li, Z., Sun, L., Peng, Y., and Wang, L. Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products. Atmospheric Environment, 2019, 202, 315–327. https://doi.org/10.1016/j.atmosenv.2019.01.016

• Wei, J., Peng, Y., Guo, J., and Sun, L. Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land. Atmospheric Environment, 2019, 206, 30–44. https://doi.org/10.1016/j.atmosenv.2019.03.001

• Liu, L., Zhang, X., Wong, A., Xu, W., Liu, X., Li, Y., Mi, H., Lu, X., Zhao, L., Wang, Z., Wu, X., and Wei, J. Estimating global surface ammonia concentrations inferred from satellite retrievals. Atmospheric Chemistry and Physics, 2019, 19, 12051–12066. https://doi.org/10.5194/acp-19-12051-2019

• Song, Y., Huang, B., He, Q., Chen, B., Wei, J., and Mahmood, R. Dynamic assessment of PM_2.5 exposure and health risk using remote sensing and geo-spatial big data. Environmental Pollution, 2019, 253, 288–296. https://doi.org/10.1016/j.envpol.2019.06.057

• Wang, L., Lu, Y., Zou, L., Fang, L., Wei, J., Qin, W., and Niu, Z. Prediction of diffuse solar radiation based on multiple variables in China. Renewable & Sustainable Energy Reviews, 2019, 103, 151–216. http://dx.doi.org/10.1016/j.rser.2018.12.029

• Yang, Y., Zhao, C., Sun, L., and Wei, J. Improved aerosol retrievals over complex regions using NPP Visible Infrared Imaging Radiometer Suite observations. Earth and Space Science, 2019, 6, 629–645. https://doi.org/10.1029/2019EA000574

• Zhang, Z., Wu, W., Fan, M., Tao, M., Wei, J., Jin, J, Tan, Y., and Wang, Q. Validation of Himawari-8 Aerosol Optical Depth Retrievals over China. Atmospheric Environment, 2019, 199, 32–44. https://doi.org/10.1016/j.atmosenv.2018.11.024

• Zhang, Z., Fan, M., Wu, W., Wang, Z., Tao, M., Wei, J., and Wang, Q. A Simplified Aerosol Retrieval Algorithm for Himawari-8 Advanced Himawari Imager over Beijing. Atmospheric Environment, 2019, 199, 127–135. https://doi.org/10.1016/j.atmosenv.2018.11.023

• Zhang, Z., Wu, W., Fan, M., Wei, J., Tan, Y., and Wang, Q. Evaluation of MAIAC aerosol retrievals over China. Atmospheric Environment, 2019, 202, 8–16. https://doi.org/10.1016/j.atmosenv.2019.01.013

• 迟雨蕾, 孙 林, 韦 晶. Suomi NPP卫星可见光红外成像辐射仪的改进动态阈值云检测算法. 光学学报, 2019, 39(5), 360–370.

 

2018 (9)

• Wei, J., Sun, L., Peng, Y., Wang, L., Zhang, Z., Bilal, M., and Ma, Y. An improved high-spatial-resolution aerosol retrieval algorithm for MODIS images over land. Journal of Geophysical Research Atmospheres, 2018, 123(21), 12291–12307. https://doi.org/10.1029/2017JD027795 (Journal Highlight)

• Wei, J.*, Sun, L., Huang, B., Bilal, M., Zhang, Z., and Wang, L. Verification, improvement and application of aerosol optical depths in China. Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, 2018, 175, 221–233. https://doi.org/10.1016/j.atmosenv.2017.11.048 (ESI Highly Cited Paper)

• Bilal, M., Nazeer, M., Qiu, Z., Ding, X., and Wei, J. Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, 2018, 10(3), 475. https://doi.org/10.3390/rs10030475

• He, L., Wang, L., Lin, A., Zhang, M., Bilal, M., and Wei, J. Performance of the NPP-VIIRS and Aqua-MODIS aerosol optical depth products over the Yangtze river basin. Remote Sensing, 2018, 10(1), 117. https://doi.org/10.3390/rs10010117 (ESI Highly Cited Paper)

• Sun, L., Wang, Q., Zhou, X., Wei, J., Yang, X, Zhang, W., and Ma, N. A priori surface reflectance-based cloud shadow detection algorithm for Landsat 8 OLI. IEEE Geoscience and Remote Sensing Letters, 2018, 15(10), 1610–1614. https://doi.org/10.1109/LGRS.2018.2847297

• Sun, L., Zhou, X., Wei, J., Wang, Q., Liu, X., Shu, M., Chen, T., and Chi, Y. A New Cloud Detection Method Supported By GlobeLand30 Data set. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(10), 3628–3645. https://doi.org/10.1109/JSTARS.2018.2861755

• Tian, X., Liu, Q., Li, X., and Wei, J. Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China. Remote Sensing, 2018, 10(12), 2021. https://doi.org/10.3390/rs10122021

• 杨东旭, 韦 晶*, 钟永德. 利用MODIS卫星资料反演北京地区气溶胶光学厚度. 光谱学与光谱分析, 2018, 38(11), 3464–3469.

• 王 权, 孙 林, 韦 晶, 等. 动态阈值云检测算法改进及在高分辨率卫星上的应用. 光学学报, 2018, 38(10), 368–377.

 

2017 (9)

• Wei, J., Huang, B., Sun, L., Zhang, Z., Wang, L., and Bilal, M. A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces. Journal of Geophysical Research Atmospheres, 2017, 122(24), 13338–13355. https://doi.org/10.1002/2017JD026922

• Wei, J., and Sun, L. Comparison and evaluation of different MODIS aerosol optical depth products over Beijing-Tianjin-Hebei region in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(3), 835–844. https://doi.org/10.1109/JSTARS.2016.2595624

• Wei, J.*, Ming, Y., Jia, Q., and Yang, D. Simple mineral mapping algorithm based on multi-type spectral diagnostic absorption features: a case study at Cuprite, Nevada. Journal of Applied Remote Sensing, 2017, 11(2). https://doi.org/10.1117/1.JRS.11.026015

• Sun, L., Mi, X., Wei, J., Wang, J., Tian, X., Yu, H., and Gan, P. A cloud detection algorithm-generating method for remote sensing data at visible to short-wave infrared wavelengths. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 124, 70–88. https://doi.org/10.1016/j.isprsjprs.2016.12.005

• Sun, L., Li R., Tian, X., and Wei, J. Analysis of the temporal and spatial variation of aerosols in the Beijing-Tianjin-Hebei region with a 1 km AOD product. Aerosol and Air Quality Research, 2017, 17(3), 923–935. https://doi.org/10.4209/aaqr.2016.05.0185

• Wang, Q., Sun, L., Wei, J., Yang, Y., Li, R., Liu, Q., and Chen, L. Validation and accuracy analysis of global MODIS aerosol products over land. Atmosphere, 2017, 8(8), 155. https://doi.org/10.3390/atmos8080155

• Yang, Y., Sun, L., Zhu, J., Wei, J., Su, Q., Sun, W., Liu, F., and Shu, M. A simplified Suomi NPP VIIRS dust detection algorithm. Journal of Atmospheric and Solar-Terrestrial Physics, 2017, 164, 314–323. https://doi.org/10.1016/j.jastp.2017.08.010

• Zhang, Z., Wu, W., Wei, J., Song Y., Yan, X., Zhu, L., and Wang, Q. Aerosol optical depth retrieval from visibility in China during 1973–2014. Atmospheric Environment, 2017, 171, 38–48.https://doi.org/10.1016/j.atmosenv.2017.09.004

• 贾 臣, 孙 林, 陈允芳, 吕喆鹏, 韦 晶, 等. 查找表方法确定气溶胶类型. 遥感学报, 2017, 21(3), 386–395.

 

2016 (9)

• Sun, L., Wei, J.*, Wang, J., Mi, X., Guo, Y., Lv, Y., Yang, Y., Gan, P., Zhou, X., Jia, C., and Tian, X. A universal dynamic threshold cloud detection algorithm (UDTCDA) supported by a prior surface reflectance database. Journal of Geophysical Research Atmospheres, 2016, 121(12), 7172–7196. https://doi.org/10.1002/2015JD024722

• Sun, L., Wei, J.*, Bilal, M., Tian, X., Jia, C., Guo, Y., and Mi, X. Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images. Remote Sensing, 2016, 8(1), 23. https://doi.org/10.3390/rs8010023

• Sun, L., Wei, J.*, Duan, D., Guo, Y., Yang, D., Jia, C., and Mi, X. Impact of land-use and land-cover change on urban air quality in representative cities of China. Journal of Atmospheric and Solar-Terrestrial Physics, 2016, 142, 43–54. https://doi.org/10.1016/j.jastp.2016.02.022

• Zhou X., Sun L., Wei, J., Jia, S., Tian, X., and Wu, T. Analysis of thermal field distribution in winter over Beijing from 1985 to 2015 using Landsat thermal data. Spectroscopy and Spectral Analysis, 2016, 36(11), 3772–3779. https://doi.org/10.3964/j.issn.1000-0593(2016)11-3772-08

• 李秀瑞, 孙 林, 朱金山, 韦 晶. 多尺度遥感数据协同的干旱地区植被覆盖度提取. 生态学杂志, 2016, 35(5), 1394–1402.

• 米雪婷, 孙 林, 韦 晶, 田信鹏. 基于多时相遥感数据的云阴影检测算法. 山东科技大学学报(自然科学版), 2016, 2, 64–72.

• 谢秋霞, 孙 林, 韦 晶*, 李秀瑞. 基于遥感估算方法的干旱区植被覆盖度适应性评价. 生态学杂志, 2016, 35(4), 1117–1124.

• 杨以坤, 孙 林, 韦 晶, 田信鹏, 贾 臣.MODIS C5、C6气溶胶产品验证及区域适应性评价. 山东科技大学学报(自然科学版), 2016, 5, 17–27.

• 张天龙, 韦 晶*, 甘敬民, 朱倩倩, 杨东旭. 利用MODIS近红外数据反演大气水汽含量研究. 光谱学与光谱分析, 2016, 36(8), 2378–2383.

 

Before 2016 (10)

• 韦 晶, 明艳芳, 韩留生, 任仲亮, 郭亚敏. 基于多类型光谱特征参数匹配的矿物信息遥感识别方法. 光谱学与光谱分析, 2015, 35(10), 2862–2866.

• 韦 晶, 明艳芳, 刘福江. 基于光谱特征参数组合的高光谱数据矿物填图方法. 地球科学—中国地质大学学报, 2015, 40(8), 1432–1440.

• 韦 晶, 孙 林, 刘双双, 等. 大气颗粒物污染对土地覆盖变化的响应. 生态学报, 2015, 35(16), 5495–5506.

• 韦 晶, 郭亚敏, 孙 林, 等. 三江源地区生态环境脆弱性评价. 生态学杂志, 2015, 34(7), 1968–1975.

• 韦 晶, 王 萍, 郭亚敏. 基于GIS空间建模的银行网点选址——以山东省青岛市黄岛区为例. 资源开发与市场, 2013, 6, 563–566.

• 韦 晶, 王 萍, 郭亚敏, 许 娅. 基于GIS与RS的生态环境质量监测与评价方法探讨——以山东半岛蓝色经济区为例. 资源开发与市场, 2013, 10, 1020–1024+1093+1122.

• 韦 晶, 朱金山, 孙 林, 郭亚敏. 光谱增强技术在高光谱数据岩性识别中的应用, 资源开发与市场, 2013, 11, 1123–1126+1188+1120.

• 马 芮, 孙 林, 袁广辉, 韦 晶. 可见光红外成像辐射仪数据林火识别算法研究. 遥感信息, 2015, 4, 37–42+48.

• 孙 林, 田信鹏, 于会泳, 韦 晶, 麻盛芳, 王 健, 孙长奎. Landsat 8 OLI城市地区气溶胶光学厚度遥感反演. 山东科技大学学报(自然科学版), 2015, 5, 47–55.

• 赵文智, 雒立群, 郭 舟, 岳 俊, 于雪滢, 刘 晖, 韦 晶. 光谱特征分析的城市道路提取, 光谱学与光谱分析, 2015, 35(10), 2814–2819.

 

Book Chapters (2)

• Wei, J., and Sun, L. Cloud Detection and Aerosol Optical Depth Retrieval from MODIS Satellite Imagery, in 3S Technology Applications in Meteorology: Observations, Methods and Modelling, Taylor & Francis Group/CRC Press, Boca Raton, FL, USA, ISBN: 9781032425139, 2023.

• 明艳芳, 陈 影, 韦 晶, 周 红. 高光谱特征参数协同的矿物类型遥感识别方法. 中国矿业大学出版社, ISBN: 978756464658540(8), 2020.

 

Dissertation Thesis

• Wei, J. Satellite remote sensing retrievals of atmospheric aerosol optical depth and near-surface fine particulate matter, Ph.D. dissertation, Beijing Normal University, Beijing, China, 2020.

• Wei, J. High-resolution aerosol optical depth retrieval over land. Master's thesis, Shandong University of Science and Technology, Qingdao, China, 2017.