韦晶 · 学术论文

学术论文

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In Review (2)

Wei, J.*, Wang, Z., Li, Z., Li, Z., Pang, S., Xi, X., Cribb, M., and Sun, L. Global aerosol retrieval from Landsat imagery via the Google Earth Engine: integrating atmospheric radiative transfer and GeoChronoTransformers models. Remote Sensing of Environment, 2023, Major revision.
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, 2023, In review.

2024 (11)

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
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., 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, 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, 2024, 53, dyad119. https://doi.org/10.1093/ije/dyad119
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. https://doi.org/10.1021/acs.est.3c06889
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, 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

2023 (51)

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, Yahoo News, The Hill, U.S. News, et al.)

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)
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
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., 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, 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
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
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.

2022 (60)

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, Editor Invitation)
Wei, J.*, Li, Z., Sun, L., Xue, X., 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
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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
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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
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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, In press. 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
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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
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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
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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
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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.

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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
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., 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., 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., 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 2018/2019)
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., 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., 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.