Publications

 

Full List of Publications

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

Particulate Matter (PM) and Chemical Composition (13)

• 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) (ESI Hot and Highly Cited Paper, ESSIC 2024 Best Paper Award)

• 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.) (ESI Highly Cited Paper)

• 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., 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.*, 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, ES&T 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., 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., 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)

• 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

• 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

• 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)

• 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

 

Gaseous Air Pollutants and Greenhouse Gases (10)

• Wei, J.*, Li, Z., Yang, Z., Li, C., Cheng, F., Wang, J., Yang, K., Tong, D., Anenberg, S., Kerr, G., Boersma, F., Qin, K., Liu, S., Sun, L., Gong, J., Guo, Y., and Zhu, T. Widespread acute exposure and health impacts of nitrogen dioxide revealed by global daily surface data. Nature Geoscience, 2026, Accepted in Principle. https://doi.org/10.21203/rs.3.rs-8346485/v1

• 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., 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)

• 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

• Cheng, F., Wei, J.*, Weng, F., Zhou, S., Yang, Z., Cheng, Y., Gao, J., Qiu, X., and Zhu, T. iTransformer-informed hourly surface ozone forecasting using geostationary satellite observations. Geophysical Research Letters, 2026, 53, e2026GL123448. https://doi.org/10.1029/2026GL123448

• Qu, Y., Shi, X., Fan, Y., Wang, Z., and Wei, J.* Reconstructing two-decade daily high-resolution seamless global land XCO₂ records using a hybrid Transformer–BiLSTM model. Earth System Science Data, 2026, 18, 4279–4301. https://doi.org/10.5194/essd-18-4279-2026

• Qu, Y., Wei, J.^#, Xing, H., Shi, X., Ao, Z., and Meng, X. Global estimates of daily gapless atmospheric XCH₄ concentrations from satellite and reanalysis data during 2003–2020. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63, 4109012. https://doi.org/10.1109/TGRS.2025.3593486

• 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

• 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, 2025, 317, 114459. https://doi.org/10.1016/j.rse.2024.114459 (ESI Hot and Highly Cited Paper)

 

Atmospheric Composition: Algorithms, Evaluation, and Applications (21)

Aerosol Retrieval Algorithm Development:

• 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

• 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., 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., 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., 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

• Fan, Y., Li, Z., Sun, L., Dubovik, O., Wang, Z., Cheng, F., Shi, X., and Wei, J.* AeroTrans: Hourly AOD retrieval over land from MSG-1/SEVIRI imagery integrating Transformer and transfer learning. Remote Sensing of Environment, 2026, 335, 115268. https://doi.org/10.1016/j.rse.2026.115268

• Fan, Y., Sun, L., Wang, Z., Pang, S., and Wei, J.* Unveiling diurnal aerosol layer height variability from space using deep learning. ISPRS Journal of Photogrammetry and Remote Sensing, 2025, 229, 211-222. https://doi.org/10.1016/j.isprsjprs.2025.08.021

• 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, 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

Aerosol Product Evaluation and Improvement:

• 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.*, 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)

• 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

• 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

• 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

• 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

Retrieval of Other Atmospheric Properties:

• 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

 

Remote Sensing Image Classification, Detection, and Recognition (6)

• 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.*, 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

• Pang, S., Li, Z., Sun, L., Cao, B., Wang, Z., Xi, X., Shi, X., Xu, J., and Wei, J.* Enhancing cloud detection across multiple satellite sensors using a combined Swin Transformer and UPerNet deep learning model. Remote Sensing of Environment, 2026, 334, 115206. https://doi.org/10.1016/j.rse.2025.115206

• 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

• Shi, X, Fan, Y., Yang, K., Li, Z., Liu, X., Kim, J., Sun, L., Pang, S., Liu, C., and Wei, J.* A physics-guided feature selection machine learning approach for cloud probability retrieval and detection from TEMPO imagery. Journal of Geophysical Research: Atmospheres, 2026, 131, e2026JD046434. https://doi.org/10.1029/2026JD046434

• 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

 

Impacts of Air Pollution and Extreme Weather (62)

Environmental, Climatic, and Economic Impacts:

• 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

• 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

• 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

• Xu, X., Wang, P., Wang, Q., Zhang, Z., Ma, Z., Li, Y., Yang, X., Li, G., Gao, Y., Wei, J.*, and Bo, X. Policy effectiveness in improving air quality in China: Insights from the iron and steel industry. Environmental Science & Technology, 2026, 60(17), 12965-12977. https://doi.org/10.1021/acs.est.5c15488

• 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., 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)

• Yang, Z., Cheng, F., Gao, J., Liu, H., and Wei, J.* Satellite observations reveal heterogeneous atmospheric composition responses to rapid emission changes. Atmospheric Chemistry and Physics, 2026, 26, 7933–7947. https://doi.org/10.5194/acp-26-7933-2026

Public Health Impacts:

• Cai, H., Zhang, Y., Wei, J., Lawrence, W., Chen, S., Cheng, H., Tang, H., Chen, D., Wang, Y., Gu, J., Zhang, W., and Hao, Y. Potential causal associations of long-term exposure to PM_2.5 constituents and all-cause mortality: Evidence from the Pearl River Cohort study. Ecotoxicology and Environmental Safety, 2025, 291, 117897. https://doi.org/10.1016/j.ecoenv.2025.117897

• 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, 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., 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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, S., Li, X., Shu, L., Fu, T., Yang, X., Zhu, L., and Wei, J.* Anthropogenic nitrogen impacts on global PM_2.5–O₃ co-pollution health burde. Environment International, 2026, 213, 110343. https://doi.org/10.1016/j.envint.2026.110343

• Liu, T., Li, X., Wei, J.^#, Shu, L., Jin, J., Fu, T., Yang, X., and Zhu, L. The interactive and joint associations of ambient PM_2.5 and temperature on the onset of acute coronary syndrome: Findings from the Chinese Cardiovascular Association (CCA) database-chest pain center registry. Environmental Science & Technology, 2024, 58(50), 21978–21988. https://doi.org/10.1021/acs.est.4c07508

• 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

• 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

• 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

• 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, H, Cheng, S, Sun, D., Han, Y., Yu, C., Sun, D., Pei, P., Yang, L., Chen, Y., Du, H., Chen, L., Schmidt, D., Chen, J., Chen, Z., Li, L., Wei, J.*, and Lv, J. Between PM_2.5 components and cardiovascular diseases: A cohort study of 0.5 million Chinese adults. Journal of the American College of Cardiology, 2026, 88(9), 980–994. https://doi.org/10.1016/j.jacc.2026.04.040

• 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

• 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)

• 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

• 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, 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, 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, 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

• Wang, X., Zhang, L., Peng, X., Pan, R., Guo, M., Yin, X., Hu, H., Wei, J.*, Chen, J., and Zhu, P. Prenatal exposure to PM_2.5 specific constituents and child neurodevelopmental delay: The role of maternal metabolites and mediterranean diet. Ecotoxicology and Environmental Safety, 2026, 321, 120371. https://doi.org/10.1016/j.ecoenv.2026.120371

• 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

• 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., 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., 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

• 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, K., Fan, W., Wei, J.^#, Lu, J., Ma, X., Yuan, Z., Huang, Z., Zhang, Q., Huang, Y., Zou, F., and Wu, X. Effects of fine particulate matter and its chemical constituents on influenza-like illness in Guangzhou, China. Ecotoxicology and Environmental Safety, 2025, 290, 117540. https://doi.org/10.1016/j.ecoenv.2024.117540

• 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

• Wu, Y., Yang, J., Wei, J.^#, Cheng, B., Wang, Y., Li, C., Wang, P., Sun, H., and Huang, L. Extreme temperatures amplify air pollution risks to childhood respiratory health in school environment in Jiangsu province, China. Communications Earth & Environment, 2025, 6, 429. https://doi.org/10.1038/s43247-025-02409-8

• 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, R., Bi, Y., Jia, X., Zheng, Y., Feng, N., Wang, S., Luo, L., Lv, Z., Huang, S., Zheng, X., Sun, H., Chen, S., Wei, J.*, and Liu, Y. Global spatiotemporal variation and death burden of compound heatwave and ozone pollution events. Environmental Science & Technology, 2026, 60(11), 8404-8414. https://doi.org/10.1021/acs.est.5c17533

• 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)

• 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., 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

• 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

• 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, 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, 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.^#, Chen, S., Benmarhnia, T., Zhang, K., Wang, X., Deng, X., Gu, H., Lin, Z., Qu, Y., Xiao, J., Jiang, J., Du, Z., Zhang, W., and Hao, Y. Individual and mixed associations between fine particulate matter components and hospital admissions for hypertension: Insights from a large-scale South Chinese cohort study. Sustainable Cities and Society, 2025, 124, 106293. https://doi.org/10.1016/j.scs.2025.106293

• 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., 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, 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.^#, 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., 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

• 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

• 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

• 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

 

Selected Collaborative Studies (28)

• 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

• Chu, L., Wang, R., Gross, C., Wei, J., Lu, Y., Kruholz, H., Ma, X., and Chen, K. Joint exposure to ozone and temperature and acute myocardial infarction among adults aged 18 to 64 years in the United States. Circulation, 2025, 152, 1–11. https://doi.org/10.1161/CIRCULATIONAHA.124.0736

• Deng, W., Wang, J., Zhou, M., Chen, X., Wu, X., Zhang, H., Cohen, J., Wei, J., da Silva, A., Brasseur, G., Granier, C., and Rouil, L. Fires reverse progress toward ozone air quality standards in the United States. Science, 2026, 392, 1088-1092. https://doi.org/10.1126/science.aed3197

• 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

• 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)

• 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, H., Lei, J., Liu, Y., Zhu, T., Chan, K., Chen, X., Wei, J., Deng, F., Li, G., Jiang, Y., Bai, L., Wang, K., Chen, J., Lan, Y., Xia, X., Wang, J., Wei, C., Li, Y., Chen, R., Gong, J., Duan, X., Zhang, K., Kai, H., Shi, X., Guo, X., and Wu, S. Hospital admissions attributable to reduced air pollution due to clean-air policies in China. Nature Medicine, 2025. https://doi.org/10.1038/s41591-025-03515-y

• 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, 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, 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

• 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

• 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

• Qu, W., Hua, H., Yang, T., Zohner, C., Peñuelas, J., Wei, J., Yu, L., and Wu, C. Delayed leaf green-up is associated with fine particulate air pollution in China. Nature Communications, 2025, 16, 3406. https://doi.org/10.1038/s41467-025-58710-9

• 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

• 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

• Wang, J., Zhou, Y., Liu, L., Zohner, C., Wei, J., and Wu, C. Particulate air pollution undermines plant water-use efficiency by inhibiting photosynthesis. Nature Climate Change, 2026, 16, 1068–1074. https://doi.org/10.1038/s41558-026-02712-y

• 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

• Wang, Y., Yuan, Y., Mo, S., Wang, F., Wei, J., Yao, Y., Zeng, Y., and Zhang, Y. Individual and joint exposures to PM_2.5 constituents and mortality risk among the oldest-old in China. Science China Life Sciences, 2024, 67, 2692–2700. https://doi.org/10.1007/s11427-024-2718-9

• 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, 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., 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

• 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, 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

• 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)

• 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

• Zhou, Q., Wang, S., Bie, S., Cai, J., Chen, Y., Cheng, Y., Ding, X., Gu, J., Li, J., Li, W., Liu, D., Liu, J., Liu, Y., Shang, J., Tang, X., Tang, R., Tian, Y., Wang, J., Wang, S., Wei, J., Wei, Y., Xiang, Y., Yan, C., Zhang, F., Zhang, Z., Zhang, G., Zhang, Q., Zhang, Y., Zhong, G., and Zheng, M. A review of atmospheric black carbon research progress in China. Atmospheric Environment, 2026, 383, 122290. https://doi.org/10.1016/j.atmosenv.2026.122290

 

Chinese-Language Publications (26)

• 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.

• 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.

• 何利杰, 黄炉斌, 樊玉霞, 韦 晶, 何培培. 顾及溢出效应的城市生态空间对PM_2.5污染的影响. 遥感信息, 2024, 39(04), 87-96.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 王 蒙, 高丽娜, 颜 鹏, 荆俊山, 叶金印, 李学行, 韦 晶. 中国中东部区域本底站气溶胶质量浓度观测空间代表性评估. 气象学报, 2025, 83(02), 403-417.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.