| Short-term effects of ambient PM1 and PM2. 5 air pollution on hospital admission for respiratory diseases: case-crossover evidence from Shenzhen, China Y Zhang, Z Ding, Q Xiang, W Wang, L Huang, F Mao International journal of hygiene and environmental health 224, 113418, 2020 | 139 | 2020 |
| Deriving hourly PM2. 5 concentrations from himawari-8 aods over beijing–tianjin–hebei in China W Wang, F Mao, L Du, Z Pan, W Gong, S Fang Remote Sensing 9 (8), 858, 2017 | 113 | 2017 |
| Estimating hourly PM1 concentrations from Himawari-8 aerosol optical depth in China L Zang, F Mao, J Guo, W Gong, W Wang, Z Pan Environmental Pollution 241, 654-663, 2018 | 92 | 2018 |
| Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China N Liu, B Zou, H Feng, W Wang, Y Tang, Y Liang Atmospheric Chemistry and Physics 19 (12), 8243-8268, 2019 | 83 | 2019 |
| Ground-level PM2. 5 estimation over urban agglomerations in China with high spatiotemporal resolution based on Himawari-8 T Zhang, L Zang, Y Wan, W Wang, Y Zhang Science of the total environment 676, 535-544, 2019 | 68 | 2019 |
| Estimation of spatiotemporal PM1. 0 distributions in China by combining PM2. 5 observations with satellite aerosol optical depth L Zang, F Mao, J Guo, W Wang, Z Pan, H Shen, B Zhu, Z Wang Science of the Total Environment 658, 1256-1264, 2019 | 61 | 2019 |
| Characteristics of PM1. 0, PM2. 5, and PM10, and their relation to black carbon in Wuhan, Central China W Gong, T Zhang, Z Zhu, Y Ma, X Ma, W Wang Atmosphere 6 (9), 1377-1387, 2015 | 59 | 2015 |
| Ground Level PM2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO2 and … T Zhang, W Gong, W Wang, Y Ji, Z Zhu, Y Huang International journal of environmental research and public health 13 (12), 1215, 2016 | 51 | 2016 |
| Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan W Wang, F Mao, Z Pan, L Du, W Gong Remote Sensing 9 (5), 403, 2017 | 46 | 2017 |
| The warming of Tibetan Plateau enhanced by 3D variation of low-level clouds during daytime Z Pan, F Mao, W Gong, Q Min, W Wang Remote Sensing of Environment 198, 363-368, 2017 | 45 | 2017 |
| Evaluating aerosol optical depth from Himawari‐8 with sun photometer network W Wang, F Mao, Z Pan, W Gong, M Yoshida, B Zou, H Ma Journal of Geophysical Research: Atmospheres 124 (10), 5516-5538, 2019 | 44 | 2019 |
| Comparison of AOD from CALIPSO, MODIS, and sun photometer under different conditions over central China B Liu, Y Ma, W Gong, M Zhang, W Wang, Y Shi Scientific reports 8 (1), 10066, 2018 | 40 | 2018 |
| Two-stage model for estimating the spatiotemporal distribution of hourly PM1. 0 concentrations over central and east China W Wang, F Mao, B Zou, J Guo, L Wu, Z Pan, L Zang Science of the Total Environment 675, 658-666, 2019 | 39 | 2019 |
| Macrophysical and optical properties of clouds over East Asia measured by CALIPSO Z Pan, W Gong, F Mao, J Li, W Wang, C Li, Q Min Journal of Geophysical Research: Atmospheres 120 (22), 11,653-11,668, 2015 | 36 | 2015 |
| Improved PM2. 5 predictions of WRF-Chem via the integration of Himawari-8 satellite data and ground observations J Hong, F Mao, Q Min, Z Pan, W Wang, T Zhang, W Gong Environmental Pollution 263, 114451, 2020 | 34 | 2020 |
| Three-dimensional physical and optical characteristics of aerosols over central china from long-term calipso and hysplit data X Lu, F Mao, Z Pan, W Gong, W Wang, L Tian, S Fang Remote Sensing 10 (2), 314, 2018 | 31 | 2018 |
| Age-and season-specific effects of ambient particles (PM1, PM2. 5, and PM10) on daily emergency department visits among two Chinese metropolitan populations Y Zhang, J Fang, F Mao, Z Ding, Q Xiang, W Wang Chemosphere 246, 125723, 2020 | 30 | 2020 |
| Measurement and study of lidar ratio by using a raman lidar in central China W Wang, W Gong, F Mao, Z Pan, B Liu International journal of environmental research and public health 13 (5), 508, 2016 | 26 | 2016 |
| Space–Time Linear Mixed-Effects (STLME) model for mapping hourly fine particulate loadings in the Beijing–Tianjin–Hebei region, China W Wang, J He, Z Miao, L Du Journal of Cleaner Production 292, 125993, 2021 | 25 | 2021 |
| Evaluating the governing factors of variability in nocturnal boundary layer height based on elastic lidar in Wuhan W Wang, F Mao, W Gong, Z Pan, L Du International journal of environmental research and public health 13 (11), 1071, 2016 | 24 | 2016 |
