| Satellite-based mapping of daily high-resolution ground PM2. 5 in China via space-time regression modeling Q He, B Huang Remote Sensing of Environment 206, 72-83, 2018 | 295 | 2018 |
| Global urbanization research from 1991 to 2009: A systematic research review H Wang, Q He, X Liu, Y Zhuang, S Hong Landscape and urban planning 104 (3-4), 299-309, 2012 | 269 | 2012 |
| Global remote sensing research trends during 1991–2010: a bibliometric analysis Y Zhuang, X Liu, T Nguyen, Q He, S Hong Scientometrics 96, 203-219, 2013 | 180 | 2013 |
| Spatio-temporal variation and impact factors analysis of satellite-based aerosol optical depth over China from 2002 to 2015 Q He, M Zhang, B Huang Atmospheric Environment 129, 79-90, 2016 | 139 | 2016 |
| Observed inequality in urban greenspace exposure in China Y Song, B Chen, HC Ho, MP Kwan, D Liu, F Wang, J Wang, J Cai, X Li, ... Environment International 156, 106778, 2021 | 136 | 2021 |
| Dynamic assessment of PM2. 5 exposure and health risk using remote sensing and geo-spatial big data Y Song, B Huang, Q He, B Chen, J Wei, R Mahmood Environmental Pollution 253, 288-296, 2019 | 136 | 2019 |
| Satellite-based high-resolution PM2. 5 estimation over the Beijing-Tianjin-Hebei region of China using an improved geographically and temporally weighted regression model Q He, B Huang Environmental Pollution 236, 1027-1037, 2018 | 122 | 2018 |
| MODIS 3 km and 10 km aerosol optical depth for China: Evaluation and comparison Q He, M Zhang, B Huang, X Tong Atmospheric environment 153, 150-162, 2017 | 72 | 2017 |
| Spatiotemporal trends of PM2. 5 concentrations in central China from 2003 to 2018 based on MAIAC-derived high-resolution data Q He, Y Gu, M Zhang Environment international 137, 105536, 2020 | 60 | 2020 |
| Spatiotemporal patterns of aerosol optical depth throughout China from 2003 to 2016 Q He, Y Gu, M Zhang Science of the total environment 653, 23-35, 2019 | 57 | 2019 |
| Spatiotemporal assessment of PM2. 5 concentrations and exposure in China from 2013 to 2017 using satellite-derived data Q He, M Zhang, Y Song, B Huang Journal of cleaner production 286, 124965, 2021 | 52 | 2021 |
| Satellite-derived 1-km estimates and long-term trends of PM2. 5 concentrations in China from 2000 to 2018 Q He, K Gao, L Zhang, Y Song, M Zhang Environment international 156, 106726, 2021 | 47 | 2021 |
| Estimating PM2. 5 from multisource data: A comparison of different machine learning models in the Pearl River Delta of China H Tian, Y Zhao, M Luo, Q He, Y Han, Z Zeng Urban Climate 35, 100740, 2021 | 32 | 2021 |
| Temporal-spatial analysis of crop residue burning in China and its impact on aerosol pollution M Yu, X Yuan, Q He, Y Yu, K Cao, Y Yang, W Zhang Environmental pollution 245, 616-626, 2019 | 23 | 2019 |
| The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using … Q He, M Wang, SHL Yim Atmospheric Chemistry and Physics 21 (24), 18375-18391, 2021 | 17 | 2021 |
| Factor analysis for aerosol optical depth and its prediction from the perspective of land-use change W Zhang, Q He, H Wang, K Cao, S He Ecological indicators 93, 458-469, 2018 | 16 | 2018 |
| Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model Y Cui, L Jiang, W Zhang, H Bao, B Geng, Q He, L Zhang, DG Streets International Journal of Environmental Research and Public Health 16 (9), 1487, 2019 | 14 | 2019 |
| An unsupervised classifier for remote-sensing imagery based on improved cellular automata Q He, L Dai, W Zhang, H Wang, S Liu, S He International journal of remote sensing 34 (21), 7821-7837, 2013 | 14 | 2013 |
| What drives long-term PM2. 5-attributable premature mortality change? A case study in central China using high-resolution satellite data from 2003 to 2018 Q He, Y Gu, SHL Yim Environment International 161, 107110, 2022 | 13 | 2022 |
| Spatiotemporal high-resolution imputation modeling of aerosol optical depth for investigating its full-coverage variation in China from 2003 to 2020 Q He, W Wang, Y Song, M Zhang, B Huang Atmospheric Research 281, 106481, 2023 | 12 | 2023 |
Bo HuangThe University of Hong Kong, Chair Professor在 hku.hk 的电子邮件经过验证
