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Qingqing HE
Qingqing HE
Associate Professor, Wuhan University of Technology
在 whut.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2952018
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
2692012
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
1802013
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
1392016
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
1362021
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
1362019
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
1222018
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
722017
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
602020
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
572019
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
522021
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
472021
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
322021
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
232019
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
172021
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
162018
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
142019
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
142013
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
132022
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
122023
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