| Potential assessment of photovoltaic power generation in China T Qiu, L Wang, Y Lu, M Zhang, W Qin, S Wang, L Wang Renewable and Sustainable Energy Reviews 154, 111900, 2022 | 119 | 2022 |
| Comparison of deterministic and data-driven models for solar radiation estimation in China W Qin, L Wang, A Lin, M Zhang, X Xia, B Hu, Z Niu Renewable and Sustainable Energy Reviews 81, 579-594, 2018 | 95 | 2018 |
| Characteristic and driving factors of aerosol optical depth over mainland China during 1980–2017 W Qin, Y Liu, L Wang, A Lin, X Xia, H Che, M Bilal, M Zhang Remote Sensing 10 (7), 1064, 2018 | 94 | 2018 |
| Evaluation of the latest MODIS GPP products across multiple biomes using global eddy covariance flux data L Wang, H Zhu, A Lin, L Zou, W Qin, Q Du Remote Sensing 9 (5), 418, 2017 | 91 | 2017 |
| A high-precision aerosol retrieval algorithm (HiPARA) for advanced Himawari imager (AHI) data: Development and verification X Su, L Wang, M Zhang, W Qin, M Bilal Remote sensing of environment 253, 112221, 2021 | 72 | 2021 |
| Evaluation of sunshine-based models for predicting diffuse solar radiation in China L Feng, A Lin, L Wang, W Qin, W Gong Renewable and Sustainable Energy Reviews 94, 168-182, 2018 | 66 | 2018 |
| Prediction of diffuse solar radiation based on multiple variables in China L Wang, Y Lu, L Zou, L Feng, J Wei, W Qin, Z Niu Renewable and Sustainable Energy Reviews 103, 151-216, 2019 | 64 | 2019 |
| MODIS high-resolution MAIAC aerosol product: Global validation and analysis W Qin, H Fang, L Wang, J Wei, M Zhang, X Su, M Bilal, X Liang Atmospheric Environment 264, 118684, 2021 | 60 | 2021 |
| Improving the estimation of daily aerosol optical depth and aerosol radiative effect using an optimized artificial neural network W Qin, L Wang, A Lin, M Zhang, M Bilal Remote Sensing 10 (7), 1022, 2018 | 54 | 2018 |
| MODIS Collection 6.1 3 km resolution aerosol optical depth product: Global evaluation and uncertainty analysis J Wei, Z Li, L Sun, Y Peng, L Liu, L He, W Qin, M Cribb Atmospheric Environment 240, 117768, 2020 | 49 | 2020 |
| Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China W Qin, A Lin, J Fang, L Wang, M Li Natural hazards 89, 331-349, 2017 | 49 | 2017 |
| Ecotourism Suitability and Zoning from the Tourist Perspective: a Nature Reserve Case Study. W Wu, X Zhang, Z Yang, W Qin, F Wang, C Wang Polish Journal of Environmental Studies 24 (6), 2015 | 38 | 2015 |
| Clear-sky solar radiation changes over arid and semi-arid areas in China and their determining factors during 2001–2015 L Yu, M Zhang, L Wang, W Qin, Y Lu, J Li Atmospheric Environment 223, 117198, 2020 | 35 | 2020 |
| Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China Z Zhou, L Zhao, A Lin, W Qin, Y Lu, J Li, Y Zhong, L He Arabian Journal of Geosciences 13, 1-20, 2020 | 31 | 2020 |
| Trends in downward surface shortwave radiation from multi‐source data over China during 1984–2015 Z Zhou, A Lin, L Wang, W Qin, Y Zhong, L He International Journal of Climatology 40 (7), 3467-3485, 2020 | 31 | 2020 |
| Constructing a gridded direct normal irradiance dataset in China during 1981–2014 wenmin qin et al. Renewable and sustainable energy reviews, 2020 | 31 | 2020 |
| Climate change impact on photovoltaic power potential in China based on CMIP6 models J Niu, W Qin, L Wang, M Zhang, J Wu, Y Zhang Science of the Total Environment 858, 159776, 2023 | 27 | 2023 |
| First effort at constructing a high-density photosynthetically active radiation dataset during 1961–2014 in China W Qin, L Wang, M Zhang, Z Niu, M Luo, A Lin, B Hu Journal of Climate 32 (10), 2761-2780, 2019 | 27 | 2019 |
| Comparison of artificial intelligence and physical models for forecasting photosynthetically-active radiation L Feng, W Qin, L Wang, A Lin, M Zhang Remote Sensing 10 (11), 1855, 2018 | 26 | 2018 |
| Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L Feng, X Su, L Wang, T Jiang, M Zhang, J Wu, W Qin, Y Chen Science of the Total Environment 796, 148958, 2021 | 23 | 2021 |
