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Qin, W., Lunche Wang., Christian A. Gueymard., Muhammad Bilal., Aiwen Lin., Jing Wei., Ming Zhang., XuefangYang., 2020: Constructing a gridded direct normal irradiance dataset in China during 1981–2014. Renewable and Sustainable Energy Reviews. (中科院一区TOP, 实时IF = 14.48)
Qin, W., Wang, L., Lin, A., Zhang, M., Xia, X., Hu, B. and Niu, Z., 2018: Comparison of deterministic and data-driven models for solar radiation estimation in China. Renewable and Sustainable Energy Reviews, 81, 579-594. (中科院一区TOP, 实时IF = 14.48)
Qin, W., Wang L,. Zhang M,. et al. First effort for constructing a high density photosynthetically active radiation dataset during 1961-2014 in China. Journal of Climate, 2019 .(中科院一区TOP, IF = 5.707)
Qin, W., Wang L,. Jing Wei,. et al. A novel efficient broadband model to derive daily surface solar Ultraviolet radiation (0.280-0.400). Science of The Total Environment, 2020.(中科院一区TOP, IF = 6.551)
Qin, W., Liu, Y., Wang, L., Lin, A., Xia, X., Che, H., Bilal, M. and Zhang, M., 2018: Characteristic and driving factors of aerosol optical depth over mainland China during 1980–2017. Remote Sensing, 10, 1064. (中科院二区, IF = 4.509)
Qin, W., Wang, L., Lin, A., Zhang, M. and Bilal, M., 2018: Improving the estimation of daily aerosol optical depth and aerosol Radiative effect using an optimized artificial neural network. Remote Sensing, 10, 1022. (中科院二区, IF = 4.509)
Qin, W., Lin, A., Fang, J., Wang, L. and Li, M., 2017: Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China. Natural Hazards, 89, 331-349. (JCR二区，IF = 2.427)
Qin, W., Wang, L., Lin, A., Yang, C. and Zhu, H., 2018: Spatial-Temporal Evolution of the Distribution Pattern of Neolithic Sites in Han River Basin, China. ENVIRONMENTAL ARCHAEOLOGY, 1-13. (中科院三区，IF = 1.475,T3)
Yang, X., Qin, W*., Wang, L., Zhang, M., & Niu, Z. (2021). Long-term variations of surface solar radiation in China from routine meteorological observations. Atmospheric Research, 105715. (中科院二区, IF = 4.676)
Feng, L., Qin, W+., Wang, L., Lin, A. and Zhang, M., 2018: Comparison of Artificial Intelligence and Physical Models for Forecasting Photosynthetically-Active Radiation. Remote Sensing, 10, 1855. (中科院二区, IF = 4.509)
Fang, H., Qin, W*. et al. 2021: Solar Brightening/Dimming over China’s Mainland: Effects of Atmospheric Aerosols, Anthropogenic Emissions, and Meteorological Conditions.Remote Sensing. (中科院二区, IF = 4.509)
Su, X., Wang, L., Zhang, M., Qin, W., et,al. 2021. A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification.Remote Sensing of Environment. (中科院一区TOP, IF = 9.085)
Feng, L., Lin, A., Wang, L., Qin, W. and Gong, W., 2018: Evaluation of sunshine-based models for predicting diffuse solar radiation in China. Renewable and Sustainable Energy Reviews, 94, 168-182. (中科院一区TOP, 实时IF = 14.48, ESI高被引期刊)
Zhou, Z., Lin, A., Wang, L., Qin, W., Zhao, L., Sun, S., ... & Chen, F. (2021). Estimation of the losses in potential concentrated solar thermal power electricity production due to air pollution in China. Science of The Total Environment, 784, 147214. (中科院一区TOP, IF = 6.551)
Ziyan Wang, Ming Zhang, Lunche Wang, Wenmin Qin, Yingying Ma, Wei Gong, Lan Yu. Investigating the all-sky surface solar radiation and its influencing factors in the Yangtze River Basin in recent four decades. Atmospheric Environment 2020: 117888. (中科院二区TOP, IF =3.928)
Jing Wei, Zhanqing Li, ... Wenmin Qin, Maureen Cribb. MODIS collection 6.1 3 km resolution aerosol optical depth product: Global evaluation and uncertainty analysis. Atmospheric Environment 2020: 117768. (中科院二区TOP, IF =3.928)
Lan Yu, Ming Zhang, Lunche Wang*, Wenmin Qin, Junli Li. 2019. Aerosol radiative effects from observations and modeling over the Yangtze River Basin, China from 2001 to 2015. International Journal of Climatology (中科院二区, IF =3.928)
Wang, L., Lu, Y., Zou, L., Feng, L., Wei, J., Qin, W. and Niu, Z., 2019: Prediction of diffuse solar radiation based on multiple variables in China. Renewable and Sustainable Energy Reviews, 103, 151-216. (中科院一区TOP, 实时IF = 14.48)
Wang, L., Zhu, H., Lin, A., Ling, Z., Qin, W. and Du, Q., 2017: Evaluation of the latest MODIS GPP products across multiple biomes using global eddy covariance flux data. Remote Sensing, 9, 418.(中科院二区, IF = 4.509)
Chen, F., Zhou, Z., Lin, A., Niu, J., Qin, W. and Yang, Z., 2019: Evaluation of Direct Horizontal Irradiance in China Using a Physically-Based Model and Machine Learning Methods. Energies, 12, 150. (T2, IF = 2.702)
Lin, L., Lei, T., Zhu, H., Hang, Z., Fan, Y. and Qin, W., 2017: Semantic 3D Modeling Based on CityGML for Ancient Chinese-Style Architectural Roofs of Digital Heritage. Isprs Int J. Geo-Inf, 6, 132.
Niu, Z., Wang, L., Niu, Y., Hu, B., Zhang, M., & Qin, W. (2019). Spatiotemporal variations of photosynthetically active radiation and the influencing factors in China from 1961 to 2016. Theoretical and Applied Climatology, 137(3-4), 2049-2067. (中科院三区, IF = 2.882)
Zhang, W., Wang, L., Xiang, F., Qin, W., & Jiang, W. (2020). Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China. Ecological Indicators, 110, 105892. (中科院二区, IF = 4.229)
Zhou, Z., Lin, A., Wang, L., Qin, W., & He, L. Trends in downward surface shortwave radiation from Multi‐source data over China during 1984‐2015. International Journal of Climatology. (中科院二区, IF =3.928)
Lan Yu, Ming Zhang, Lunche Wang, Wenmin Qin, Yunbo Lu, Junli Li. Clear-sky solar radiation changes over arid and semi-arid areas in China and their determining factors during 2001–2015, Atmospheric Environment,2019,117198,ISSN 1352-2310. (中科院二区TOP, IF = 4.039)
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