| Loss of work productivity in a warming world: Differences between developed and developing countries S Yu, J Xia, Z Yan, A Zhang, Y Xia, D Guan, J Han, J Wang, L Chen, Y Liu Journal of Cleaner Production 208, 1219-1225, 2019 | 38 | 2019 |
| Trends in summer heatwaves in central Asia from 1917 to 2016: Association with large‐scale atmospheric circulation patterns S Yu, Z Yan, N Freychet, Z Li International Journal of Climatology, 2019 | 28 | 2019 |
| Changes in regional wet heatwave in Eurasia during summer (1979–2017) S Yu, SFB Tett, N Freychet, Z Yan Environmental Research Letters 16 (6), 064094, 2021 | 27 | 2021 |
| Reconstruction of the radar reflectivity of convective storms based on deep learning and Himawari-8 observations M Duan, J Xia, Z Yan, L Han, L Zhang, H Xia, S Yu Remote Sensing 13 (16), 3330, 2021 | 19 | 2021 |
| A transfer method to estimate hub-height wind speed from 10 meters wind speed based on machine learning S Yu, R Vautard Renewable and Sustainable Energy Reviews 169, 112897, 2022 | 15 | 2022 |
| Seasonal prediction of summer extreme precipitation over the Yangtze River based on random forest W Wei, Z Yan, X Tong, Z Han, M Ma, S Yu, J Xia Weather and Climate Extremes 37, 100477, 2022 | 14 | 2022 |
| Changing spring phenology dates in the Three-Rivers headwater region of the Tibetan Plateau during 1960–2013 S Yu, J Xia, Z Yan, K Yang Advances in Atmospheric Sciences 35, 116-126, 2018 | 12 | 2018 |
| Deep-learning post-processing of short-term station precipitation based on NWP forecasts Q Liu, X Lou, Z Yan, Y Qi, Y Jin, S Yu, X Yang, D Zhao, J Xia Atmospheric Research 295, 107032, 2023 | 7 | 2023 |
| UFNet: Joint U-Net and fully connected neural network to bias correct precipitation predictions from climate models S Yu, I Chakraborty, GJ Anderson, DD Lucas, Y Lops, D Galea Artificial Intelligence for the Earth Systems, 2024 | | 2024 |
| Joint U-Net and Fully Connected Neural Network for Bias Correcting Precipitation in Climate Simulations S Yu, GJ Anderson, I Chakraborty, D Lucas, Y Lops, D Galea AGU Fall Meeting Abstracts 2023 (1159), GC23H-1159, 2023 | | 2023 |
| Quantifying Uncertainties in Deep Learning Bias Correction of Climate Models Y Lops, GJ Anderson, I Chakraborty, D Lucas, D Galea, S Yu AGU Fall Meeting Abstracts 2023 (116), GC23H-116, 2023 | | 2023 |
