| Improving AI system awareness of geoscience knowledge: Symbiotic integration of physical approaches and deep learning S Jiang, Y Zheng, D Solomatine Geophysical Research Letters 47 (13), e2020GL088229, 2020 | 155 | 2020 |
| Uncovering flooding mechanisms across the contiguous United States through interpretive deep learning on representative catchments S Jiang, Y Zheng, C Wang, V Babovic Water Resources Research 58 (1), e2021WR030185, 2022 | 99 | 2022 |
| Advancing opportunistic sensing in hydrology: A novel approach to measuring rainfall with ordinary surveillance cameras S Jiang, V Babovic, Y Zheng, J Xiong Water Resources Research 55 (4), 3004-3027, 2019 | 58 | 2019 |
| Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method H Cai, S Liu, H Shi, Z Zhou, S Jiang, V Babovic Journal of Hydrology 613, 128495, 2022 | 42 | 2022 |
| A computer vision-based approach to fusing spatiotemporal data for hydrological modeling S Jiang, Y Zheng, V Babovic, Y Tian, F Han Journal of hydrology 567, 25-40, 2018 | 38 | 2018 |
| River flooding mechanisms and their changes in Europe revealed by explainable machine learning S Jiang, E Bevacqua, J Zscheischler Hydrology and Earth System Sciences 26, 6339–6359, 2022 | 35 | 2022 |
| Joint operation of surface water and groundwater reservoirs to address water conflicts in arid regions: an integrated modeling study Y Tian, J Xiong, X He, X Pi, S Jiang, F Han, Y Zheng Water 10 (8), 1105, 2018 | 35 | 2018 |
| Predicting dynamic riverine nitrogen export in unmonitored watersheds: leveraging insights of AI from data-rich regions R Xiong, Y Zheng, N Chen, Q Tian, W Liu, F Han, S Jiang, M Lu, Y Zheng Environmental Science & Technology 56 (14), 10530-10542, 2022 | 25 | 2022 |
| Warming and greening exacerbate the propagation risk from meteorological to soil moisture drought Y Li, S Huang, H Wang, Q Huang, P Li, X Zheng, Z Wang, S Jiang, G Leng, ... Journal of Hydrology 622, 129716, 2023 | 11 | 2023 |
| Water-environmental risk assessment of the Beijing–Tianjin–Hebei collaborative development region in China S Leng, Y Zhai, S Jiang, Y Lei, J Wang Human and Ecological Risk Assessment: An International Journal 23 (1), 141-171, 2017 | 10 | 2017 |
| A HIVE model for regional integrated environmental risk assessment: A case study in China S Jiang, Y Zhai, S Leng, J Wang, Y Teng Human and Ecological Risk Assessment: An International Journal 22 (4), 1002-1028, 2016 | 10 | 2016 |
| Compounding effects in flood drivers challenge estimates of extreme river floods S Jiang, L Tarasova, G Yu, J Zscheischler Science Advances 10 (13), eadl4005, 2024 | 8* | 2024 |
| Securing drinking water supply in smart cities: an early warning system based on online sensor network and machine learning H Lu, A Ding, Y Zheng, J Jiang, J Zhang, Z Zhang, P Xu, X Zhao, F Quan, ... AQUA—Water Infrastructure, Ecosystems and Society 72 (5), 721-738, 2023 | 6 | 2023 |
| Interpreting Conv-LSTM for spatio-temporal soil moisture prediction in China F Huang, Y Zhang, Y Zhang, W Shangguan, Q Li, L Li, S Jiang Agriculture 13 (5), 971, 2023 | 6 | 2023 |
| Regional integrated environmental risk assessment in collaborative development of Beijing-Tianjin-Hebei SY Leng, SJ Jiang, J Pan, JS Wang, YZ Zhao Journal of Beijing Normal University (Natural Science) 53 (1), 60-69, 2017 | 6 | 2017 |
| Derivation of soil environmental criteria for groundwater protection: a comparative study between countries SJ Jiang, YZ Zhai, JS Wang, SY Leng, YG Teng Hydrogeology & Engineering Geology 43 (4), 52-59, 2016 | 5 | 2016 |
| Distributed hydrological modeling with physics‐encoded deep learning: A general framework and its application in the Amazon C Wang, S Jiang, Y Zheng, F Han, R Kumar, O Rakovec, S Li Water Resources Research 60 (4), e2023WR036170, 2024 | 4 | 2024 |
| Identifying drivers of river floods using causal inference P Miersch, S Jiang, O Rakovec, J Zscheischler EGU General Assembly Conference Abstracts, EGU-12948, 2023 | 3 | 2023 |
| How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences S Jiang, L Sweet, G Blougouras, A Brenning, W Li, M Reichstein, ... Earth's Future 12 (7), e2024EF004540, 2024 | 1 | 2024 |
| Applications of Explainable artificial intelligence in Earth system science F Huang, S Jiang, L Li, Y Zhang, Y Zhang, R Zhang, Q Li, D Li, ... arXiv preprint arXiv:2406.11882, 2024 | 1 | 2024 |
Yi ZhengSouthern University of Science and TechnologyEmail verificata su sustech.edu.cn