| 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 | 62 | 2020 |
| 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 | 41 | 2019 |
| 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 | 30 | 2018 |
| 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 | 21 | 2018 |
| 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 | 16 | 2022 |
| 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 | 9 | 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 | 8 | 2016 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| Determination of the volume of soil requiring remediation in contaminated sites based on conditional simulation SJ Jiang, JS Wang, YZ Zhai, Z Yin, Y Teng Acta Scientiae Circumstantiae 36 (7), 2596-2604, 2016 | 1 | 2016 |
| Thirty years (1984–2014) of groundwater science teaching and research in China: A dissertation-based bibliometric survey Y ZHAI, S JIANG, Y TENG, J WANG, H GU, L XIE, Z YIN Journal of Groundwater Science and Engineering Vol 3 (3), 2015 | 1 | 2015 |
| Identifying drivers of river floods using causal inference P Miersch, S Jiang, O Rakovec, J Zscheischler EGU23, 2023 | | 2023 |
| Identifying Compound Effects of Hydrometeorological Drivers on River Flooding by Explainable Machine Learning S Jiang, J Zscheischler Fall Meeting 2022, 2022 | | 2022 |
| 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 | | 2022 |
| Exploring flooding mechanisms and their trends in Europe through explainable AI S Jiang, Y Zheng, J Zscheischler EGU General Assembly Conference Abstracts, EGU22-2248, 2022 | | 2022 |
| Re-purposing video data feeds for purposes of rainfall measurements. S Jiang, V Babovic, Y Zheng Geophysical Research Abstracts 21, 2019 | | 2019 |
| Hydrological Modeling in the Era of Big Data: A Computer Vision-Based Approach to Fusing Spatiotemporal Data S Jiang, Y Zheng AGU Fall Meeting Abstracts 2018, H14C-04, 2018 | | 2018 |
| A tiered approach to calculating soil remediation targets based on groundwater protection. SJ Jiang, YZ Zhai, JS Wang, YG Teng Research of Environmental Sciences 29 (2), 279-289, 2016 | | 2016 |
