| Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation Y Xu, C Hu, Q Wu, S Jian, Z Li, Y Chen, G Zhang, Z Zhang, S Wang Journal of hydrology 608, 127553, 2022 | 235 | 2022 |
| Deep transfer learning based on transformer for flood forecasting in data-sparse basins Y Xu, K Lin, C Hu, S Wang, Q Wu, L Zhang, G Ran Journal of Hydrology 625, 129956, 2023 | 59 | 2023 |
| Application of temporal convolutional network for flood forecasting Y Xu, C Hu, Q Wu, Z Li, S Jian, Y Chen Hydrology Research 52 (6), 1455-1468, 2021 | 53 | 2021 |
| Identifying dominant component of runoff yield processes: a case study in a sub-basin of the middle Yellow River L Zhang, C Hu, S Jian, Q Wu, G Ran, Y Xu Hydrology Research 52 (5), 1033-1047, 2021 | 15 | 2021 |
| Integrated model and application of non-stationary runoff based on time series decomposition and machine learning L Zhang, H Wang, B GUO, Y XU, L LI, J XIE Advances in Water Science 34 (1), 42-52, 2023 | 13 | 2023 |
| Interpretable machine learning on large samples for supporting runoff estimation in ungauged basins Y Xu, K Lin, C Hu, S Wang, Q Wu, J Zhang, M Xiao, Y Luo Journal of Hydrology 639, 131598, 2024 | 9 | 2024 |
| Simulation of the flood process in the middle reaches of the Yellow River by a long-short term memory (LSTM) neuro network XU Yuanhao, WU Qiang, LI Changqing, C Youqian, Z Li, RAN Guang, ... Journal of Beijing Normal University (Natural Science) 56 (3), 387-393, 2020 | 9 | 2020 |
| Study on flood forecasting model of watershed-urban complex system considering the spatial distribution of runoff generation pattern C Liu, Y Sun, C Hu, C Zhao, Y XU, W LI Advances in Water Science 34 (4), 530-540, 2023 | 8 | 2023 |
| Research on runoff process vectorization and integration of deep learning algorithms for flood forecasting C Liu, W Li, C Hu, T Xie, Y Jiang, R Li, Y Xu Journal of Environmental Management 362, 121260, 2024 | 6 | 2024 |
| Machine learning-based flood forecasting models considering runoff process vectorization C LIU, T XIE, W LI, C HU, Y XU, C NIU, Q YU Advances in Water Science 35 (3), 420-429, 2024 | 1 | 2024 |
| Uncovering the dynamic drivers of floods through interpretable deep learning Y Xu, K Lin, C Hu, X Chen, J Zhang, M Xiao, CY Xu Earth's Future 12 (10), e2024EF004751, 2024 | | 2024 |
| corrected Proof X Zhang, C Hu, S Jian, Q Wu, G Ran, Y Xu | | 2021 |