| Application of the machine learning lightgbm model to the prediction of the water levels of the lower columbia river M Gan, S Pan, Y Chen, C Cheng, H Pan, X Zhu Journal of Marine Science and Engineering 9 (5), 496, 2021 | 72 | 2021 |
| Application of the Variational Mode Decomposition (VMD) method to river tides M Gan, H Pan, Y Chen, S Pan Estuarine, Coastal and Shelf Science 261, 107570, 2021 | 47 | 2021 |
| Joint probability analysis of extreme wave heights and surges along China's coasts Y Chen, J Li, S Pan, M Gan, Y Pan, D Xie, S Clee Ocean engineering 177, 97-107, 2019 | 34 | 2019 |
| Application of auto-regressive (AR) analysis to improve short-term prediction of water levels in the Yangtze estuary Y Chen, M Gan, S Pan, H Pan, X Zhu, Z Tao Journal of Hydrology 590, 125386, 2020 | 29 | 2020 |
| A modified nonstationary tidal harmonic analysis model for the Yangtze estuarine tides M Gan, Y Chen, S Pan, J Li, Z Zhou Journal of Atmospheric and Oceanic Technology 36 (4), 513-525, 2019 | 20 | 2019 |
| Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models Y Guo, X Lai, M Gan Ecological Informatics 78, 102292, 2023 | 7 | 2023 |
| The performance of the copulas in estimating the joint probability of extreme waves and surges along east coasts of the mainland China J Li, S Pan, Y Chen, M Gan Ocean Engineering 237, 109581, 2021 | 7 | 2021 |
| Study on the spatiotemporal variation of the Yangtze estuarine tidal species M Gan, Y Chen, H Pan, S Pan, X Lai, Y Wen, M Xia, Y Zhang Estuarine, Coastal and Shelf Science 298, 108637, 2024 | 6 | 2024 |
| Floodplain Lake Water Level Prediction with Strong River-Lake Interaction Using the Ensemble Learning LightGBM M Gan, X Lai, Y Guo, Y Chen, S Pan, Y Zhang Water Resources Management, 1-17, 2024 | 3 | 2024 |
| Study on the Tidal Variability Related to Flooding and Hydroelectric Operations in the Qiantang River Estuary H Zhou, H Pan, M Gan, G Zhang, S Wang, C Ying Estuarine, Coastal and Shelf Science, 108845, 2024 | 3 | 2024 |
| An improved machine learning-based model to predict estuarine water levels M Gan, Y Chen, S Pan, X Lai, H Pan, Y Wen, M Xia Ocean Modelling, 102376, 2024 | 3 | 2024 |
| 上海沿海风暴潮历史特征分析 陈升， 甘敏， 孙丽， 谢冬梅， 陈永平 海洋学研究 39 (4), 101, 2021 | 3 | 2021 |
| 1951—2016 年影响我国热带气旋的强度变化特征及其与 ENSO 的关系 刘颖婧， 陈永平， 甘敏， 李江夏 | 3 | 2018 |
| Wave-induced uplift pressure on berm revetment with Seabee slope Z Zhou, Y Chen, Y Pan, Y Shen, M Gan Coastal Engineering Journal 62 (4), 527-539, 2020 | 2 | 2020 |
| Unravelling the spatiotemporal variation in the water levels of Poyang Lake with the variational mode decomposition model M Gan, X Lai, Y Guo, Z Lu, Y Chen, S Pan, H Pan, A Chu Hydrological Processes 38 (7), e15239, 2024 | 1 | 2024 |
| The modified method of reanalysis wind data in estuarine areas Z Tao, Y Chen, A Chu, S Pan, M Gan, Y Chen, Z Che, Y Zhu Water 14 (11), 1826, 2022 | 1 | 2022 |
| Study of nitrogen and phosphorus flow in water, aquatic plants and sediment. X Zhu, YP Chen, M Gan, JJ Zhou, XD Hu Applied Ecology & Environmental Research 18 (1), 2020 | 1 | 2020 |
| Fifty years marshland changes in a large floodplain lake: Natural driving or human impact? Z Lu, X Lai, M Gan, Y Zhang Journal of Hydrology: Regional Studies 56, 101966, 2024 | | 2024 |
| A Two-Dimensional Numerical Model for Surface Flows with Flexible Vegetation C Chen, D Zhao, Y Wu, Y Zheng, Y Deng, X Zhang, M Gan, X Lai Modern Management Based on Big Data IV, 420-426, 2023 | | 2023 |
| Study on the Influence of Multiple Factors on Submerged Macrophyte Growth with Physics Experiments C Chen, Y Zheng, Y Deng, Y Wu, X Zhang, M Gan, X Lai International Conference on Water Resource and Environment, 477-487, 2022 | | 2022 |