10 citations as recorded by crossref.

1. A Comprehensive Review of Machine Learning for Water Quality Prediction over the Past Five Years X. Yan et al. 10.3390/jmse12010159
2. Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches A. Mihel et al. 10.1016/j.envsoft.2024.106033
3. Research progresses and prospects of multi-sphere compound extremes from the Earth System perspective Z. Hao & Y. Chen 10.1007/s11430-023-1201-y
4. Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review H. Sun et al. 10.3390/rs16020350
5. Classification and detection of natural disasters using machine learning and deep learning techniques: A review K. Abraham et al. 10.1007/s12145-023-01205-2
6. A Review of Application of Machine Learning in Storm Surge Problems Y. Qin et al. 10.3390/jmse11091729
7. Flood Hazard and Management in Cambodia: A Review of Activities, Knowledge Gaps, and Research Direction S. Phy et al. 10.3390/cli10110162
8. Impacts of rainstorm characteristics on flood inundation mitigation performance of LID measures throughout an urban catchment Z. Zhou et al. 10.1016/j.jhydrol.2023.129841
9. Application of Idealised Modelling and Data Analysis for Assessing the Compounding Effects of Sea Level Rise and Altered Riverine Inflows on Estuarine Tidal Dynamics D. Khojasteh et al. 10.3390/jmse11040815
10. Multivariate multi-step LSTM model for flood runoff prediction: a case study on the Godavari River Basin in India N. Garg et al. 10.2166/wcc.2023.374