14 citations as recorded by crossref.

1. Large ensemble simulations indicate increases in spatial compounding of droughts and hot extremes across multiple croplands in China B. Lv et al. 10.1016/j.gloplacha.2024.104670
2. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. 10.1016/j.ejrh.2023.101533
3. A Meteorological Drought Migration Model for Assessing the Spatiotemporal Paths of Drought in the Choushui River Alluvial Fan, Taiwan H. Yeh et al. 10.3390/geosciences14040106
4. Compound and consecutive drought-flood events at a global scale A. Matanó et al. 10.1088/1748-9326/ad4b46
5. Mixture copula parameter estimation with metaheuristic algorithms, comparative study under hydrological context E. Gontara & F. Chebana 10.1007/s00477-025-02914-4
6. Copula-based joint impact assessment of rainfall and tidal level on flood risk in tidal-influenced plain river network areas, Taihu Lake Basin H. Zhou et al. 10.1016/j.jhydrol.2025.132785
7. Three-dimensional identification of drought events and copula-based multivariate meteorological drought risk probability assessment in the Huai River Basin, China J. Shao et al. 10.1007/s00704-024-05318-6
8. Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R. Maity et al. 10.1016/j.acags.2024.100206
9. Compound dry and hot extremes: A review and future research pathways for India R. Guntu & A. Agarwal 10.1016/j.jhydrol.2024.131199
10. Floodplain lakes: Linking hydrology to ecology and conservation F. Xue et al. 10.1016/j.earscirev.2024.104967
11. Research on flood peak prediction in the three gorges region based on similarity search with multisource information fusion X. Wang et al. 10.1007/s12145-024-01509-x
12. Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design G. Sarigil et al. 10.1007/s00477-024-02732-0
13. Comparative analysis of cloud properties over drought- and flood-prone regions of western India using machine learning techniques N. Mevada & R. Srivastava 10.2166/wcc.2024.511
14. The testing of a multivariate probabilistic framework for reservoir safety evaluation and flood risks assessment in Slovakia: A study on the Parná and Belá Rivers R. Výleta et al. 10.2478/johh-2023-0027