12 citations as recorded by crossref.

1. Improving regional low-flow modeling in ungauged French catchments using the SMASH platform: A comparative assessment of grid-based parsimonious GR hydrological models and ANN-based regionalization strategies T. de Fournas et al. https://doi.org/10.1016/j.ejrh.2026.103629
2. A prompt-guided differentiable physics model for flood forecasting in data-scarce basins J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2026.135671
3. A hybrid physics–AI approach using universal differential equations with state-dependent neural networks for learnable, regionalizable, spatially distributed hydrological modeling N. Huynh et al. https://doi.org/10.5194/gmd-19-1055-2026
4. A review of hydropower reservoir GHG estimation methods M. Seth et al. https://doi.org/10.1016/j.rser.2026.116859
5. Enhancing Rainfall-Runoff Simulation in Data-Scarce Watersheds: Integration of Satellite Observations, Physically-Based Hydrological Modeling, and Machine Learning K. Khosravi et al. https://doi.org/10.1007/s11269-026-04800-2
6. Enhancing Flood Forecasting with Machine Learning Informed by Integrated ParFlow-CLM Hydrological Modeling S. Soltani et al. https://doi.org/10.1007/s41748-025-00923-5
7. A machine learning framework for runoff simulation in small catchments: Integrating atmosphere–ocean–land large-scale indices and catchment variables C. Ma et al. https://doi.org/10.1016/j.ejrh.2026.103181
8. Beyond prediction accuracy: using differentiable hybrid models as a tool for hydrological knowledge discovery Y. Hu et al. https://doi.org/10.1016/j.jhydrol.2026.136147
9. Enhancing runoff simulation in data-scarce mountainous regions: a coupled SWAT and transferable transformer approach Y. He et al. https://doi.org/10.1016/j.jhydrol.2026.135396
10. Application of Hydrological Modelling to Water Resources Management F. Ghobadi et al. https://doi.org/10.3390/w18151904
11. Review article: Harnessing data-driven methods for climate multi-hazard and multi-risk assessment D. Ferrario et al. https://doi.org/10.5194/nhess-26-2975-2026
12. FloodTransformer: Efficient real-time high-resolution flood forecasting Z. Gu et al. https://doi.org/10.1016/j.envsoft.2025.106832