14 citations as recorded by crossref.

1. When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models M. Álvarez Chaves et al.
2. Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al.
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6. To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization E. Acuña Espinoza et al.
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12. OpenForecast: An Assessment of the Operational Run in 2020–2021 G. Ayzel & D. Abramov
13. A flexible, differentiable framework for neural-enhanced hydrological modeling: Design, implementation, and applications with HydroModels.jl X. Jing et al.
14. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al.