16 citations as recorded by crossref.

1. Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin D. Ba et al. https://doi.org/10.2478/johh-2023-0044
2. New hybrid GR6J-wavelet-based genetic algorithm-artificial neural network (GR6J-WGANN) conceptual-data-driven model approaches for daily rainfall–runoff modelling C. Sezen & T. Partal https://doi.org/10.1007/s00521-022-07372-5
3. Sensitivity of global hydrological models to potential evapotranspiration estimation methods in the Senegal River Basin (West Africa) P. Ndiaye et al. https://doi.org/10.1016/j.ejrh.2024.101823
4. Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT in the Densu river basin in Ghana F. Adjei et al. https://doi.org/10.1007/s13762-022-03945-y
5. Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models C. Sezen & M. Šraj https://doi.org/10.1016/j.scitotenv.2024.171684
6. Hourly rainfall-runoff modelling by combining the conceptual model with machine learning models in mostly karst Ljubljanica River catchment in Slovenia C. Sezen & M. Šraj https://doi.org/10.1007/s00477-023-02607-w
7. Two integrated conceptual–wavelet-based data-driven model approaches for daily rainfall–runoff modelling C. Sezen & T. Partal https://doi.org/10.2166/hydro.2022.171
8. Multi-Objective Calibration of a Pre-Modern Nile Hydrologic Model Using Recovered Records I. Munyejuru & J. Stagge https://doi.org/10.3390/hydrology13040114
9. Quantification of climate change sensitivity of shallow and deep groundwater in Denmark I. Seidenfaden et al. https://doi.org/10.1016/j.ejrh.2022.101100
10. Community Perception of Riparian Corridors Ecosystem Services and Implications for Environmental Education in Upper Oueme Catchment in Benin, West Africa S. Kinnoumè et al. https://doi.org/10.4236/oje.2024.142008
11. On the application of rainfall projections from a convection-permitting climate model to lumped catchment models M. Ascott et al. https://doi.org/10.1016/j.jhydrol.2023.129097
12. Trees diversity explains variations in biodiversity-ecosystem function relationships across environmental gradients and conservation status in riparian corridors S. Kinnoumè et al. https://doi.org/10.3389/ffgc.2024.1291252
13. Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models J. Yang et al. https://doi.org/10.1016/j.ejrh.2024.102034
14. Applicability of the Lumped GR4J Model for Modeling the Hydrology of the Inland Valleys of the Sudanian Zones of Benin A. Tidjani et al. https://doi.org/10.3390/w18030340
15. Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile N. Flores et al. https://doi.org/10.3390/w13223191
16. Enhancing hydrological modeling with bias-corrected satellite weather data in data-scarce catchments: a comparative analysis of SWAT and GR4J models Y. Hrour et al. https://doi.org/10.3389/frwa.2025.1582589