37 citations as recorded by crossref.

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4. Process Importance Identification for the SPAC System Under Different Water Conditions: A Case Study of Winter Wheat L. Wang et al. https://doi.org/10.3390/agronomy15030753
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9. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. https://doi.org/10.5194/hess-28-2081-2024
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20. Effectiveness and resilience of BMPs to watershed climate adaptation considering the uncertainty of hydrological model and GCMs B. Zhang et al. https://doi.org/10.1016/j.crm.2024.100612
21. Composite flood generation driven by a warm atmospheric River in a southern Andean basin, Chile F. Manquehual-Cheuque et al. https://doi.org/10.1016/j.ejrh.2026.103671
22. A new multi-model absolute difference-based sensitivity (MMADS) analysis method to screen non-influential processes under process model and parametric uncertainty J. Yang & M. Ye https://doi.org/10.1016/j.jhydrol.2022.127609
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25. A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. https://doi.org/10.1029/2022WR033263
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35. Facilitating sensitivity analysis of hydrological models through knowledge-driven configuration and distributed online model services P. Ma et al. https://doi.org/10.1016/j.jhydrol.2025.133406
36. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. https://doi.org/10.1029/2021WR031523
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