10 citations as recorded by crossref.

1. Earthquake fatality prediction based on hybrid feature importance assessment: a case study in Yunnan Province, China M. Luo et al. 10.1007/s11069-023-05812-6
2. What controls hydrology? An assessment across the contiguous United States through an interpretable machine learning approach K. Li & S. Razavi 10.1016/j.jhydrol.2024.131835
3. Temporal-Spatial changes of monthly vegetation growth and their driving forces in the ancient Yellow river irrigation system, China K. Li et al. 10.1016/j.jconhyd.2021.103911
4. Development of a physics-informed data-driven model for gaining insights into hydrological processes in irrigated watersheds K. Li et al. 10.1016/j.jhydrol.2022.128323
5. Development of a Stepwise‐Clustered Multi‐Catchment Hydrological Model for Quantifying Interactions in Regional Climate‐Runoff Relationships F. Wang et al. 10.1029/2021WR030035
6. Determination of soil source using laser induced breakdown spectroscopy combined with feature selection Y. Ding et al. 10.1039/D3JA00133D
7. Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference G. Cheng et al. 10.1016/j.jhydrol.2022.128803
8. Feature extraction of fluorescence excitation-emission matrices using PCA fused with Wilks Λ-statistic and FDA for origin identification and active components content prediction of sweet basil W. Du et al. 10.1007/s11694-024-02935-7
9. Feature importance measures for flood forecasting system design F. Cappelli et al. 10.1080/02626667.2024.2321332
10. Development of a Wilks feature importance method with improved variable rankings for supporting hydrological inference and modelling K. Li et al. 10.5194/hess-25-4947-2021