13 citations as recorded by crossref.

1. Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al. 10.1007/s10346-024-02242-8
2. PHyL v1.0: A parallel, flexible, and advanced software for hydrological and slope stability modeling at a regional scale G. Chen et al. 10.1016/j.envsoft.2023.105882
3. A new index to quantify the extremeness of precipitation across scales P. Voit & M. Heistermann 10.5194/nhess-22-2791-2022
4. Failure Process of High-Loess-Filled-Slopes (HLFSs) during Precipitation under Different Mitigation Measures Y. Zhu et al. 10.3390/app14010419
5. Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
6. Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring data T. Halter et al. 10.1007/s10346-024-02304-x
7. A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. 10.1016/j.heliyon.2023.e23247
8. A prototype adaptive mesh generator for enhancing computational efficiency and accuracy in physically-based modeling of flood-landslide hazards G. Chen et al. 10.1016/j.envsoft.2025.106458
9. Rainfall characteristics and magnitude control the volume of shallow and deep-seated landslides: Inferences from analyses using a simple runoff model T. Sato & Y. Shuin 10.1016/j.geomorph.2024.109453
10. Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products M. Bordoni et al. 10.1007/s10064-023-03304-2
11. Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate E. Leonarduzzi et al. 10.3389/frwa.2022.927113
12. Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China J. Zhuang et al. 10.5194/nhess-24-2615-2024
13. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879