35 citations as recorded by crossref.

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4. Root Reinforcement in Slope Stability Models: A Review E. Masi et al. https://doi.org/10.3390/geosciences11050212
5. The development of stream temperature model in a mountainous river of Taiwan C. Tung et al. https://doi.org/10.1007/s10661-014-3942-z
6. Assessment of shallow landslide susceptibility using the transient infiltration flow model and GIS-based probabilistic approach J. Lee & H. Park https://doi.org/10.1007/s10346-015-0646-6
7. Optimal estimator for assessing landslide model performance J. Huang & S. Kao https://doi.org/10.5194/hess-10-957-2006
8. The potential impact of climate change on typhoon-triggered landslides in Taiwan, 2010–2099 S. Chiang & K. Chang https://doi.org/10.1016/j.geomorph.2010.12.028
9. Investigating Sediment Dynamics in a Landslide-Dominated Catchment by Modeling Landslide Area and Fluvial Sediment Export T. Teng et al. https://doi.org/10.3390/w12102907
10. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali https://doi.org/10.1080/10106049.2017.1357767
11. Simulating typhoon-induced storm hydrographs in subtropical mountainous watershed: an integrated 3-layer TOPMODEL J. Huang et al. https://doi.org/10.5194/hess-13-27-2009
12. The Role of Initial Soil Conditions in Shallow Landslide Triggering: Insights from Physically Based Approaches L. Schilirò et al. https://doi.org/10.1155/2019/2453786
13. Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability H. Jiang et al. https://doi.org/10.1007/s13753-023-00507-9
14. Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation H. Park et al. https://doi.org/10.1007/s10346-018-01125-z
15. Assessment of Landslide Susceptibility using a Coupled Infinite Slope Model and Hydrologic Model in Jinbu Area, Gangwon-Do J. Lee & H. Park https://doi.org/10.9719/EEG.2012.45.6.697
16. A probabilistic multidimensional approach to quantify large wood recruitment from hillslopes in mountainous-forested catchments A. Cislaghi et al. https://doi.org/10.1016/j.geomorph.2018.01.009
17. A Comparison of Research Trends on Soil Reinforcement by Tree Roots Using Bibliometric Analysis K. Kim & S. Kim https://doi.org/10.14397/jals.2024.58.3.63
18. An integrated model for predicting rainfall-induced landslides K. Chang & S. Chiang https://doi.org/10.1016/j.geomorph.2008.10.012
19. Application of radar data to modeling rainfall-induced landslides S. Chiang & K. Chang https://doi.org/10.1016/j.geomorph.2008.06.012
20. Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach H. Park et al. https://doi.org/10.1016/j.enggeo.2013.04.011
21. Landslide Susceptibility Using Climatic–Environmental Factors Using the Weight-of-Evidence Method—A Study Area in Central Italy M. Gentilucci et al. https://doi.org/10.3390/app13158617
22. A GIS tool for infinite slope stability analysis (GIS-TISSA) R. Escobar-Wolf et al. https://doi.org/10.1016/j.gsf.2020.09.008
23. Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range T. Pei & T. Qiu https://doi.org/10.1007/s11440-024-02384-y
24. A free web-based approach for rainfall-induced landslide susceptibility modeling: Case study of Clearwater National Forest, Idaho, USA P. Gorsevski https://doi.org/10.1016/j.envsoft.2023.105632
25. A method for predicting the factor of safety of an infinite slope based on the depth ratio of the wetting front induced by rainfall infiltration B. Chae et al. https://doi.org/10.5194/nhess-15-1835-2015
26. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al. https://doi.org/10.1007/s12303-017-0034-4
27. A vegetation-aware deep learning model for landslide prediction with antecedent rainfall C. Ng et al. https://doi.org/10.1680/jgeot.25.00551
28. A novel approach of mapping snow disaster-prone areas based on areal disaster density optimization: a case study of South Korea S. Kim et al. https://doi.org/10.1007/s11069-025-07761-8
29. Terrain attributes of earthquake‐ and rainstorm‐induced landslides in orogenic mountain Belt, Taiwan J. Huang et al. https://doi.org/10.1002/esp.4112
30. Debris flow susceptibility mapping in Colorado Front Range, USA: A comparison of physics-based and data-driven approaches T. Pei et al. https://doi.org/10.1051/e3sconf/202341501018
31. Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method H. Park et al. https://doi.org/10.3390/rs9050487
32. Assessing potential risk of glacier avalanches to hydropower infrastructure in the Himalayan region S. Laha et al. https://doi.org/10.1007/s11069-023-06389-w
33. Controls of preferential orientation of earthquake‐ and rainfall‐triggered landslides in Taiwan's orogenic mountain belt Y. Chen et al. https://doi.org/10.1002/esp.4601
34. TRIGRS-FOSM: probabilistic slope stability tool for rainfall-induced landslide susceptibility assessment A. Ajith & R. Pillai https://doi.org/10.1007/s11069-024-06933-2
35. The effect of hydrological conditions and bioactivities on the spatial and temporal variations of streambed hydraulic characteristics at the subtropical alpine catchment Y. Chiu et al. https://doi.org/10.1016/j.jhydrol.2020.124665