14 citations as recorded by crossref.

1. Debris flow: Simulating the mitigation properties of vegetation A. Leonardi et al. https://doi.org/10.1051/e3sconf/202341504008
2. Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes T. Zgheib et al. https://doi.org/10.1017/jog.2022.103
3. Revealing the role of forests in the mobility of geophysical flows Z. Liang et al. https://doi.org/10.1016/j.compgeo.2022.105194
4. Snow avalanches in relation to tourism and transportation activities in the Făgăraş Mountains, Romanian Carpathians M. Voiculescu et al. https://doi.org/10.1016/j.ancene.2023.100407
5. The potential of non-native tree species to provide major ecosystem services in Austrian forests J. Konic et al. https://doi.org/10.3389/fpls.2024.1402601
6. 基于GIS与RAMMS模拟的雪崩释放区识别及危险性评估：以西藏扎墨公路嘎隆拉段为例 . TIAN Xuwen et al. https://doi.org/10.3799/dqkx.2025.280
7. Effects of grain size on landslide–forest interaction H. Liu et al. https://doi.org/10.1016/j.enggeo.2026.108613
8. Downslope granular flow through a forest of obstacles B. Darbois Texier et al. https://doi.org/10.1103/PhysRevFluids.8.034303
9. Quantifying and valuing forests as a nature-based solution for ecosystem-based disaster risk reduction: A systematic review E. Ashrafizadeh & R. Yousefpour https://doi.org/10.1016/j.nbsj.2025.100242
10. A Coupled Material Point Method and Discrete Element Method Framework for Continuum‐Slim Structure Interaction Modeling P. Chen et al. https://doi.org/10.1002/nag.70133
11. Snow avalanche susceptibility, hazard, and exposure assessment in the Western Himalaya using machine learning and numerical modelling A. Abhinav & A. Sattar https://doi.org/10.1038/s41598-025-22051-w
12. Granular collapse on a rough slope H. Geng et al. https://doi.org/10.1103/sc9j-7c35
13. Forest damage and its braking effect on the extreme snow avalanche on Mt. Nodanishoji, Japan, in 2021 Y. Takeuchi et al. https://doi.org/10.1080/15230430.2024.2327652
14. 3D Numerical modeling of compressible and cohesive granular flow impact on narrow obstacles M. Kohler et al. https://doi.org/10.1016/j.cpms.2025.11.005