14 citations as recorded by crossref.

1. Impact pressure of waves generated by landslides on bank slopes T. Cao et al. 10.1007/s11629-023-8331-z
2. A 3D slice–based analytical calculation formula for the reservoir landslide velocity D. Xingchen et al. 10.1007/s10346-023-02081-z
3. Experimental study on the pressure of impulse waves generated by landslides on a bank slope T. Cao et al. 10.1080/1064119X.2020.1811437
4. Landslide tsunamis: Comparison between depth-averaged and Navier–Stokes models A. Paris et al. 10.1016/j.coastaleng.2021.104022
5. Stability prediction of the toppling rock slope on the Heihe reservoir bank using discontinuous deformation analysis M. Haider et al. 10.1007/s12665-023-11076-x
6. River blockage and impulse wave evolution of the Baige landslide in October 2018: Insights from coupled DEM-CFD analyses D. Li et al. 10.1016/j.enggeo.2023.107169
7. Pressure characteristics of landslide-generated impulse waves J. Tan et al. 10.1007/s11629-018-5307-5
8. The December 22, 2018 Anak Krakatau, Indonesia, Landslide and Tsunami: Preliminary Modeling Results A. Paris et al. 10.1007/s00024-019-02394-y
9. A model for interpreting the deformation mechanism of reservoir landslides in the Three Gorges Reservoir area, China Z. Zou et al. 10.5194/nhess-21-517-2021
10. Centrifuge modeling and numerical analysis of reservoir bank landslides triggered by a fast two-step drop in water level C. Jia et al. 10.1007/s10064-023-03490-z
11. Prediction of impulse waves generated by the Wangjiashan landslide using a hybrid SPH-SWEs model H. Ma et al. 10.1007/s11069-023-06333-y
12. Numerical Investigation on Hydrodynamic Characteristics of Landslide-Induced Impulse Waves in Narrow River-Valley Reservoirs B. Deng et al. 10.1109/ACCESS.2020.3022651
13. Potential failure mechanism and tsunami risk analysis of the Longmen dangerous rock mass in the scenic area within the three gorges reservoir area, China X. Wang et al. 10.1007/s11069-024-06560-x
14. The Impact of Reservoir Fluctuations on Reactivated Large Landslides: A Case Study J. Iqbal et al. 10.1155/2019/2374236