28 citations as recorded by crossref.

1. Identifying Potential Landslides in Steep Mountainous Areas Based on Improved Seasonal Interferometry Stacking-InSAR Z. Li et al. 10.3390/rs15133278
2. The key to improving the beauty of the giant retaining wall in valleys: Increasing visual extension J. Song et al. 10.1371/journal.pone.0287251
3. Research on the Evolution Network Model of the Landslide Disaster Chain: A Case Study of the Baige Landslide F. Gao et al. 10.3390/app14020499
4. Sustainable Fruition of Cultural Heritage in Areas Affected by Rockfalls S. Mineo & G. Pappalardo 10.3390/su12010296
5. Distribution Pattern of Landslides Triggered by the 2014 Ludian Earthquake of China: Implications for Regional Threshold Topography and the Seismogenic Fault Identification S. Zhou et al. 10.3390/ijgi5040046
6. Probabilistic seismic source inversion from regional landslide evidence R. Rasanen & B. Maurer 10.1007/s10346-021-01780-9
7. Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau J. Cao et al. 10.1016/j.catena.2018.12.013
8. Protecting highway bridges against debris flows using lateral berms: a case study of the 2008 and 2011 Cheyang debris flow events, China F. Qiu et al. 10.1080/19475705.2017.1414718
9. Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation L. Wang et al. 10.1016/j.gr.2023.03.006
10. Seismic response of steep slopes inferred from ambient noise and accelerometer recordings: the case of Dadu River valley, China V. Del Gaudio et al. 10.1016/j.enggeo.2019.105197
11. Control of style-of-faulting on spatial pattern of earthquake-triggered landslides T. Gorum & E. Carranza 10.1007/s13762-015-0752-y
12. Landslide Identification in Human-Modified Alpine and Canyon Area of the Niulan River Basin Based on SBAS-InSAR and Optical Images S. Yang et al. 10.3390/rs15081998
13. Assessment of attenuation regressions for earthquake-triggered landslides in the Italian Apennines: insights from recent and historical events F. Livio & M. Ferrario 10.1007/s10346-020-01464-w
14. Network-Based Earthquake Magnitude Determination via Deep Learning W. Kuang et al. 10.1785/0220200317
15. Landslides triggered by the 22 July 2013 Minxian–Zhangxian, China, Mw 5.9 earthquake: Inventory compiling and spatial distribution analysis C. Xu et al. 10.1016/j.jseaes.2014.06.014
16. Insights into some large-scale landslides in southeastern margin of Qinghai-Tibet Plateau B. Zhao et al. 10.1016/j.jrmge.2022.09.005
17. Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR L. Zhang et al. 10.3390/rs13183662
18. Evaluation of factors controlling large earthquake-induced landslides by the Wenchuan earthquake X. Chen et al. 10.5194/nhess-12-3645-2012
19. Co-seismic stress changes and triggering mechanism of earthquake-induced landslides: a case of 2005 Kashmir earthquake Z. Kazmi et al. 10.1007/s12517-021-08514-0
20. Simulation of a long-runout rock avalanche triggered by the Lushan earthquake in the Tangjia Valley, Tianquan, Sichuan, China B. Li et al. 10.1016/j.enggeo.2017.01.007
21. Predicting landslide scenes under potential earthquake scenarios in the Xianshuihe fault zone, Southwest China Y. Zhang et al. 10.1007/s11629-017-4363-6
22. Topographic Controls on the Distribution of Coseismic Landslides: A Case Study Using the Coefficient of Variation of the 2014 Ludian, Yunnan, China, Ms6.5 Earthquake X. Chen et al. 10.2113/2022/6678652
23. Landslides and other geomorphologic and hydrologic effects induced by earthquakes in Portugal T. Vaz & J. Zêzere 10.1007/s11069-015-2071-5
24. Displacement Characterization and Spatial-Temporal Evolution of the 2020 Aniangzhai Landslide in Danba County Using Time-Series InSAR and Multi-Temporal Optical Dataset J. Kuang et al. 10.3390/rs14010068
25. Brief Communication: Landslides triggered by the <i>M</i><sub>s</sub> = 7.0 Lushan earthquake, China X. Chen et al. 10.5194/nhess-14-1257-2014
26. Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement J. Kuang et al. 10.3390/rs15020369
27. Coupling InSAR and numerical modeling for characterizing landslide movements under complex loads in urbanized hillslopes P. Ma et al. 10.1007/s10346-020-01604-2
28. Crustal response to water loads and expansion of triggered seismicity around the Xiluodu Reservoir, Southwest China X. Shi et al. 10.59717/j.xinn-geo.2024.100047