63 citations as recorded by crossref.

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7. Failure Mechanism and Mitigation Measures of the G1002 Electricity Pylon Landslide at the Jinping I Hydropower Station G. Luo et al. https://doi.org/10.1155/2020/8820315
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22. Landslides caught on seismic networks and satellite radars A. Manconi & A. Mondini https://doi.org/10.5194/nhess-22-1655-2022
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25. Environmental Controls and Transition of the Baige Landslide Deformation Revealed by Time-Series Remote Sensing Observations S. Huang et al. https://doi.org/10.3390/rs18132169
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29. A Novel Predictive Framework for the Determination of the Threshold Limit Velocity of Open-Cast Mine Slopes M. Masood et al. https://doi.org/10.1007/s40033-024-00770-0
30. Kinematics and geological constraints of the slow-moving Pisciotta rock slide (southern Italy) P. De Vita et al. https://doi.org/10.1016/j.geomorph.2013.07.015
31. A new data-driven approach for dynamic landslide life expectancy prediction based on kinematic features J. Zhang et al. https://doi.org/10.1007/s11440-025-02702-y
32. A Comparison Study between Traditional and Finite Element Methods for Slope Stability Evaluations F. Göktepe & I. Keskin https://doi.org/10.1007/s12594-018-0864-3
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38. The use of pore pressure reinflation testing in landslide management in Hong Kong K. Ng & D. Petley https://doi.org/10.1144/1470-9236/08-008
39. Development of progressive landslide failure in cohesive materials D. Petley et al. https://doi.org/10.1130/G21147.1
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44. Dynamic intelligent prediction approach for landslide displacement based on biological growth models and CNN-LSTM Z. Wang et al. https://doi.org/10.1007/s11629-024-9113-y
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49. Influence of environmental parameters on the seismic velocity changes in a clayey mudflow (Pont-Bourquin Landslide, Switzerland) G. Bièvre et al. https://doi.org/10.1016/j.enggeo.2018.08.013
50. Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide L. Deng et al. https://doi.org/10.3390/s21072373
51. Prediction of open-pit slope displacement and time-to-failure based on hybrid deep learning S. Wang et al. https://doi.org/10.1007/s10064-026-05048-1
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55. Combined ambient vibration and surface displacement measurements for improved progressive failure monitoring at a toppling rock slab in Utah, USA E. Jensen et al. https://doi.org/10.3389/feart.2024.1364653
56. Progressive destabilization of a freestanding rock pillar in permafrost on the Matterhorn (Swiss Alps): Hydro-mechanical modeling and analysis S. Weber et al. https://doi.org/10.5194/esurf-13-1157-2025
57. Landslide forecasting and factors influencing predictability E. Intrieri & G. Gigli https://doi.org/10.5194/nhess-16-2501-2016
58. Experimental Test of Theory for the Stability of Partially Saturated Vertical Cut Slopes M. Morse et al. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001119
59. Bayesian machine learning-based method for prediction of slope failure time J. Zhang et al. https://doi.org/10.1016/j.jrmge.2021.09.010
60. Shear Band Propagation and Mechanical Behaviours of Landslides of Slope Under Top Loading L. Wei et al. https://doi.org/10.2139/ssrn.4013334
61. Fiber bundle model for multiscale modeling of hydromechanical triggering of shallow landslides D. Cohen et al. https://doi.org/10.1029/2009WR007889
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