48 citations as recorded by crossref.

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3. Multi-Indicator Fusion-Based Unsupervised Statistical Method for Slope Deformation Anomaly Warning in Open-Pit Coal Mines X. Zhang et al. https://doi.org/10.3390/app16199792
4. Satellite-based identification of co-seismic landslides and slow-moving landslides after earthquakes F. Zhao et al. https://doi.org/10.1007/s10346-025-02689-3
5. Monitoring Surface Deformation over a Failing Rock Slope with the ESA Sentinels: Insights from Moosfluh Instability, Swiss Alps A. Manconi et al. https://doi.org/10.3390/rs10050672
6. Integration of robotic total station and digital image correlation to assess the three-dimensional surface kinematics of a landslide N. Dematteis et al. https://doi.org/10.1016/j.enggeo.2022.106655
7. Piuro Landslide: 3D Hydromechanical Numerical Modelling of the 1618 Event A. Morcioni et al. https://doi.org/10.3390/geosciences13020049
8. A Landslide Monitoring System for Natural Terrain in Korea: Development and Application in Hazard Evaluations Y. Song et al. https://doi.org/10.3390/s21093040
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12. Probabilistic prediction of slope failure time J. Zhang et al. https://doi.org/10.1016/j.enggeo.2020.105586
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14. Successive landsliding and damming of the Jinsha River in eastern Tibet, China: prime investigation, early warning, and emergency response X. Fan et al. https://doi.org/10.1007/s10346-019-01159-x
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17. Landslide forecasting and factors influencing predictability E. Intrieri & G. Gigli https://doi.org/10.5194/nhess-16-2501-2016
18. Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework K. Dai et al. https://doi.org/10.1109/MGRS.2019.2954395
19. Development of an algorithm for automatic elaboration, representation and dissemination of landslide monitoring data A. Wrzesniak & D. Giordan https://doi.org/10.1080/19475705.2017.1392369
20. Landslide monitoring and maintenance plan along infrastructure: the example of the Maratea major rockfall (Southern Italy) A. Santo & L. Massaro https://doi.org/10.1007/s10346-024-02409-3
21. A dynamic evaluation method for slope safety with monitoring information based on a hybrid intelligence algorithm C. Wang et al. https://doi.org/10.1016/j.compgeo.2023.105772
22. Event-based mapping and spatial pattern analysis of landslides in parts of central Vietnam R. Das et al. https://doi.org/10.1007/s11069-025-07670-w
23. Landslide displacement prediction from on-site deformation data based on time series ARIMA model Z. Wang et al. https://doi.org/10.3389/fenvs.2023.1249743
24. Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling Á. Török et al. https://doi.org/10.5194/nhess-18-583-2018
25. Detailed and large-scale cost/benefit analyses of landslide prevention vs. post-event actions G. Salbego et al. https://doi.org/10.5194/nhess-15-2461-2015
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27. Assessment of Landslide Pre-Failure Monitoring and Forecasting Using Satellite SAR Interferometry S. Moretto et al. https://doi.org/10.3390/geosciences7020036
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29. Artificial Intelligence and Physics-Informed Modeling for Rock Slope Engineering: Progress, Challenges, and Future Directions H. Liu et al. https://doi.org/10.3390/buildings16101864
30. The Importance of a Dedicated Monitoring Solution and Communication Strategy for an Effective Management of Complex Active Landslides in Urbanized Areas D. Giordan et al. https://doi.org/10.3390/su11040946
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34. Relations between climate change and mass movement: Perspectives from the Canadian Cordillera and the European Alps M. Chiarle et al. https://doi.org/10.1016/j.gloplacha.2021.103499
35. Failure mechanism and early warning of an excavation-induced soil landslide Y. Wu et al. https://doi.org/10.3389/feart.2024.1410011
36. 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
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38. Innovative approach for experimental investigation and monitoring and warning of the evolutionary patterns of dam body failure in earth dams Y. Xu et al. https://doi.org/10.1038/s41598-025-97057-5
39. Use of Quantile Regression with Fukui–Okubo Model for Prediction and Early Warning of Reservoir Bank Slope Failure M. Chen et al. https://doi.org/10.1007/s00603-022-02975-9
40. Classification and kinematics of the Planpincieux Glacier break-offs using photographic time-lapse analysis D. Giordan et al. https://doi.org/10.1017/jog.2019.99
41. An early warning system integrating time-of-failure analysis and alert procedure for slope failures M. Chen & Q. Jiang https://doi.org/10.1016/j.enggeo.2020.105629
42. An early-warning method for rock failure based on Hurst exponent in acoustic emission/microseismic activity monitoring Z. Li & R. Xu https://doi.org/10.1007/s10064-021-02446-5
43. An approach for prospective forecasting of rock slope failure time J. Leinauer et al. https://doi.org/10.1038/s43247-023-00909-z
44. Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. https://doi.org/10.1007/s10346-016-0750-2
45. A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide Y. Zhang et al. https://doi.org/10.1007/s11069-020-04337-6
46. A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index J. Zhang et al. https://doi.org/10.1007/s10064-024-03672-3
47. State fusion entropy for continuous and site-specific analysis of landslide stability changing regularities Y. Liu et al. https://doi.org/10.5194/nhess-18-1187-2018
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