42 citations as recorded by crossref.

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2. Assessing landslide velocity scales with acoustic emission active waveguides for early warning system D. Kumar et al. https://doi.org/10.1007/s11069-025-07316-x
3. Rapid landslide detection from free optical satellite imagery using a robust change detection technique R. Coluzzi et al. https://doi.org/10.1038/s41598-025-89542-8
4. Quantitative risk assessment of slow-moving landslides from the viewpoint of decision-making: A case study of the Three Gorges Reservoir in China Z. Guo et al. https://doi.org/10.1016/j.enggeo.2020.105667
5. Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation L. Wang et al. https://doi.org/10.1016/j.gr.2023.03.006
6. When instrument location makes the difference on rainfall thresholds definition: Lessons learned at Cancia, Dolomites S. Crema et al. https://doi.org/10.1051/e3sconf/202341503008
7. Acoustic emission characterization of soil shear deformation using active waveguide systems D. Kumar et al. https://doi.org/10.1080/10589759.2026.2752382
8. Landslide Displacement Prediction Method Based on GA-Elman Model C. Wang et al. https://doi.org/10.3390/app112211030
9. Landslide early warning model based on multi-source monitoring data and unsupervised machine learning Y. Chen et al. https://doi.org/10.1016/j.engappai.2025.113156
10. Deep learning models for comprehensive landslide susceptibility study considering climate change and sustainable development implications in Western Province of Rwanda V. Nwazelibe et al. https://doi.org/10.1007/s11069-026-08182-x
11. Early warning of debris flow using optimized self-organizing feature mapping network X. Wang et al. https://doi.org/10.2166/ws.2020.142
12. Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al. https://doi.org/10.3390/w13030323
13. The Evaluation of a Large-Scale Flood-Fighting Exercise: Capacity Development of Flood Fighting in Mie Prefecture, Japan T. Tokioka & J. Kawaguchi https://doi.org/10.3390/w17111564
14. Conventional and advanced geospatial techniques for landslide detection and modeling: a comprehensive overview M. Shafapourtehrany et al. https://doi.org/10.1186/s40677-025-00347-3
15. Analysis of embassy areas of disaster and disaster mitigation efforts in pesawaran lampung district I. Nugraheni et al. https://doi.org/10.1088/1755-1315/683/1/012067
16. Study on the reactivation mechanism and weak substrate effect of bottom-saturated reservoir old landslides– based on a small-scale model L. Sun et al. https://doi.org/10.1007/s10064-025-04439-0
17. Tracking a Decade of Hydrogeological Emergencies in Italian Municipalities A. Gatto et al. https://doi.org/10.3390/data8100151
18. Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan H. Ahmad et al. https://doi.org/10.1007/s42452-024-05646-2
19. A review of technical and social methods for observing and monitoring extreme rainfall events S. Mnyandu & N. Nzimande https://doi.org/10.4102/jamba.v17i1.1907
20. Assessment of soil erosion patterns in Maharloo watershed using remote sensing techniques and early warning signals F. Fathi et al. https://doi.org/10.1016/j.jaridenv.2025.105496
21. Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. https://doi.org/10.5194/nhess-23-1483-2023
22. Geographical landslide early warning systems F. Guzzetti et al. https://doi.org/10.1016/j.earscirev.2019.102973
23. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. https://doi.org/10.3390/w13141977
24. A comprehensive framework of TDR landslide monitoring and early warning substantiated by field examples C. Chung & C. Lin https://doi.org/10.1016/j.enggeo.2019.105330
25. Prediction model oriented for landslide displacement with step-like curve by applying ensemble empirical mode decomposition and the PSO-ELM method H. Du et al. https://doi.org/10.1016/j.jclepro.2020.122248
26. Time Series Prediction Model of Landslide Displacement Using Mean-Based Low-Rank Autoregressive Tensor Completion C. Wang & Y. Zhao https://doi.org/10.3390/app13085214
27. Landslide Displacement Prediction Based on the VMD–TCN Hybrid Model C. Xu et al. https://doi.org/10.1007/s11204-025-10057-5
28. Time-Lapse Electrical Resistivity Tomography (TL-ERT) for Landslide Monitoring: Recent Advances and Future Directions V. Lapenna & A. Perrone https://doi.org/10.3390/app12031425
29. Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. https://doi.org/10.1029/2018RG000626
30. Simulation Model of Sports Entrepreneurship Performance Based on Wireless Sensor Network C. Ma et al. https://doi.org/10.1155/2021/2464505
31. Evaluating the Response of Hydrological Stress Indices Using the CHyM Model over a Wide Area in Central Italy A. Lombardi et al. https://doi.org/10.3390/hydrology9080139
32. Smart Tools for Smart Learning: IoT-Based Landslide Early Warning System with TILT Sensors and Apps S. Fatmaryanti et al. https://doi.org/10.1051/e3sconf/202562203001
33. Comprehensive risk management of reservoir landslide-tsunami hazard chains: a case study of the Liangshuijing landslide in the Three Gorges Reservoir area Y. Li et al. https://doi.org/10.1007/s10346-024-02283-z
34. SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing C. He et al. https://doi.org/10.1080/19475705.2024.2424423
35. How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. https://doi.org/10.1007/s11069-019-03830-x
36. DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds O. Al-Thuwaynee et al. https://doi.org/10.1016/j.envsoft.2023.105657
37. Numerical Runout Modeling Analysis of the Loess Landslide at Yining, Xinjiang, China L. Yang et al. https://doi.org/10.3390/w11071324
38. Re-Engineering InSAR Kinematics via Local Markov Memory: A Scalable Machine Learning Framework for Corridor Slope Displacement Forecasting D. Owusu-Ansah et al. https://doi.org/10.3390/app16199540
39. Standards for the performance assessment of territorial landslide early warning systems L. Piciullo et al. https://doi.org/10.1007/s10346-020-01486-4
40. Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes I. Fustos-Toribio et al. https://doi.org/10.5194/nhess-22-2169-2022
41. Dynamics and impacts of monsoon-induced geological hazards: a 2022 flood study along the Swat River in Pakistan N. Bazai et al. https://doi.org/10.5194/nhess-25-1071-2025
42. Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al. https://doi.org/10.1007/s10346-023-02203-7