40 citations as recorded by crossref.

1. Monitoring the role of soil hydrologic conditions and rainfall for the triggering of torrential flows in the Rebaixader catchment (Central Pyrenees, Spain) R. Oorthuis et al. https://doi.org/10.1007/s10346-022-01975-8
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. Landslide Displacement Prediction Method Based on GA-Elman Model C. Wang et al. https://doi.org/10.3390/app112211030
8. 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
9. 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
10. Early warning of debris flow using optimized self-organizing feature mapping network X. Wang et al. https://doi.org/10.2166/ws.2020.142
11. 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
12. 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
13. 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
14. 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
15. 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
16. Tracking a Decade of Hydrogeological Emergencies in Italian Municipalities A. Gatto et al. https://doi.org/10.3390/data8100151
17. 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
18. 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
19. 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
20. 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
21. Geographical landslide early warning systems F. Guzzetti et al. https://doi.org/10.1016/j.earscirev.2019.102973
22. 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
23. 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
24. 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
25. 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
26. Landslide Displacement Prediction Based on the VMD–TCN Hybrid Model C. Xu et al. https://doi.org/10.1007/s11204-025-10057-5
27. 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
28. Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. https://doi.org/10.1029/2018RG000626
29. Simulation Model of Sports Entrepreneurship Performance Based on Wireless Sensor Network C. Ma et al. https://doi.org/10.1155/2021/2464505
30. 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
31. 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
32. 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
33. SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing C. He et al. https://doi.org/10.1080/19475705.2024.2424423
34. 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
35. 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
36. Numerical Runout Modeling Analysis of the Loess Landslide at Yining, Xinjiang, China L. Yang et al. https://doi.org/10.3390/w11071324
37. Standards for the performance assessment of territorial landslide early warning systems L. Piciullo et al. https://doi.org/10.1007/s10346-020-01486-4
38. 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
39. 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
40. Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al. https://doi.org/10.1007/s10346-023-02203-7