26 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. 10.1007/s10346-022-01975-8
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3. 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
4. When instrument location makes the difference on rainfall thresholds definition: Lessons learned at Cancia, Dolomites S. Crema et al. 10.1051/e3sconf/202341503008
5. Landslide Displacement Prediction Method Based on GA-Elman Model C. Wang et al. 10.3390/app112211030
6. Early warning of debris flow using optimized self-organizing feature mapping network X. Wang et al. 10.2166/ws.2020.142
7. Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al. 10.3390/w13030323
8. Analysis of embassy areas of disaster and disaster mitigation efforts in pesawaran lampung district I. Nugraheni et al. 10.1088/1755-1315/683/1/012067
9. Tracking a Decade of Hydrogeological Emergencies in Italian Municipalities A. Gatto et al. 10.3390/data8100151
10. Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan H. Ahmad et al. 10.1007/s42452-024-05646-2
11. Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models S. Steger et al. 10.5194/nhess-23-1483-2023
12. Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
13. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
14. A comprehensive framework of TDR landslide monitoring and early warning substantiated by field examples C. Chung & C. Lin 10.1016/j.enggeo.2019.105330
15. 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. 10.1016/j.jclepro.2020.122248
16. Time Series Prediction Model of Landslide Displacement Using Mean-Based Low-Rank Autoregressive Tensor Completion C. Wang & Y. Zhao 10.3390/app13085214
17. Time-Lapse Electrical Resistivity Tomography (TL-ERT) for Landslide Monitoring: Recent Advances and Future Directions V. Lapenna & A. Perrone 10.3390/app12031425
18. Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. 10.1029/2018RG000626
19. Simulation Model of Sports Entrepreneurship Performance Based on Wireless Sensor Network C. Ma et al. 10.1155/2021/2464505
20. Evaluating the Response of Hydrological Stress Indices Using the CHyM Model over a Wide Area in Central Italy A. Lombardi et al. 10.3390/hydrology9080139
21. How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al. 10.1007/s11069-019-03830-x
22. DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds O. Al-Thuwaynee et al. 10.1016/j.envsoft.2023.105657
23. Numerical Runout Modeling Analysis of the Loess Landslide at Yining, Xinjiang, China . Yang et al. 10.3390/w11071324
24. Standards for the performance assessment of territorial landslide early warning systems L. Piciullo et al. 10.1007/s10346-020-01486-4
25. Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes I. Fustos-Toribio et al. 10.5194/nhess-22-2169-2022
26. Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al. 10.1007/s10346-023-02203-7