36 citations as recorded by crossref.

1. Investigation of the influence of nonoccurrence sampling on landslide susceptibility assessment using Artificial Neural Networks L. Lucchese et al.
2. Integration of artificial neural network and geographical information system for intelligent assessment of land suitability for the cultivation of a selected crop F. Farnood Ahmadi & N. Farsad Layegh
3. Rapid Assessment of the Co-seismic Landslide Hazard Triggered by the 2022 Ms 6.8 Luding Earthquake G. Du et al.
4. Landslide Susceptibility Mapping in North Tehran, Iran: Linear Regression, Neural Networks, and Fuzzy Logic Approaches A. Ghaedi Vanani et al.
5. Assessment of landslides induced by earthquake risk of Istanbul: A comprehensive study utilizing an integrated DFS-AHP and DFS-EDAS approach B. Yalcin Kavus & A. Taskin
6. Natural Laboratories for Field Observation About Genesis and Landscape Effects of Palaeo-Earthquakes: a Proposal for the Rocca Busambra and Monte Barracù Geosites (West Sicily) L. Basilone et al.
7. Remote sensing GIS-based landslide susceptibility & risk modeling in Darjeeling–Sikkim Himalaya together with FEM-based slope stability analysis of the terrain S. Nath et al.
8. Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java G. Samodra et al.
9. Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping H. Hong et al.
10. Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM J. Dou et al.
11. Predicting the landslides triggered by the 2009 96E/Ida tropical storms in the Ilopango caldera area (El Salvador, CA): optimizing MARS-based model building and validation strategies E. Rotigliano et al.
12. Optimizing slope unit-based landslide susceptibility mapping using the priority-flood flow direction algorithm G. Yan et al.
13. Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments W. Chen et al.
14. Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach A. Saha & S. Saha
15. Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards M. Wang et al.
16. Investigating Limits in Exploiting Assembled Landslide Inventories for Calibrating Regional Susceptibility Models: A Test in Volcanic Areas of El Salvador C. Martinello et al.
17. Application of index of entropy and Geospatial techniques for landslide prediction in Lunglei district, Mizoram, India J. Barman et al.
18. Shear wave velocity and soil type microzonation using neural networks and geographic information system M. Motalleb Nejad et al.
19. Attribute selection using correlations and principal components for artificial neural networks employment for landslide susceptibility assessment L. Lucchese et al.
20. A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece) C. Polykretis et al.
21. A three-stage and multi-objective stochastic programming model to improve the sustainable rescue ability by considering secondary disasters in emergency logistics J. Zhang et al.
22. ESI-07 ShakeMaps for instrumental and historical events in the Betic Cordillera (SE Spain): An approach based on geological data and applied to seismic hazard P. Silva et al.
23. Spatiotemporal Landslide Susceptibility Mapping Incorporating the Effects of Heavy Rainfall: A Case Study of the Heavy Rainfall in August 2021 in Kitakyushu, Fukuoka, Japan J. Li et al.
24. Landslide vulnerability mapping using GIS-based statistical model for sustainable ecosystem management in the Himalayan region of Teesta River basin, India S. Pal et al.
25. Earthquake-induced landslide scenarios for seismic microzonation: application to the Accumoli area (Rieti, Italy) S. Martino et al.
26. A review of recent studies on landslide hazard in Latin America A. Valdés Carrera et al.
27. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment Q. Ba et al.
28. GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, N-E Algeria F. Mahdadi et al.
29. Macrobenthos habitat potential mapping using GIS-based artificial neural network models S. Lee et al.
30. Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal B. Pokharel et al.
31. Landslide susceptibility mapping at Ovacık-Karabük (Turkey) using different artificial neural network models: comparison of training algorithms A. Can et al.
32. Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art X. Shao & C. Xu
33. A two-stage stochastic optimization for disaster rescue resource distribution considering multiple disasters B. Wang et al.
34. Application of a hybrid model of neural networks and genetic algorithms to evaluate landslide susceptibility H. Wang et al.
35. Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning F. Wang et al.
36. Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks D. Tien Bui et al.