31 citations as recorded by crossref.

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5. Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java G. Samodra et al. 10.1007/s12665-017-6475-2
6. 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. 10.1016/j.scitotenv.2020.140549
7. Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM J. Dou et al. 10.3390/rs11060638
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17. 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. 10.1016/j.cie.2019.02.003
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19. 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. 10.3390/w13223312
20. Earthquake-induced landslide scenarios for seismic microzonation: application to the Accumoli area (Rieti, Italy) S. Martino et al. 10.1007/s10518-019-00589-1
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23. GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, N-E Algeria F. Mahdadi et al. 10.1007/s12517-018-3770-5
24. Macrobenthos habitat potential mapping using GIS-based artificial neural network models S. Lee et al. 10.1016/j.marpolbul.2012.10.023
25. Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal B. Pokharel et al. 10.1007/s10346-020-01558-5
26. Landslide susceptibility mapping at Ovacık-Karabük (Turkey) using different artificial neural network models: comparison of training algorithms A. Can et al. 10.1007/s10064-017-1034-3
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31. 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. 10.1016/j.geomorph.2012.04.023