35 citations as recorded by crossref.

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2. Early Risk Warning of Highway Soft Rock Slope Group Using Fuzzy-Based Machine Learning C. Zhou et al. 10.3390/su14063367
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4. Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain M. Riaz et al. 10.1177/03091333221113660
5. Heavy metal concentrations in the soil near illegal landfills in the vicinity of agricultural areas—artificial neural network approach S. Štrbac et al. 10.1007/s11368-023-03637-1
6. Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia S. Bachri et al. 10.3390/geosciences11010004
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10. Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem J. Xiong et al. 10.3390/su11174781
11. Combining geophysical methods, drilling, and monitoring techniques to investigate carbonaceous shale landslides along a railway line: a case study on Jiheng Railway, China M. Su et al. 10.1007/s10064-021-02365-5
12. Ecological security assessment of urban park landscape using the DPSIR model and EW-PCA method Y. Xu et al. 10.1007/s10668-024-04472-1
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18. Quantitative study on the relationship between the transverse thickness difference of cold-rolled silicon strip and incoming section profile based on the mechanism-intelligent model D. Wang et al. 10.1051/metal/2020090
19. Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region Y. Duan et al. 10.1007/s11069-021-04946-9
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21. Investigation on strain characteristic of buried natural gas pipeline under longitudinal landslide debris flow H. Ma et al. 10.1016/j.jngse.2020.103708
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23. Spatial Vulnerability Assessment for Mountain Cities Based on the GA-BP Neural Network: A Case Study in Linzhou, Henan, China Y. Duan et al. 10.3390/land13060825
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26. Evaluation of road blockage induced by seismic landslides under 2021 MS6.4 Yangbi earthquake Y. Wu et al. 10.1007/s12665-023-11319-x
27. A High-Resolution Spatial Distribution-Based Integration Machine Learning Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China Y. Hao et al. 10.3390/ijgi12100404
28. Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions Z. Lu et al. 10.3390/app14219639
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30. A progressive framework combining unsupervised and optimized supervised learning for debris flow susceptibility assessment Y. Liu et al. 10.1016/j.catena.2023.107560
31. Integrated Risk Assessment of Mountainous Long-Distance Oil and Gas Pipelines Based on Multisource Spatial Data B. Wang et al. 10.1021/acsomega.4c02086
32. Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh M. Rahman et al. 10.1016/j.gsf.2020.09.022
33. Research on landslide hazard assessment in data-deficient areas: a case study of Tumen City, China X. Li et al. 10.1007/s11600-023-01057-w
34. A hybrid machine learning model for landslide-oriented risk assessment of long-distance pipelines H. Wen et al. 10.1016/j.jenvman.2023.118177
35. Risk Assessment of Landslide Collapse Disasters along National Highways Based on Information Quantity and Random Forest Coupling Methods: A Case Study of the G331 National Highway Z. Nie et al. 10.3390/ijgi12120493