Can different machine learning methods have consistent interpretations of DEM-based factors in shallow landslide susceptibility assessments? Article Swipe
Fanshu Xu
,
Qiang Xu
,
Chuanhao Pu
,
Xiaochen Wang
,
Pengcheng Xu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.jrmge.2025.01.047
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.jrmge.2025.01.047
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jrmge.2025.01.047
- OA Status
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- Cited By
- 1
- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4409328190Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jrmge.2025.01.047Digital Object Identifier
- Title
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Can different machine learning methods have consistent interpretations of DEM-based factors in shallow landslide susceptibility assessments?Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-01Full publication date if available
- Authors
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Fanshu Xu, Qiang Xu, Chuanhao Pu, Xiaochen Wang, Pengcheng XuList of authors in order
- Landing page
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https://doi.org/10.1016/j.jrmge.2025.01.047Publisher landing page
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.jrmge.2025.01.047Direct OA link when available
- Concepts
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Landslide, Geology, Machine learning, Artificial intelligence, Seismology, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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85Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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