Building Damage Classification
Building Damage Classification is a methodological framework that categorizes the structural deterioration of buildings resulting from blast events according to predefined levels of severity and observable failure modes.
286
Publications
12.4K
Citations
967
Authors
407
Institutions
Publications per year
2017–2026
159
Parents
286
Classifying earthquake damage to buildings using machine learning
Sujith Mangalathu, Han Sun, Chukwuebuka C. Nweke et al. · Earthquake Spectra · 2019 · 292 citations
Anand Vetrivel, M. Gerke, Norman Kerle et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2015 · 166 citations · Full text
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407

Tohoku University
Sendai, Japan
12 h-index
33 publications
1.3K citations

University of Twente
Enschede, The Netherlands
10 h-index
35 publications
2.9K citations
Tokyo Institute of Technology
Tokyo, Japan
7 h-index
10 publications
319 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
22 publications
1.3K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
7 h-index
12 publications
430 citations

Chiba University
Chiba, Japan
6 h-index
11 publications
302 citations

University of Canterbury
Christchurch, New Zealand
6 h-index
14 publications
787 citations

Bauhaus-Universität Weimar
Weimar, Germany
6 h-index
19 publications
868 citations
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20 publications · 1.2K citations
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11 publications · 806 citations
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8 publications · 355 citations
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7 publications · 155 citations
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7 publications · 240 citations
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