Crack Detection
Crack Detection is a structural integrity assessment method that distinguishes itself by identifying the presence, location, and extent of fissures in engineered materials or components through non-destructive evaluation techniques within the domains of damage tolerance, industrial inspection, and structural health monitoring.
3.8K
Publications
196.5K
Citations
10.5K
Authors
2.2K
Institutions
Publications per year
2017–2026
1.9K
3.8K
Road crack detection using deep convolutional neural network
Lei Zhang, Fan Yang, Yimin D. Zhang et al. · 2016 · 1.5K citations
1–5 of 3.8K
10.5K
24
h-index
Korea Advanced Institute of Science and Technology, South Korea
34 publications · 1.8K citations
23
h-index
Missouri University of Science and Technology, United States
22 publications · 940 citations
17
h-index
14
h-index
14
h-index
1–5 of 10.5K
2.2K

Southeast University
Nanjing, China
32 h-index
153 publications
8.3K citations
Chang'an University
Xi'an, China
31 h-index
157 publications
10.4K citations

Hohai University
Nanjing, China
29 h-index
153 publications
6K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
29 h-index
126 publications
6.4K citations
Dalian University of Technology
Dalian, China
28 h-index
144 publications
6.1K citations

Centre National de la Recherche Scientifique
Paris, France
26 h-index
164 publications
6.9K citations

University of Waterloo
Waterloo, Canada
25 h-index
62 publications
4.1K citations
Tsinghua University
Beijing, China
24 h-index
92 publications
5.2K citations
1–8 of 2.2K
86 publications · 10.3K citations
52
h-index
JSV · 78 publications · 7.1K citations
47
h-index
72 publications · 7.4K citations
44
h-index
137 publications · 6.8K citations
43
h-index
CACAIE · 57 publications · 8.1K citations
43
h-index
1–5