Sensor-Based Assessment is a methodological framework within bridge condition assessment that utilizes data acquired from physical sensors to evaluate structural integrity, distinguished from other assessment approaches by its reliance on real-time, in-situ monitoring technologies for quantifying performance and detecting deterioration.
250
Publications
11.4K
Citations
846
Authors
337
Institutions
Publications per year
2017–2026
133
Parents
Publications
250
1–5 of 250
Authors
846
- FN
7
h-index
- EJ
7
h-index
- LD
6
h-index
- FM
6
h-index
- BG
5
h-index
1–5 of 846
Institutions
337
Southeast University
Nanjing, China
11 h-index
30 publications
1.3K citations
University College Dublin
Dublin, Ireland
11 h-index
23 publications
826 citations
Hunan University
Changsha, China
7 h-index
13 publications
742 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
12 publications
396 citations
Dalian University of Technology
Dalian, China
6 h-index
14 publications
596 citations
Louisiana State University
Baton Rouge, United States
5 h-index
9 publications
421 citations
University of Central Florida
Orlando, United States
5 h-index
11 publications
689 citations
Texas A&M University
College Station, United States
4 h-index
8 publications
170 citations
1–8 of 337
Venues
- Sensors
14 publications · 487 citations
13
h-index
- Journal of Bridge Engineering
14 publications · 634 citations
13
h-index
- Engineering Structures
10 publications · 1.4K citations
11
h-index
- Structural Health Monitoring
SHM · 8 publications · 554 citations
9
h-index
- Automation in Construction
8 publications · 451 citations
9
h-index
1–5