Safety Data Analytics
Safety Data Analytics is a systematic computational methodology that distinguishes itself by enabling the identification, interpretation, and prediction of safety-related patterns and risks in mining environments through the structured analysis of operational, environmental, and human-factor data.
74
Publications
2.8K
Citations
271
Authors
146
Institutions
Publications per year
2017–2026
52
Parents
74
An improved text mining approach to extract safety risk factors from construction accident reports
Na Xu, Ling Ma, Qing Liu et al. · Safety Science · 2021 · 187 citations · Full text
1–5 of 74
271
6
h-index
4
h-index
4
h-index
2
h-index
2
h-index
1–5 of 271
146

Central South University
Changsha, China
9 h-index
25 publications
1.1K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
3 publications
98 citations

Queensland University of Technology
Brisbane, Australia
3 h-index
7 publications
208 citations
China University of Mining and Technology
Xuzhou, China
3 h-index
11 publications
945 citations

China University of Petroleum, Beijing
Beijing, China
2 h-index
8 publications
296 citations
University of the West of England
Bristol, United Kingdom
2 h-index
14 publications
658 citations

Hunan University
Changsha, China
2 h-index
2 publications
39 citations
University of Washington
Seattle, United States
2 h-index
2 publications
163 citations
1–8 of 146
10 publications · 644 citations
10
h-index
5 publications · 277 citations
5
h-index
3 publications · 79 citations
3
h-index
3 publications · 160 citations
3
h-index
2 publications · 104 citations
2
h-index
1–5