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

Authors

271

  1. CW
    Chao Wu

    Central South University, China

    6 publications · 303 citations

    6

    h-index

  2. BW
    Bing Wang

    Central South University, China

    4 publications · 155 citations

    4

    h-index

  3. LH
    Lang Huang

    Central South University, China

    4 publications · 229 citations

    4

    h-index

  4. AA
    Anuoluwapo Ajayi

    University of the West of England, United Kingdom

    2 publications · 94 citations

    2

    h-index

  5. YW
    Yuanjie Wang

    Central South University, China

    2 publications · 64 citations

    2

    h-index

1–5 of 271

Venues

  1. Safety Science

    10 publications · 644 citations

    10

    h-index

  2. Reliability Engineering & System Safety

    5 publications · 277 citations

    5

    h-index

  3. 3

    h-index

  4. Journal of Cleaner Production

    3 publications · 160 citations

    3

    h-index

  5. Process Safety and Environmental Protection

    2 publications · 104 citations

    2

    h-index

1–5