Text-based Hazard Classification

Text-Based Hazard Classification is a systematic method for identifying, categorizing, and assessing potential hazards through the analysis of textual data, distinguishing it from other hazard classification approaches by its exclusive reliance on linguistic or written information as the primary source for risk determination.

50

Publications

3K

Citations

174

Authors

77

Institutions

Publications per year

2017–2026

39

Authors

174

  1. JB
    July Bias Macêdo

    Universidade Federal de Pernambuco, Brazil

    2 publications · 63 citations

    2

    h-index

  2. SH
    Shuai Han

    Tianjin University, China

    2 publications · 62 citations

    2

    h-index

  3. HW
    Hassan Wasswa

    University of Canberra, Australia

    2 publications · 30 citations

    2

    h-index

  4. DT
    Dan Tian

    Tianjin University, China

    2 publications · 62 citations

    2

    h-index

  5. LP
    Leysia Palen

    University of Colorado Boulder, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 174

Venues

  1. Process Safety and Environmental Protection

    5 publications · 280 citations

    4

    h-index

  2. Safety Science

    3 publications · 259 citations

    3

    h-index

  3. Automation in Construction

    3 publications · 720 citations

    3

    h-index

  4. Advanced Engineering Informatics

    2 publications · 222 citations

    2

    h-index

  5. 2

    h-index

1–5