Visual Hazard Recognition

Visual Hazard Recognition is a method within the field of hazard recognition that specifically identifies potential dangers through the analysis of visual information, distinguishing itself by its reliance on visual data interpretation to detect hazardous conditions.

92

Publications

4.2K

Citations

265

Authors

117

Institutions

Publications per year

2017–2026

56

Authors

265

  1. AA
    Alex Albert

    North Carolina State University, United States

    10 publications · 839 citations

    10

    h-index

  2. IJ
    Idris Jeelani

    University of Florida, United States

    7 publications · 587 citations

    7

    h-index

  3. PL
    Pin‐Chao Liao

    Tsinghua University, China

    7 publications · 219 citations

    7

    h-index

  4. KH
    Kevin Han

    North Carolina State University, United States

    7 publications · 465 citations

    7

    h-index

  5. BE
    Behzad Esmaeili

    George Mason University, United States

    5 publications · 112 citations

    5

    h-index

1–5 of 265

Venues

  1. 7

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  2. 4

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  3. Advanced Engineering Informatics

    4 publications · 255 citations

    4

    h-index

  4. Safety Science

    4 publications · 430 citations

    4

    h-index

  5. Automation in Construction

    4 publications · 300 citations

    4

    h-index

1–5