Crack Image Analysis

Crack Image Analysis is a computational method in structural health monitoring that systematically processes and interprets visual data to detect, segment, and quantify crack characteristics in materials, distinguishing itself through automated feature extraction and measurement tailored specifically to crack morphology.

848

Publications

47.9K

Citations

2.8K

Authors

892

Institutions

Publications per year

2017–2026

551

Authors

2.8K

  1. GL
    Gang Li

    Chang'an University, China

    6 publications · 385 citations

    6

    h-index

  2. SS
    Sung‐Han Sim

    Ulsan National Institute of Science and Technology, South Korea

    6 publications · 408 citations

    6

    h-index

  3. LD
    Lu Deng

    Hunan University, China

    6 publications · 421 citations

    6

    h-index

  4. FH
    François Hild

    Centre National de la Recherche Scientifique, France

    6 publications · 180 citations

    6

    h-index

  5. QL
    Qingquan Li

    Shenzhen University, China

    6 publications · 1.4K citations

    6

    h-index

1–5 of 2.8K

Venues

  1. Automation in Construction

    62 publications · 6.3K citations

    44

    h-index

  2. Construction and Building Materials

    38 publications · 3.2K citations

    28

    h-index

  3. Journal of Computing in Civil Engineering

    17 publications · 2.9K citations

    17

    h-index

  4. Sensors

    21 publications · 1.2K citations

    17

    h-index

  5. Computer-Aided Civil and Infrastructure Engineering

    CACAIE · 19 publications · 1.7K citations

    17

    h-index

1–5