Automated Defect Recognition

Automated Defect Recognition is a computational method within the field of facade diagnostics that enables the systematic identification and classification of structural anomalies in building envelopes through machine-driven analysis of visual or sensor-based data.

292

Publications

13.5K

Citations

1.1K

Authors

347

Institutions

Publications per year

2017–2026

210

Authors

1.1K

  1. XL
    Xinyu Li

    Huazhong University of Science and Technology, China

    8 publications · 419 citations

    8

    h-index

  2. LG
    Liang Gao

    Huazhong University of Science and Technology, China

    8 publications · 419 citations

    8

    h-index

  3. YG
    Yiping Gao

    Huazhong University of Science and Technology, China

    6 publications · 339 citations

    6

    h-index

  4. JY
    Jianbo Yu

    Tongji University, China

    5 publications · 413 citations

    5

    h-index

  5. GC
    Gongfa Chen

    Guangdong University of Technology, China

    3 publications · 130 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Automation in Construction

    12 publications · 868 citations

    12

    h-index

  2. IEEE Access

    11 publications · 646 citations

    11

    h-index

  3. Measurement

    9 publications · 367 citations

    9

    h-index

  4. Sensors

    8 publications · 727 citations

    8

    h-index

  5. 8

    h-index

1–5