The DOI matches its Crossref record; 156 of the 159 references it cites were found in a registry or an index.
Recent advances in surface defect inspection of industrial products using deep learning techniques
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“The first stage of manual recognition methods refer to the detection of steel surface defects by quality inspectors, mainly by virtue of manual experience and subjective judgment: there are low efficiency, labor intensity, low precision, poor real-time, and other defects [34].”
From Steel Surface Defect Recognition: A Survey (2022) · cites this paper as [34]
Citations
Cites
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Cited by
Sorted by citations
Steel Surface Defect Recognition: A Survey
Wen, X., Shan, J., He, Y., & Song, K. (2022) · Coatings · doi:10.3390/coatings13010017 · Cited by 210
Hütten, N., Gomes, M. A., Hölken, F., Andricevic, K., Meyes, R., & Meisen, T. (2024) · Applied System Innovation · doi:10.3390/asi7010011 · Cited by 211
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Cui, Y., Liu, Z., & Lian, S. (2023) · IEEE Access · doi:10.1109/access.2023.3282993 · Cited by 185
Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey
Prunella, M., Scardigno, R. M., Buongiorno, D., Brunetti, A., Longo, N., Carli, R., Dotoli, M., & Bevilacqua, V. (2023) · IEEE Access · doi:10.1109/access.2023.3271748 · Cited by 174
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Islam, M. R., Zamil, M. Z. H., Rayed, M. E., Kabir, M. M., Mridha, M. F., Nishimura, S., & Shin, J. (2024) · IEEE Access · doi:10.1109/access.2024.3453664 · Cited by 171
Metadata
- Authors
- Zheng, X., Zheng, S., Kong, Y., & Chen, J.
- Affiliations
- Hangzhou Dianzi University (CN)
- Corresponding author
- Zheng, Xiaoqing
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2021-01-25
- Volume
- 113
- Issue
- 1-2
- Pages
- 35-58
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W3124804470
- Semantic Scholar
- f8a9dcf96f390ae76fb744cc8c3935fa3ddb2468
- Cited by
- 287
- References
- 159
- Citations by year
- 2026: 62 · 2025: 79 · 2024: 68 · 2023: 44 · 2022: 30 · 2021: 4
- FWCI
- 18.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The International Journal of Advanced Manufacturing Technology (publishedVersion)
- Funders
- National Natural Science Foundation of China (U1609212)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- surface defect detection, automated visual inspection, machine vision, deep learning, industrial inspection, semiconductor manufacturing, steel industry, textile industry, defect detection algorithm
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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