Toward intelligent manufacturing: label characters marking and recognition method for steel products with machine vision
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In manufacturing, YOLO can detect and inspect defects in products, ensuring adherence to quality standards.
“In manufacturing, it can detect and inspect defects in products, ensuring adherence to quality standards [53].”
From YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO (2024) · cites this paper as [53]
Cites
An intelligent real-time vision system for surface defect detection
Jia, H., Murphey, Y. L., Shi, J., & Chang, T.-S. (2004) · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · doi:10.1109/icpr.2004.1334512 · Cited by 174 · see citing works
Parameterized logarithmic framework for image enhancement
Panetta, K., Agaian, S., Zhou, Y., & Wharton, E. J. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2058847 · Cited by 143 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO
Hussain, M. (2024) · IEEE Access · doi:10.1109/access.2024.3378568 · Cited by 492 · see citing works
- Authors
- Zhao, Q.-J., Cao, P., & Tu, D.-W.
- Affiliations
- Shanghai University (CN)
- ORCID
- Cao, Peng
- Venue
- Advances in Manufacturing
- Published
- 2014-03
- Volume
- 2
- Issue
- 1
- Pages
- 3-12
- ISSN
- 2095-3127 (ISSN-L)
- 2195-3597
- OpenAlex
- W1551683612
- Cited by
- 35
- References
- 2
- Citations by year
- 2025: 5 · 2024: 6 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 4 · 2017: 2 · 2016: 2 · 2014: 1
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Advances in Manufacturing (publishedVersion)
- Funders
- National Natural Science Foundation of China (51075252, 61101177)
- Baosteel Group Corporation
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Physical Sciences › Engineering › Media Technology › Vehicle License Plate Recognition
- Keywords
- steel products, character recognition, machine vision, smart manufacturing, material coding
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review