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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Wheel hub defect detection based on the DS-Cascade RCNN
Shuhong Cheng, Jiaxin Lu, Mutian Yang, et al.
Measurement (2022) Vol. 206, pp. 112208-112208
Closed Access | Times Cited: 20

Showing 20 citing articles:

Deep CNN-based visual defect detection: Survey of current literature
Shashi Bhushan Jha, Radu F. Babiceanu
Computers in Industry (2023) Vol. 148, pp. 103911-103911
Closed Access | Times Cited: 69
A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications
Rahima Khanam, Muhammad Hussain, Richard Hill, et al.
IEEE Access (2024) Vol. 12, pp. 94250-94295
Open Access | Times Cited: 21
A New Dual-Branch Network With Global Information for the Surface Defect Detection on Solar PV Wafer
Lei Zuo, Shaoquan Su, Fan Shi-hang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 9197-9207
Closed Access | Times Cited: 8
DCUE-YOLO: A Lightweight Model in Industrial Defect Detection
Jiajin Zhong, H. Wang, J. H. Zou
Research Square (Research Square) (2025)
Closed Access
Study on end-to-end detection method for surface defects of automotive sheet metal parts
Wei Dai, Juncheng Lv, Rui Xiang, et al.
Journal of Real-Time Image Processing (2025) Vol. 22, Iss. 2
Closed Access
Dual-branch information extraction and local attention anchor-free network for defect detection
Xiaobin Wang, Qiang Zhang, Chengjun Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Sustainable Machine Vision for Industry 4.0: A Comprehensive Review of Convolutional Neural Networks and Hardware Accelerators in Computer Vision
Muhammad Hussain
AI (2024) Vol. 5, Iss. 3, pp. 1324-1356
Open Access | Times Cited: 4
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer
De-Jun Cheng, Shun Wang, Han-Bing Zhang, et al.
Computers in Industry (2024) Vol. 162, pp. 104138-104138
Closed Access | Times Cited: 3
An efficient defect detection method for nuclear-fuel rod grooves through weakly supervised learning
Mengyuan Li, Ning Chen, Xinyu Suo, et al.
Measurement (2023) Vol. 222, pp. 113708-113708
Closed Access | Times Cited: 7
Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features
Han-Bing Zhang, Chunyan Zhang, De-Jun Cheng, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1663-1663
Open Access | Times Cited: 2
Data-Driven Semantic Segmentation Method for Detecting Metal Surface Defects
Zhao Zhang, Weibo Wang, Xiaoyan Tian, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15676-15689
Closed Access | Times Cited: 2
Digital-Twin-Based Monitoring System for Slab Production Process
Tianjie Fu, Pei-yu Li, Chenke Shi, et al.
Future Internet (2024) Vol. 16, Iss. 2, pp. 59-59
Open Access | Times Cited: 1
MBA-DNet: A mask block attention-based foreign matter detection network for tobacco packages
Xiaobin Wang, Feixiang Shen, Chengjun Chen, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 3
Closed Access | Times Cited: 1
WITHDRAWN: AW-YOLOv8：A novel deep learning model for detecting insect pests in cotton growth systems
Xi Chen
Heliyon (2024), pp. e32405-e32405
Open Access | Times Cited: 1
Farmland pest recognition based on Cascade RCNN Combined with Swin-Transformer
Ruikang Xu, Jiajun Yu, Lening Ai, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304284-e0304284
Open Access | Times Cited: 1
Dense metal corrosion depth estimation
Yanping Li, Honggang Li, Yong Liang Guan, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 3
Progressive Frequency-Guided Depth Model with Adaptive Preprocessing for Casting Defect Detection
Yingbo Wang, Fengyuan Zuo, Shuai Zhang, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 149-149
Open Access
DES-YOLO: a novel model for real-time detection of casting surface defects
Chengjun Wang, Jiaqi Hu, Chaoyu Yang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2224-e2224
Open Access
Rigid tank guide fault detection algorithm based on improved YOLOv7
Fei Du, Dandan Mo, Tianbing Ma, et al.
Journal of Real-Time Image Processing (2024) Vol. 22, Iss. 1
Closed Access
Anomaly Detection in Annular Metal Turning Surfaces Based on a Priori Information and a Multi-Scale Self-Referencing Template
Xinyu Suo, Jie Zhang, Jian Liu, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6807-6807
Open Access | Times Cited: 1
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