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:

Deep ensemble transfer learning-based approach for classifying hot-rolled steel strips surface defects
Abdelmalek Bouguettaya, Zoheir Mentouri, Hafed Zarzour
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 11-12, pp. 5313-5322
Open Access | Times Cited: 21

Showing 21 citing articles:

Steel Surface Defect Detection Algorithm Based on YOLOv8
Xuan Song, Shuzhen Cao, Jingwei Zhang, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 988-988
Open Access | Times Cited: 18

A Transfer Residual Neural Network Based on ResNet-50 for Detection of Steel Surface Defects
Luying Zhang, Yuchen Bian, Peng Jiang, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5260-5260
Open Access | Times Cited: 25

YOLO-DBL: a multi-dimensional optimized model for detecting surface defects in steel
Ke Xu, Donglin Zhu, Chenyang Shi, et al.
Journal of Membrane Computing (2025)
Closed Access | Times Cited: 1

Improving Pipeline Magnetic Flux Leakage (MFL) Detection Performance With Mixed Attention Mechanisms (AMs) and Deep Residual Shrinkage Networks (DRSNs)
Luying Zhang, Yuchen Bian, Peng Jiang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5162-5171
Closed Access | Times Cited: 5

Frequency-domain multi-scale Kolmogorov-Arnold representation attention network for mixed-type wafer defect recognition
Qihang Huang, Fan Zhang, Yuqian Zhao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110121-110121
Closed Access

Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse reflection analysis and k-means clustering
Alaaeldin Mahmoud, Mohamed Kassem, Ahmed Elrewainy, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 9-10, pp. 4935-4951
Open Access | Times Cited: 2

CNN-based hot-rolled steel strip surface defects classification: a comparative study between different pre-trained CNN models
Abdelmalek Bouguettaya, Hafed Zarzour
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 1-2, pp. 399-419
Open Access | Times Cited: 2

Development of Hybrid Models Based on AlexNet and Machine Learning Approaches for Strip Steel Surface Defect Classification
Adel Boudiaf, S. Benlahmidi, Amine Dahane, et al.
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 3, pp. 1376-1394
Closed Access | Times Cited: 2

Steel surface defect recognition using classifier combination
Rachid Zaghdoudi, Abdelmalek Bouguettaya, Adel Boudiaf
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 7-8, pp. 3489-3505
Open Access | Times Cited: 1

A reusable AI-enabled defect detection system for railway using ensembled CNN
Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 20, pp. 9723-9740
Closed Access | Times Cited: 1

ECM-YOLO: A real-time detection method of steel surface defects based on multi-scale convolution
Chunman Yan, Ee Xu
Journal of the Optical Society of America A (2024) Vol. 41, Iss. 10, pp. 1905-1905
Closed Access | Times Cited: 1

Using Anchor-Free Object Detectors to Detect Surface Defects
Jiaxue Liu, Chao Zhang, Jianjun Li
Processes (2024) Vol. 12, Iss. 12, pp. 2817-2817
Open Access | Times Cited: 1

A Hybrid Deep Learning and Machine Learning-Based Approach to Classify Defects in Hot Rolled Steel Strips for Smart Manufacturing
Tajmal Hussain, Jungpyo Hong, Jongwon Seok
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 2, pp. 2099-2119
Open Access

Strip Steel Surface Quality Detection System Based on YOLOv5
Xiaoli Zhang, Li Wu, Yali Guo, et al.
Integrated ferroelectrics (2024) Vol. 240, Iss. 4-5, pp. 858-868
Closed Access

A Novel Integral Image Recognition Method and System with Verification Measurement by Sensors for Hot Steel-Bar Stack Accident Detection
Wen Ren, Kun‐Chieh Wang, Long Wu, et al.
Sensors and Materials (2024) Vol. 36, Iss. 6, pp. 2297-2297
Open Access

A zero-shot learning for property prediction of wear-resistant steel based on Multiple-source
Yuan Liu, Shizhong Wei, Tao Jiang, et al.
Materials Research Express (2023) Vol. 10, Iss. 11, pp. 116503-116503
Open Access | Times Cited: 1

RDDPA: Real-time Defect Detection via Pruning Algorithm on Steel Surface
Kun Lu, Xuejuan Pan, Chunfeng Mi, et al.
ISIJ International (2023) Vol. 64, Iss. 6, pp. 1019-1028
Open Access | Times Cited: 1

A Deep Learning‐Based Approach to the Estimation of Jominy Profile of Medium‐Carbon Quench Hardenable Steels
Valentina Colla, Marco Vannucci, Ismael Matino, et al.
steel research international (2023) Vol. 95, Iss. 2
Open Access

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