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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:

Automated steel surface defect detection and classification using a new deep learning-based approach
Kürşat Demir, Mustafa Ay, Mehmet Çavaş, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 8389-8406
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion
Yang Yu, Azadeh Noori Hoshyar, Bijan Samali, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18697-18718
Closed Access | Times Cited: 56
A Real-Time Green and Lightweight Model for Detection of Liquefied Petroleum Gas Cylinder Surface Defects Based on YOLOv5
Burhan Duman
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 458-458
Open Access | Times Cited: 2
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Dongxu Bai, Gongfa Li, Du Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107697-107697
Closed Access | Times Cited: 29
Precise Detection for Dense PCB Components Based on Modified YOLOv8
Ling Qin, Nor Ashidi Mat Isa, Mohd Shahrimie Mohd Asaari
IEEE Access (2023) Vol. 11, pp. 116545-116560
Open Access | Times Cited: 28
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, et al.
IEEE Access (2024) Vol. 12, pp. 121449-121479
Open Access | Times Cited: 12
Evolution of Digital Twin Frameworks in Bridge Management: Review and Future Directions
Vahid Mousavi, Maria Rashidi, Masoud Mohammadi, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1887-1887
Open Access | Times Cited: 11
Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm
Mehmet Yılmaz, Erkut Yalçın, Saif Kifah, et al.
IEEE Access (2024) Vol. 12, pp. 6604-6614
Open Access | Times Cited: 8
Multi-Scale Lightweight Neural Network for Steel Surface Defect Detection
Yichuan Shao, Shuo Fan, Haijing Sun, et al.
Coatings (2023) Vol. 13, Iss. 7, pp. 1202-1202
Open Access | Times Cited: 20
Deep learning-based automated steel surface defect segmentation: a comparative experimental study
Dejene M. Sime, Guotai Wang, Zhi Zeng, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 2995-3018
Closed Access | Times Cited: 13
Detection of brain tumor with a pre-trained deep learning model based on feature selection using MR images
Kürşat Demir, Berna Arı, Fatih Demir
Firat University Journal of Experimental and Computational Engineering (2023) Vol. 2, Iss. 1, pp. 23-31
Open Access | Times Cited: 11
A Survey of Vision-Based Methods for Surface Defects’ Detection and Classification in Steel Products
Alaa Aldein M. S. Ibrahim, Jules‐Raymond Tapamo
Informatics (2024) Vol. 11, Iss. 2, pp. 25-25
Open Access | Times Cited: 4
Defect attention-based lightweight real-time adaptable surface defect analysis
İbrahim Delibaşoğlu, Duygu Bağcı Daş, Oğuzhan Daş
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
Lightweight defect detection network based on steel strip raw images
Yue Huang, Zhen Chen, Zhaoxiang Chen, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110179-110179
Closed Access
Weak surface defect detection for production-line plastic bottles with multi-view imaging system and LFF YOLO
Heng Wu, Lingxiang Zeng, Meiyun Chen, et al.
Optics and Lasers in Engineering (2024) Vol. 181, pp. 108369-108369
Closed Access | Times Cited: 2
Improved Deeplabv3+ Based Steel Surface Defect Segmentation
Emre Güçlü, İlhan Aydın, Erhan Akın
(2024), pp. 609-613
Closed Access | Times Cited: 2
Recognition of Steel Surface Defects Based on Broad Learning System
Zhonghao Qiu, Xixin Yang, Yuanlin Guan, et al.
Academic Journal of Computing & Information Science (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 1
Systematic Review of Steel Surface Defect Detection Methods on the Open Access Datasets of Severstal and the Northeastern University (NEU)
Emine Aşar, Atilla Özgür
Engineering materials (2024), pp. 37-72
Closed Access | Times Cited: 1
CNN and Random Forest Fusion for Enhanced Steel Defect Classification
Savita Rawat, Deepak Banerjee, Priyanshi Aggarwal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
SiM-YOLO: A Wood Surface Defect Detection Method Based on the Improved YOLOv8
Honglei Xi, Rijun Wang, Fulong Liang, et al.
Coatings (2024) Vol. 14, Iss. 8, pp. 1001-1001
Open Access | Times Cited: 1
DBCW-YOLO: an advanced yolov5 framework for precision detection of surface defects in steel
Kannan Subburaj, Alanoud Al Mazroa, Faiz Alotaibi, et al.
Matéria (Rio de Janeiro) (2024) Vol. 29, Iss. 4
Open Access | Times Cited: 1
Surface depression recognition of spring plate based on feature construction and improved AdaBoost algorithm
Kai Xu, H. Zhang, Zhenxi Wang, et al.
AIP Advances (2024) Vol. 14, Iss. 3
Open Access
A Survey of Deep learning in Advancing Steel Industry Standards
Hamed Aghapanah, Ali Saeeidi Rad, Reza Rasti
(2024)
Closed Access
Bsa-Yolo: Background Suppression Attention Enhanced Asymptotic Feature Pyramid Network for Defect Detection
Haifeng Zhang, Yan Zhang, Qingqing Huang, et al.
(2024)
Closed Access
MDC-Net: Multimodal Detection and Captioning Network for Steel Surface Defects
Anthony Ashwin Peter Chazhoor, Shanfeng Hu, Bin Gao, et al.
Communications in computer and information science (2024), pp. 316-333
Closed Access
Metal Surface Defect Classification Using Custom Convolutional Neural Network with Self Attention Mechanism
Hemprasad Yashwant Patil, P Harshitha, S. Monisha, et al.
(2024), pp. 1-5
Closed Access
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