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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:

A Systematic Review on Deep Learning with CNNs Applied to Surface Defect Detection
Esteban Cumbajin, Nuno Rodrigues, Paulo Manuel Costa, et al.
Journal of Imaging (2023) Vol. 9, Iss. 10, pp. 193-193
Open Access | Times Cited: 21

Showing 21 citing articles:

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: 22
Advancing Crack Detection Using Deep Learning Solutions for Automated Inspection of Metallic Surfaces
Snehal Rathi, Omkar Mirajkar, Shubhangi Shukla, et al.
Indian Journal of Information Sources and Services (2024) Vol. 14, Iss. 1, pp. 93-100
Open Access | Times Cited: 9
Smart Casting Process Defects Detection System Framework
Oussama Jouini, Mostafa Ibrahim Deiab, Ibrahim Deiab
(2025)
Closed Access
Machine Learning for Defect Condition Rating of Wall Wooden Columns in Ancient Buildings
Yufeng Li, Wu Ouyang, Zhenbo Xin, et al.
Case Studies in Construction Materials (2025), pp. e04458-e04458
Open Access
A Hybrid System for Defect Detection on Rail Lines through the Fusion of Object and Context Information
Alexey Zhukov, Alain Rivero, Jenny Benois‐Pineau, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1171-1171
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 Real-Time Automated Defect Detection System for Ceramic Pieces Manufacturing Process Based on Computer Vision with Deep Learning
Esteban Cumbajin, Nuno Rodrigues, Paulo Manuel Costa, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 232-232
Open Access | Times Cited: 9
Defect Detection Algorithm for Battery Cell Casings Based on Dual-Coordinate Attention and Small Object Loss Feedback
Tianjian Li, Jiale Ren, Qingping Yang, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 601-601
Open Access | Times Cited: 2
Lightweight rail surface defect detection algorithm based on an improved YOLOv8
Xu CanYang, Yingying Liao, Liu Yongqiang, et al.
Measurement (2024) Vol. 242, pp. 115922-115922
Closed Access | Times Cited: 2
Productivity Assessment of the Yolo V5 Model in Detecting Road Surface Damages
Vu Hong Son Pham, Khoi Van Tien Nguyen
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12445-12445
Open Access | Times Cited: 6
Performance review of RTI IMS software for automatic road surface damages identification
Vu Hong Son Pham, Khoi Van Tien Nguyen
International Journal of Construction Management (2024), pp. 1-17
Closed Access | Times Cited: 1
Prediction for incremental damage on optics from final optics assembly in ICF high power laser facility
Xueyan Hu, Wei Zhou, Huaiwen Guo, et al.
(2024)
Open Access | Times Cited: 1
Improved Surface Defect Classification from a Simple Convolutional Neural Network by Image Preprocessing and Data Augmentation
Francisco López de la Rosa, Lucía Moreno-Salvador, José L. Gómez-Sirvent, et al.
Lecture notes in computer science (2024), pp. 23-32
Closed Access | Times Cited: 1
Findings on Machine Learning for Identification of Archaeological Ceramics: A Systematic Literature Review
Ziyao Ling, Giovanni Delnevo, Paola Salomoni, et al.
IEEE Access (2024) Vol. 12, pp. 100167-100185
Open Access | Times Cited: 1
Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments
Reenu Mohandas, Patrick G. Mongan, M. Hayes
Sensors (2024) Vol. 24, Iss. 20, pp. 6553-6553
Open Access | Times Cited: 1
ODNet: A High Real-Time Network Using Orthogonal Decomposition for Few-Shot Strip Steel Surface Defect Classification
He Zhang, Han Liu, Runyuan Guo, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4630-4630
Open Access
Paint defect detection system based on improved algorithm
J. Zhu, Bo Zhang, Ying Ying Zhong, et al.
(2024), pp. 28-33
Closed Access
A Real-Time Dual-Task Defect Segmentation Network for Grinding Wheels with Coordinate Attentioned-ASP and Masked Autoencoder
Yifan Li, Chuanbao Li, Ping Zhang, et al.
Machines (2024) Vol. 12, Iss. 4, pp. 276-276
Open Access
Computer vision‐based automated defect detection in ceramic bricks
M. Yu. Kataev, Larisa Bulysheva
Systems Research and Behavioral Science (2024)
Closed Access
Editorial for the Special Issue on “Feature Papers in Section AI in Imaging”
Antonio Fernández‐Caballero
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 214-214
Open Access
State-of-the-art deep learning techniques for object identification in practical applications
Miriyala Kanthirekha, R. Padmaja
i-manager’s Journal on Pattern Recognition (2024) Vol. 11, Iss. 2, pp. 31-31
Closed Access
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