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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:

Applications of deep learning for fault detection in industrial cold forging
Andrew Glaeser, Vignesh Selvaraj, Soo Young Lee, et al.
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4826-4835
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine learning in manufacturing and industry 4.0 applications
Rahul Rai, Manoj Kumar Tiwari, Dmitry Ivanov, et al.
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4773-4778
Open Access | Times Cited: 345
Deep learning applications in manufacturing operations: a review of trends and ways forward
Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, et al.
Journal of Enterprise Information Management (2022) Vol. 36, Iss. 1, pp. 221-251
Closed Access | Times Cited: 53
Intelligent Operation Monitoring of an Ultra-Precision CNC Machine Tool Using Energy Data
Vignesh Selvaraj, Zhicheng Xu, Sangkee Min
International Journal of Precision Engineering and Manufacturing-Green Technology (2022) Vol. 10, Iss. 1, pp. 59-69
Open Access | Times Cited: 41
AIoT for sustainable manufacturing: Overview, challenges, and opportunities
Abdul Matin, Md Rafiqul Islam, Xianzhi Wang, et al.
Internet of Things (2023) Vol. 24, pp. 100901-100901
Closed Access | Times Cited: 36
Role and Applications of Artificial Intelligence and Machine Learning in Manufacturing Engineering: A Review
Sara Bunian, Meshari A. Al-Ebrahim, Amro A. Nour
Engineered Science (2024)
Open Access | Times Cited: 7
Machine Learning for Industry 4.0: A Systematic Review Using Deep Learning-Based Topic Modelling
Daniele Mazzei, Reshawn Ramjattan
Sensors (2022) Vol. 22, Iss. 22, pp. 8641-8641
Open Access | Times Cited: 34
Deep learning for the detection of machining vibration chatter
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem, et al.
Advances in Engineering Software (2023) Vol. 180, pp. 103445-103445
Open Access | Times Cited: 21
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7
Chatter detection and suppression in machining processes: a comprehensive analysis
Abdul Basit, Niaz Bahadur Khan, Sadaqat Ali, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 6, pp. 3751-3771
Closed Access | Times Cited: 6
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
Quantify production planning efficiency through predictive modeling in manufacturing systems
Simone Monaco, Daniele Apiletti, Andrea Francica, et al.
Computers & Industrial Engineering (2025), pp. 110919-110919
Closed Access
Comparison and assessment of machine learning approaches in manufacturing applications
K. Ramesh, M. N. Indrajith, Y. S. Prasanna, et al.
Industrial Artificial Intelligence (2025) Vol. 3, Iss. 1
Open Access
The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing
Ajit Sharma, Zhibo Zhang, Rahul Rai
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4960-4994
Closed Access | Times Cited: 39
Joint optimization strategy based on a three-state manufacturing system considering dynamic buffers
Liangxing Shi, Xiaolei Lv, Yalong Wang, et al.
International Journal of Production Economics (2025), pp. 109587-109587
Closed Access
Deep Learning for Anomaly Detection in CNC Machine Vibration Data: A RoughLSTM-Based Approach
Rasim Çekіk, Abdullah Turan
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3179-3179
Open Access
Review of AI-based methods for chatter detection in machining based on bibliometric analysis
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 122, Iss. 5-6, pp. 2161-2186
Open Access | Times Cited: 19
Research on Rolling Bearing Fault Diagnosis Method Based on Generative Adversarial and Transfer Learning
Xin Pei, Shaohui Su, Linbei Jiang, et al.
Processes (2022) Vol. 10, Iss. 8, pp. 1443-1443
Open Access | Times Cited: 16
Supply chain fraud prediction with machine learning and artificial intelligence
Mark Lokanan, Vikas Maddhesia
International Journal of Production Research (2024), pp. 1-28
Closed Access | Times Cited: 3
State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 1, pp. 147-160
Closed Access | Times Cited: 15
A Review of Data-Driven Intelligent Monitoring for Geological Drilling Processes
Sheng Du, Cheng Huang, Xian Ma, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2478-2478
Open Access | Times Cited: 2
Perception and reconstruction of temperature field in forgings based on physical model and CNN model
Miao Wan, Y.C. Lin, Ning-Fu Zeng, et al.
Measurement (2024) Vol. 242, pp. 116210-116210
Closed Access | Times Cited: 2
Data-driven models of crude distillation units for production planning and for operations monitoring
Jiannan Zhu, Chen Fan, Minglei Yang, et al.
Computers & Chemical Engineering (2023) Vol. 177, pp. 108322-108322
Closed Access | Times Cited: 6
Cascaded adaptive global localisation network for steel defect detection
Jianbo Yu, Wang Yan-shu, Qingfeng Li, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 13, pp. 4884-4901
Closed Access | Times Cited: 6
Fault Diagnosis of Imbalance and Misalignment in Rotor-Bearing Systems Using Deep Learning
Fayou Liu, Weijia Li, Yaozhong Wu, et al.
Polish Maritime Research (2024) Vol. 31, Iss. 1, pp. 102-113
Open Access | Times Cited: 1
Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories
Sezer Dümen, Esra Kavalcı Yılmaz, Kemal Adem, et al.
European Food Research and Technology (2024) Vol. 250, Iss. 9, pp. 2291-2302
Open Access | Times Cited: 1
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