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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:

Application of machine vision method in tool wear monitoring
Ruitao Peng, Jiachen Liu, Xiuli Fu, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 116, Iss. 3-4, pp. 1357-1372
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Systematic review on tool breakage monitoring techniques in machining operations
Xuebing Li, Xianli Liu, Caixu Yue, et al.
International Journal of Machine Tools and Manufacture (2022) Vol. 176, pp. 103882-103882
Closed Access | Times Cited: 120
A novel ensemble deep learning model for cutting tool wear monitoring using audio sensors
Zhixiong Li, Xihao Liu, Atilla İncecik, et al.
Journal of Manufacturing Processes (2022) Vol. 79, pp. 233-249
Closed Access | Times Cited: 72
An update method for digital twin multi-dimension models
He Zhang, Qinglin Qi, Wei Ji, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 80, pp. 102481-102481
Open Access | Times Cited: 55
Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals
Yaping Zhang, Xiaozhi Qi, Tao Wang, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4595-4595
Open Access | Times Cited: 30
CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts
Alberto García-Pérez, Amina Ziegenbein, Eric Schmidt, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 85-98
Closed Access | Times Cited: 29
Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning
Mohamed Marei, Weidong Li
The International Journal of Advanced Manufacturing Technology (2021) Vol. 118, Iss. 3-4, pp. 817-836
Closed Access | Times Cited: 51
Improving machining accuracy of complex precision turning-milling machine tools
Tzu-Chi Chan, Jyun-De Li, Umar Farooq, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 1, pp. 211-227
Closed Access | Times Cited: 5
Tool wear monitoring based on scSE-ResNet-50-TSCNN model integrating machine vision and force signals
Peng Nie, Yaosheng Chen Yunxue Guo, Bixuan Lou, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086117-086117
Closed Access | Times Cited: 5
Novel and cost-effective CNC tool condition monitoring through image processing techniques
Alireza Falah, Mátyás Andó
Deleted Journal (2025) Vol. 7, Iss. 1
Open Access
A visual analytical method for evaluating tool flank wear volumes of micro-milling cutters with AKAZE features matching: A preliminary study
Yu Zhang, Shuaishuai Gao, Xianyin Duan, et al.
Wear (2025) Vol. 564-565, pp. 205739-205739
Closed Access
Classification of Tool Wear State based on Dual Attention Mechanism Network
Jiaqi Zhou, Caixu Yue, Xianli Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 83, pp. 102575-102575
Closed Access | Times Cited: 15
Comparative analysis of different machine vision algorithms for tool wear measurement during machining
Mayur A. Makhesana, Prashant J. Bagga, Kaushik M. Patel, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning
Seisuke Kano
Machines (2025) Vol. 13, Iss. 2, pp. 81-81
Open Access
Combining Sensor Fusion and a Machine Learning Framework for Accurate Tool Wear Prediction During Machining
Swathi Kotha Amarnath, Vamsi Inturi, Sabareesh Geetha Rajasekharan, et al.
Machines (2025) Vol. 13, Iss. 2, pp. 132-132
Open Access
Innovative 3D Measuring Technique for Identifying Geometrical Imperfections and Wear in Small Marine Stern Tube Liners
Tomasz Żochowski, Wojciech Litwin
Polish Maritime Research (2025) Vol. 32, Iss. 1, pp. 129-136
Open Access
Research on wear state prediction of ball end milling cutter based on entropy measurement of tool mark texture images
Maoyue Li, Xinyuan Lu, Zelong Liu, et al.
Journal of Central South University (2025) Vol. 32, Iss. 1, pp. 174-188
Closed Access
Tool wear monitoring based on the combination of machine vision and acoustic emission
Meiliang Chen, Mengdan Li, Linfeng Zhao, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 7-8, pp. 3881-3897
Closed Access | Times Cited: 12
Precise measurement of geometric and physical quantities in cutting tools inspection and condition monitoring: A review
Wenqi Wang, Wei Liu, Yang Zhang, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 23-53
Open Access | Times Cited: 12
An adaptive method of measuring the rake face wear of end mills based on image feature point set registration
Dou Jianming, Haiyan Dong, Jilin Zhang, et al.
Journal of Manufacturing Processes (2023) Vol. 98, pp. 149-158
Closed Access | Times Cited: 10
Ultrasonic in-situ measurement method and error analysis of wear of PEEK water-lubricated bearing materials
Fei Hu, Changxiong Ning, Wu Ouyang
Measurement (2023) Vol. 214, pp. 112822-112822
Closed Access | Times Cited: 9
Machine vision for the measurement of machining parameters: A review
Abdul Wahab Hashmi, Harlal Singh Mali, Anoj Meena, et al.
Materials Today Proceedings (2021) Vol. 56, pp. 1939-1946
Closed Access | Times Cited: 19
Machine vision-based recognition of elastic abrasive tool wear and its influence on machining performance
Lei Guo, Zhengcong Duan, Wanjin Guo, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 8, pp. 4201-4216
Closed Access | Times Cited: 7
A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data
Alberto García-Pérez, María J. Gómez-Silva, Arturo de la Escalera-Hueso
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
HG-XAI: human-guided tool wear identification approach through augmentation of explainable artificial intelligence with machine vision
Aitha Sudheer Kumar, Ankit Agarwal, Vinita Gangaram Jansari, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Integrating intelligent machine vision techniques to advance precision manufacturing: a comprehensive survey in the context of mechatronics and beyond
Dhiren Patel, Ankit D. Oza, Manoj Kumar
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 6, pp. 3571-3582
Closed Access | Times Cited: 5
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