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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:

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

Showing 1-25 of 120 citing articles:

A State-of-the-art Review on the Intelligent Tool Holders in Machining
Qinglong An, Jie Yang, Junli Li, et al.
Intelligent and sustainable manufacturing (2024) Vol. 1, Iss. 1, pp. 10002-10002
Open Access | Times Cited: 25
A novel exponential model for tool remaining useful life prediction
Mingjian Sun, Kai Guo, Desheng Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 223-240
Closed Access | Times Cited: 25
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process
Xuebing Li, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 19-38
Closed Access | Times Cited: 16
A Hybrid Attention-Based Paralleled Deep Learning model for tool wear prediction
Jian Duan, Xi Zhang, Tielin Shi
Expert Systems with Applications (2022) Vol. 211, pp. 118548-118548
Closed Access | Times Cited: 65
A Comprehensive Review on the Conventional and Non-Conventional Machining and Tool-Wear Mechanisms of INCONEL®
André F. V. Pedroso, Vítor F. C. Sousa, Naiara P. V. Sebbe, et al.
Metals (2023) Vol. 13, Iss. 3, pp. 585-585
Open Access | Times Cited: 32
A milling tool wear monitoring method with sensing generalization capability
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 25-41
Closed Access | Times Cited: 28
Intelligent tool wear monitoring based on multi-channel hybrid information and deep transfer learning
Pengfei Zhang, Dong Gao, Dongbo Hong, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 31-47
Closed Access | Times Cited: 28
On-line tool wear monitoring under variable milling conditions based on a condition-adaptive hidden semi-Markov model (CAHSMM)
Shichao Yan, Liang Sui, Siqi Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110644-110644
Closed Access | Times Cited: 26
Review of advances in tool condition monitoring techniques in the milling process
T. Mohanraj, E S Kirubakaran, Dinesh Kumar Madheswaran, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092002-092002
Closed Access | Times Cited: 10
Parametric optimization of the machining performance of Al-SiCp composite using combination of response surface methodology and desirability function
Harmesh Kumar, Amandeep Singh Wadhwa, Shalom Akhai, et al.
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025505-025505
Open Access | Times Cited: 9
Review of current best-practices in machinability evaluation and understanding for improving machining performance
Zhirong Liao, Julius Schoop, Jannis Saelzer, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 151-184
Open Access | Times Cited: 8
Understanding the tool wear mechanism during robotic milling of glass fibre reinforced plastic
Mingjian Sun, Kai Guo, Vinothkumar Sivalingam, et al.
Tribology International (2024) Vol. 195, pp. 109648-109648
Closed Access | Times Cited: 8
Advances in grinding tools and abrasives
Anthony Beaucamp, Benjamin Kirsch, Wu-Le Zhu
CIRP Annals (2022) Vol. 71, Iss. 2, pp. 623-646
Closed Access | Times Cited: 29
ACWGAN-GP for milling tool breakage monitoring with imbalanced data
Xuebing Li, Caixu Yue, Xianli Liu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102624-102624
Closed Access | Times Cited: 20
A hybrid-driven probabilistic state space model for tool wear monitoring
Zhipeng Ma, Ming Zhao, Xuebin Dai, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110599-110599
Closed Access | Times Cited: 19
Early detection of tool wear in electromechanical broaching machines by monitoring main stroke servomotors
Iñigo Aldekoa, Ander del Olmo, Leonardo Sastoque Pinilla, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110773-110773
Open Access | Times Cited: 18
Toward practical tool wear prediction paradigm with optimized regressive Siamese neural network
Jian Duan, Jianqiang Liang, Xinjia Yu, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102200-102200
Closed Access | Times Cited: 17
Hybrid CNN-LSTM model driven image segmentation and roughness prediction for tool condition assessment with heterogeneous data
Xu Zhu, Guilin Chen, Chao Ni, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102796-102796
Closed Access | Times Cited: 6
Tool wear monitoring based on physics-informed Gaussian process regression
Mingjian Sun, Xianding Wang, Kai Guo, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 40-61
Closed Access | Times Cited: 5
Intelligent monitoring system for production lines in smart factories: A hybrid method integrating Transformer and Kalman filter
Xuzhou Fang, Qinghua Song, Zhenyang Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 27-47
Closed Access
A task-cooperative drilling monitoring method based on heterogeneous multi-task learning: Task adaptive fusion guided by domain knowledge
Jing Qin, Qinghua Song, Runqiong Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112299-112299
Closed Access
Anomaly detection for high-speed machining using hybrid regularized support vector data description
Zhipeng Ma, Ming Zhao, Xuebin Dai, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102962-102962
Closed Access
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
Jeong Hoon Ko, Chen Yin
Journal of Intelligent Manufacturing (2025)
Open Access
Real-time temperature monitoring during titanium alloy machining with cutting tools integrating novel thin-film sensors
Bruno Martins, Carlos Patacas, A. Cavaleiro, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112444-112444
Closed Access
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