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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 data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion
Xuebing Li, Xianli Liu, Caixu Yue, et al.
Measurement (2021) Vol. 185, pp. 110072-110072
Closed Access | Times Cited: 53

Showing 1-25 of 53 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: 126
Tool wear identification and prediction method based on stack sparse self-coding network
Yiyuan Qin, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 72-84
Closed Access | Times Cited: 58
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: 29
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: 23
Tool wear state recognition and prediction method based on laplacian eigenmap with ensemble learning model
Yang Xie, Shangshang Gao, Chaoyong Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102382-102382
Closed Access | Times Cited: 16
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 | Times Cited: 2
Accurate estimation of tool wear levels during milling, drilling and turning operations by designing novel hyperparameter tuned models based on LightGBM and stacking
Jawad Mahmood, Ghulam-e Mustafa, Muhammad Ali
Measurement (2022) Vol. 190, pp. 110722-110722
Closed Access | Times Cited: 40
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
Tingting Chen, Vignesh Sampath, Marvin Carl May, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1903-1903
Open Access | Times Cited: 37
Cutting tool wear state recognition based on a channel-space attention mechanism
Rongyi Li, Peining Wei, Xianli Liu, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 135-149
Closed Access | Times Cited: 32
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: 29
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
Research on tool wear state identification method driven by multi-source information fusion and multi-dimension attention mechanism
Peining Wei, Rongyi Li, Xianli Liu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102741-102741
Closed Access | Times Cited: 10
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: 21
A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics
Caihua Hao, Xinyong Mao, Tao Ma, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102106-102106
Closed Access | Times Cited: 20
Multi-scale one-dimensional convolution tool wear monitoring based on multi-model fusion learning skills
Wei Ma, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 69-98
Closed Access | Times Cited: 19
On-machine measurement and compensation of thin-walled surface
Lida Zhu, Yanpeng Hao, Shaoqing Qin, et al.
International Journal of Mechanical Sciences (2024) Vol. 271, pp. 109308-109308
Closed Access | Times Cited: 7
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
Cutting tool wear monitoring based on a smart toolholder with embedded force and vibration sensors and an improved residual network
Pengfei Zhang, Dong Gao, Yong Lü, et al.
Measurement (2022) Vol. 199, pp. 111520-111520
Closed Access | Times Cited: 27
Multi-condition wear prediction and assessment of milling cutters based on linear discriminant analysis and ensemble methods
Honggen Zhou, Shangshang Gao, Yang Xie, et al.
Measurement (2023) Vol. 216, pp. 112900-112900
Closed Access | Times Cited: 13
Auxiliary input-enhanced siamese neural network: A robust tool wear prediction framework with improved feature extraction and generalization ability
Chenghan Wang, Bin Shen
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111243-111243
Closed Access | Times Cited: 5
Leveraging artificial intelligence for real-time indirect tool condition monitoring: From theoretical and technological progress to industrial applications
Delin Liu, Zhanqiang Liu, Bing Wang, et al.
International Journal of Machine Tools and Manufacture (2024) Vol. 202, pp. 104209-104209
Closed Access | Times Cited: 5
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: 4
Ball-end tool wear monitoring and multi-step forecasting with multi-modal information under variable cutting conditions
Yanpeng Hao, Lida Zhu, Jinsheng Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 234-258
Closed Access | Times Cited: 4
Deep-learning-driven intelligent tool wear identification of high-precision machining with multi-scale CNN-BiLSTM-GCN
Zhicheng Xu, Baolong Zhang, Louis Luo Fan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103234-103234
Closed Access
Study on heat dissipation behavior of optical polymer microstructured surface in illumination
Lei Li, Jin Xie, Zizhao Yang
Applied Thermal Engineering (2025), pp. 126133-126133
Closed Access
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