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 novel method based on deep transfer learning for tool wear state prediction under cross-dataset
Yifan Wang, Jie Gao, Wei Wang, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 1, pp. 171-182
Closed Access | Times Cited: 5

Showing 5 citing articles:

State-of-art, challenges, and outlook on deep hole boring: chatter suppression, tool wear monitoring, and error measurement
Jiefu Sun, Chao Sun, Zheping Yan, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access | Times Cited: 2

Recent Progress of Chatter Detection and Tool Wear Online Monitoring in Machining Process: A Review and Future Prospects
Feng-ze Qin, Huajun Cao, Guibao Tao, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 12, Iss. 2, pp. 719-748
Closed Access | Times Cited: 2

A Domain-Aware Federated Learning Study for CNC Tool Wear Estimation
Inci Sila Kaleli, Perin Ünal, Bilgin Umut Deveci, et al.
Lecture notes in computer science (2024), pp. 250-265
Closed Access

A method for remaining useful life prediction of milling cutter using multi-scale spatial data feature visualization and domain separation prediction network
Qiang Liu, Jiaqi Liu, Xianli Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112251-112251
Closed Access

An intelligent monitoring system for robotic milling process based on transfer learning and digital twin
Zhaoju Zhu, Weiren Zhu, Jianwei Huang, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 433-443
Closed Access

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