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:

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

Showing 5 citing articles:

Tool digital twin based on knowledge embedding for precision CNC machine tools: Wear prediction for collaborative multi-tool
Jiacheng Sun, Dong Wang, Zhenyu Liu, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 157-175
Closed Access

Research on multi-source information fusion tool wear monitoring based on MKW-GPR model
Ruitao Peng, Zelin Xiao, Yuanyuan Peng, et al.
Measurement (2024), pp. 116055-116055
Closed Access | Times Cited: 2

Enhancement of the tool performance of circular saw blades by improving the microstructure and residual stress field using an ultrasonic rolling tensioning process
Jinyou Kang, Heng Zhang, Jinsheng Zhang, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 3-4, pp. 1517-1532
Closed Access

Wear analysis of teeth for roughing and finishing in the high-efficiency machining of hard alloys using carbide circular saw blades
Jinyou Kang, Heng Zhang, Jinsheng Zhang, et al.
Engineering Failure Analysis (2024), pp. 108983-108983
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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