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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:

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

Showing 12 citing articles:

Utilizing TGAN and ConSinGAN for Improved Tool Wear Prediction: A Comparative Study with ED-LSTM, GRU, and CNN Models
Milind Shah, Himanshu Borade, Vipul Dave, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3484-3484
Open Access | Times Cited: 6
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
Geometric parameters optimization of tap via response surface methodology and nondominated sorting dung beetle optimization algorithm
Kunyu Li, Qinghua Song, Jing Qin, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access
Design Study of Double Parallel Beam Cutting Force Sensor
Kaiqiang Yan, Xiaobin Huang, W.X. Wu, et al.
MAPAN (2025)
Closed Access
Minimum radius method for measuring curved edges on a coordinate measuring machine
Sergey N. Grigoriev, О. В. Захаров, Jian Wang, et al.
Measurement (2025), pp. 117119-117119
Closed Access
Analysis of abrasive wear on precision tools using artificial intelligence methods
Niklas Lohmar, Benedikt Thimm
SSRN Electronic Journal (2025)
Closed Access
Study on tool wear state recognition algorithm based on spindle vibration signals collected by homemade tool condition monitoring ring
Zhongling Xue, Liang Li, Youling Wu, et al.
Measurement (2023) Vol. 223, pp. 113787-113787
Closed Access | Times Cited: 8
A new method and practical recommendations for measuring geometric accuracy, linear and angular measurements of helical surfaces of end mill for HSM
Petr M. Pivkin, Anton M. Yazev, А. А. Ершов, et al.
(2024), pp. 71-71
Closed Access | Times Cited: 1
Evaluation of Peripheral Milling and Abrasive Water Jet Cutting in CFRP Manufacturing: Analysis of Defects and Surface Quality
Alejandro Sambruno, Álvaro Gómez-Parra, Pablo Márquez, et al.
Fibers (2024) Vol. 12, Iss. 10, pp. 78-78
Open Access | Times Cited: 1
Confidence Interval Estimation for Cutting Tool Wear Prediction in Turning Using Bootstrap-Based Artificial Neural Networks
Lorenzo Colantonio, Lucas Equeter, Pierre Dehombreux, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3432-3432
Open Access
Research on the performance of force measuring component − the key unit of vector thrust measuring system
Xinyang Li, Zongjin Ren, Jun Zhang, et al.
Measurement (2024) Vol. 235, pp. 115017-115017
Closed Access
Minimum Radius Method for Edges Measurement on a Coordinate Measuring Machine
Sergey N. Grigoriev, О. В. Захаров, Jian Wang, et al.
(2024)
Closed Access
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