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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:

Physics based models for characterization of machining performance – A critical review
Helmi Attia, A. Sadek, Yusuf Altintaş, et al.
CIRP journal of manufacturing science and technology (2024) Vol. 51, pp. 161-189
Open Access | Times Cited: 12

Showing 12 citing articles:

The machining of compacted graphite irons – State of the art and future perspective
Lijuan Zheng, Zhiwei Lai, Yong Sun, et al.
Machining Science and Technology (2025), pp. 1-40
Closed Access
Surface roughness prediction in machining using two-stage domain-incremental learning with input dimensionality expansion
Clayton Cooper, Jianjing Zhang, Y. B. Guo, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 503-510
Open Access
Using plunging-type testing to investigate process mechanics at micro scale machining
Samer Adeeb, Yiğit Karpat
Procedia CIRP (2025) Vol. 133, pp. 561-566
Open Access
Modeling topographical variations of cutting edges to consider the stochastic behavior of tool wear in milling simulations
Jim A. Bergmann, Petra Wiederkehr
Procedia CIRP (2025) Vol. 133, pp. 483-488
Open Access
Dynamic deformation and fracture of brass: Experiments and dislocation-based model
Egor S. Rodionov, Victor V. Pogorelko, Victor G. Lupanov, et al.
International Journal of Plasticity (2024) Vol. 183, pp. 104165-104165
Closed Access | Times Cited: 3
Experimentally Aided Operational Virtual Prototyping to Predict Best Clamping Conditions for Face Milling of Large-Size Structures
Krzysztof J. Kaliński, Marek A. Galewski, Michał Mazur, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7346-7346
Open Access | Times Cited: 1
Fracture Mechanics-Based Modelling of Tool Wear in Machining Ti6Al4V Considering the Microstructure of Cemented Carbide Tools
Hossein Gohari, Bin Shi, Helmi Attia, et al.
Journal of Machine Engineering (2024) Vol. 24, Iss. 2, pp. 5-17
Open Access
Assessment of the Heat Transfer Conditions in the Cavity of a Rotating Circular Saw
Jan Stegmann, Moritz Baumert, Stephan Kabelac, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3189-3189
Open Access
A New Cutting Mechanics Model for Improved Shear Angle Prediction in Orthogonal Cutting Process
Farshad Kazemi, Chunlei Song, Adam T. Clare, et al.
Journal of Manufacturing Science and Engineering (2024) Vol. 147, Iss. 4
Closed Access
Machining Characteristics During Short Hole Drilling of Titanium Alloy Ti10V2Fe3Al
Michael Storchak
Materials (2024) Vol. 17, Iss. 22, pp. 5569-5569
Open Access
Physics-Guided Deep Network for Milling Dynamics Prediction
Kunpeng Zhu, Jun Li
Engineering (2024)
Open Access
The evolution of cutting technology and metal-cutting machines in the paradigm of technological modes
А. П. Кузнецов
The Economics of Science (2024) Vol. 10, Iss. 4, pp. 75-99
Open Access
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