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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 review of artificial intelligent methods for machined surface roughness prediction
Huguang Yang, Han Zheng, Taohong Zhang
Tribology International (2024) Vol. 199, pp. 109935-109935
Closed Access | Times Cited: 11

Showing 11 citing articles:

Model for predicting milled floor surface topography by importing actual bottom tool-edge profile details via online image acquisition
Wenjun Lyu, Zhanqiang Liu, Bing Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112303-112303
Closed Access
Performance evaluation of machine learning techniques in surface roughness prediction for 3D printed micro-lattice structures
B. Veera Siva Reddy, Ameer Malik Shaik, C. Chandrasekhara Sastry, et al.
Journal of Manufacturing Processes (2025) Vol. 137, pp. 320-341
Closed Access
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
Jeong Hoon Ko, Chen Yin
Journal of Intelligent Manufacturing (2025)
Open Access
High-Precision Chromatic Confocal Technologies: A Review
J.C. Li, Rui Ma, Jiao Bai
Micromachines (2024) Vol. 15, Iss. 10, pp. 1224-1224
Open Access | Times Cited: 1
Flame Retardation of Polyamide 6 by Electro-Sprayed Phosphorus–Copper Complex Supported by Layered Silicate
Tomasz M. Majka, Artur Bukowczan, Krzysztof Pielichowski
Journal of Materials Engineering and Performance (2024)
Open Access | Times Cited: 1
The Effects of Cutting Parameters on Cutting Force and Tribological Properties of Machined Surface Under Dry Turning of AISI304L Austenitic Stainless Steel
Gábor Kónya, Béla István Csorba, Norbert Péter Szabó, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 6, pp. 257-257
Open Access | Times Cited: 1
Prediction of surface roughness based on the Multi-Input CNN-MHA in milling
Miaoxian Guo, Shouheng Wei, Chentong Han, et al.
(2024)
Closed Access
Adaptive Hybrid Prediction Model for Adapting to Data Distribution Shifts in Machining Quality Prediction
Feng Li, Xu Yang, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016022-016022
Closed Access
Milling surface roughness monitoring using real-time tool wear data
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
International Journal of Mechanical Sciences (2024) Vol. 285, pp. 109821-109821
Closed Access
Precision machining of DMLS Cu electrodes via WEDM: Parameter optimization and predictive modelling for enhanced performance
T. S. Senthilkumar, M. Sridharan, R. Muralikannan, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access
Innovative surface roughness detection method based on white light interference images
Huguang Yang, Xiaojing Su, Botao Li, et al.
Machine Vision and Applications (2024) Vol. 36, Iss. 1
Closed Access
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