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:

Measuring Surface Characteristics in Sustainable Machining of Titanium Alloys Using Deep Learning-Based Image Processing
Nimel Sworna Ross, C. Sherin Shibi, Sithara Mohamed Mustafa, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13629-13639
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Mustafa Kuntoğlu, et al.
Measurement (2023) Vol. 223, pp. 113825-113825
Closed Access | Times Cited: 52

Generative AI in industrial machine vision: a review
Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides, et al.
Journal of Intelligent Manufacturing (2025)
Open Access | Times Cited: 1

Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning
K. Devarajan, T. Mohanraj, Pavan Pradeep, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 4, pp. 42-42
Open Access | Times Cited: 6

A State of the Art on Sustainable Metal Working Fluids in Machining Applications
Hakan Yurtkuran, Mustafa Günay, Ritu Rai
Journal of Molecular and Engineering Materials (2024) Vol. 12, Iss. 03
Closed Access | Times Cited: 4

Integrated Optimization and Prediction Framework for Titanium-Based Tools: A Henry Gas Solubility and Machine Learning Approach for Surface Roughness and Residual Stress
Venkata Kanaka Srivani Maddala, Kavita Singh, Ganpati Martand Kharmate, et al.
SSRN Electronic Journal (2025)
Closed Access

Surface quality prediction in abrasive flow machining using ANN model on small data sets
Haiquan Wang, Yiao Guo, Xuanping Wang, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access

Utilizing 3D printing in marine industries: innovations for enhanced ship and boat production
R. Endymion Grosious, L. Natrayan
(2024), pp. 24-24
Closed Access | Times Cited: 1

Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1

Maximizing efficiency in C45 steel machining: an integrated AI-based approach to coated insert optimization
K. Shunmugesh, Sony Kurian, M. Adam Khan, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Open Access | Times Cited: 1

Effect of roller burnishing on the mechanical behavior and surface quality of Ti6Al4V alloy
Mahmut Çelik
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023) Vol. 237, Iss. 5, pp. 2093-2101
Closed Access | Times Cited: 2

The intelligent football players’ motion recognition system based on convolutional neural network and big data
Xin Wang, Yingqing Guo
Heliyon (2023) Vol. 9, Iss. 11, pp. e22316-e22316
Open Access | Times Cited: 2

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