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:

Recent Progress of Machine Learning Algorithms for the Oil and Lubricant Industry
Md Hafizur Rahman, Sadat Shahriar, Pradeep L. Menezes
Lubricants (2023) Vol. 11, Iss. 7, pp. 289-289
Open Access | Times Cited: 8

Showing 8 citing articles:

Artificial Intelligence and Machine Learning in Tribology: Selected Case Studies and Overall Potential
Raj Shah, Rudy Jaramillo, Garvin Thomas, et al.
Advanced Engineering Materials (2025)
Closed Access

Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing
K. Rameshkumar, Kaviarasu Nataraj, P. Krishnakumar, et al.
IEEE Access (2024) Vol. 12, pp. 78680-78700
Open Access | Times Cited: 2

Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
Mohammad-Reza Pourramezan, Abbas Rohani, Mohammad Hossein Abbaspour‐Fard
ACS Omega (2023)
Open Access | Times Cited: 3

An integrated knowledge and data model for adaptive diagnosis of lubricant conditions
Shuo Wang, Zhidong Han, Weijun Hui, et al.
Tribology International (2024) Vol. 199, pp. 109914-109914
Closed Access

Thermal oxidation of aviation lubricating oil: Mechanism, influencing factors, evaluation methods, and antioxidants
Xiaojin Zhang, Xi Huang, Jing Li, et al.
Asia-Pacific Journal of Chemical Engineering (2024) Vol. 19, Iss. 5
Closed Access

Integrating Machine Learning with Intelligent Control Systems for Flow Rate Forecasting in Oil Well Operations
Bibars Amangeldy, Nurdaulet Tasmurzayev, Shona Shinassylov, et al.
Automation (2024) Vol. 5, Iss. 3, pp. 343-359
Open Access

Appraising machine learning algorithms in predicting noise level and emissions from gasoline-powered household backup generators
Solomon O. Giwa, Collins N. Nwaokocha, O. M. Osifeko, et al.
International Journal of Environmental Science and Technology (2024)
Open Access

Machine Learning-Based Predictions of Metal and Non-Metal Elements in Engine Oil Using Electrical Properties
Mohammad-Reza Pourramezan, Abbas Rohani, Mohammad Hossein Abbaspour‐Fard
Lubricants (2024) Vol. 12, Iss. 12, pp. 411-411
Open Access

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