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:

Machine Learning Based Predictive Maintenance: Review, Challenges and Workflow
Nawal Daoudi, Smail Zaki, Mohamed Aboussaleh
Lecture notes in networks and systems (2023), pp. 71-88
Closed Access | Times Cited: 6

Showing 6 citing articles:

A Review of Big Data Analytics and Artificial Intelligence in Industry 5.0 for Smart Decision-Making
Kassim Kalinaki, Umar Yahya, Owais Ahmed Malik, et al.
Advances in business information systems and analytics book series (2024), pp. 24-47
Closed Access | Times Cited: 4

Predictive maintenance of district heating networks: A comprehensive review of methods and challenges
Amir Rafati, Hamid Reza Shaker
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102722-102722
Open Access | Times Cited: 4

Predictive maintenance system for screw compressors using machine learning: a comparative study
Nawal Daoudi, Smail Zaki, Mohamed Aboussaleh
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access

MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT
Coralia Tanasuica, Mihai Daniel Roman
Eastern European Journal for Regional Studies (2024), pp. 79-97
Open Access

Predicting the Lifespan of Electric Submersible Pumps Using Random-Forest Machine-Learning
James Arukhe, Torty C. Kalu-Ulu, Ammal F. Anazi, et al.
(2024)
Closed Access

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
Abigail Langbridge, Fearghal O’Donncha, James T. Rayfield, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2142-2151
Closed Access

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