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:

Bearing Fault Degradation Modeling Based on Multitime Windows Fusion Unsupervised Health Indicator
Solichin Mochammad, Yoojeong Noh, Young-Jin Kang
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19623-19634
Closed Access | Times Cited: 6

Showing 6 citing articles:

An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information
Jichao Zhuang, Yudong Cao, Yifei Ding, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107868-107868
Closed Access | Times Cited: 4

A Reinforcement Ensemble Learning Method for Rolling Bearing Fault Diagnosis under Variable Work Conditions
Yanning Li, Yi Zhang, Ruixin Wang, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3323-3323
Open Access | Times Cited: 2

Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 1

Machine Learning Approach for LPRE Bearings Remaining Useful Life Estimation Based on Hidden Markov Models and Fatigue Modelling
Federica Galli, Philippe Weber, Ghaleb Hoblos, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 367-367
Open Access

Review of rolling bearings performance degradation trend prediction
Yaping Wang, Kaiting Lu, Renquan Dong, et al.
Noise & Vibration Worldwide (2024)
Closed Access

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