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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.

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Showing 12 citing articles:

Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
Shen Zhang, Shibo Zhang, Bingnan Wang, et al.
IEEE Access (2020) Vol. 8, pp. 29857-29881
Open Access | Times Cited: 589
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults
You Keshun, Guangqi Qiu, Yingkui Gu
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 094001-094001
Closed Access | Times Cited: 41
Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis
You Keshun, Guangqi Qiu, Yingkui Gu
Sensors (2022) Vol. 22, Iss. 22, pp. 8906-8906
Open Access | Times Cited: 45
A classifier fusion system for bearing fault diagnosis
Luana Batista, Bechir Badri, Robert Sabourin, et al.
Expert Systems with Applications (2013) Vol. 40, Iss. 17, pp. 6788-6797
Closed Access | Times Cited: 55
Development of an intelligent condition monitoring system for AC induction motors using PLC
Muhammad Irfan, Nordin Saad, Rosdiazli Ibrahim, et al.
(2013), pp. 789-794
Closed Access | Times Cited: 20
Intelligent bearing fault monitoring system using support vector machine and wavelet packet decomposition for induction motors
Hari Om Vishwakarma, K. S. Sajan, Bhaskar Maheshwari, et al.
(2015), pp. 339-343
Closed Access | Times Cited: 9
Detecting bearing defects under high noise levels: A classifier fusion approach
Luana Batista, Bechir Badri, Robert Sabourin, et al.
(2012)
Closed Access | Times Cited: 5
AC motor fault diagnosis at incipient stage using programmable logic controller
Muhammad Irfan, Nordin Saad, Rosdiazli Ibrahim, et al.
(2013) Vol. ia 21, pp. 25-30
Closed Access | Times Cited: 4
Bearing fault detection in adjustable speed drives via self-organized operational neural networks
Sertac Kilickaya, Levent Eren
Electrical Engineering (2024)
Open Access
SVM Based Bearing Fault Diagnosis in Induction Motors Using Frequency Spectrum Features of Stator Current
Ignas Andrijauskas, Rimas Adaškevičius
(2018), pp. 826-831
Closed Access | Times Cited: 4
Machine Learning Based Bearing Fault Detection of IM Fed by Variable Frequency Drive Using Motor Current Signature Analysis
Othman Ahmed, Владимир Павлович Метельков, D. V. Esaulkova
(2023), pp. 1-6
Closed Access | Times Cited: 1
A Qualified review of ML and DL algorithms for Bearing Fault Diagnosis
Asma Bibi, Bushra Naz, Shahnawaz Talpur, et al.
International Journal of Innovations in Science and Technology (2022) Vol. 4, Iss. 4, pp. 998-1010
Open Access
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