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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.

Requested Article:

Diagnosing bearing fault location, size, and rotational speed with entropy variables using extreme learning machine
Eyyüp Akcan, Melih Kuncan, Kaplan Kaplan, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 46, Iss. 1
Closed Access | Times Cited: 10

Showing 10 citing articles:

Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
A novel convolutional neural network with global perception for bearing fault diagnosis
Xianguo Li, Ying Chen, Yi Liu
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109986-109986
Closed Access
A multi-source domain adaption intelligent fault diagnosis method based on asymmetric adversarial training
Dan Yang, Tianyu Ma, Zhipeng Li
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036123-036123
Closed Access
Fault Diagnosis Method for Planetary Gearboxes Based on SIFT-BoW and IResNext
Zebing Wang, Lele Gao, Cui Bao-zhen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12094-12103
Closed Access | Times Cited: 2
Cost effective detection of uneven mounting fault in rotary wing drone motors with a CNN based method
Nurdoğan Ceylan, Eyüp Sönmez, Sezgin Kaçar
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 8049-8059
Closed Access | Times Cited: 2
Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification
Zhenxia Xue, Chongning Zhao, Shuqing Wei, et al.
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7352-7376
Closed Access | Times Cited: 1
Enhancing induction machine fault detection through machine learning: Time and frequency analysis of vibration signals
A. Daas, Bilal Sari, Jiajia Jia, et al.
Measurement (2024), pp. 116023-116023
Closed Access | Times Cited: 1
Enhancing robotic manipulator fault detection with advanced machine learning techniques
Faiq Ahmad Khan, Akhtar Jamıl, Shaiq Ahmad Khan, et al.
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025204-025204
Open Access
A Lightweight Complex-Domain Acoustic Feature Extraction Method for Rotating Machinery Fault Detection
Xiaoyi Wei, Lansa Ding, Dezheng Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096208-096208
Closed Access
Investigating Bearing and Gear Vibrations with a Micro-electro-mechanical Systems (MEMS) and Machine Learning Approach
Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, et al.
Results in Engineering (2024), pp. 103499-103499
Open Access
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