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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:

A Novel Fault Diagnosis of a Rolling Bearing Method Based on Variational Mode Decomposition and an Artificial Neural Network
Xiaobei Liang, Jinyong Yao, Weifang Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3413-3413
Open Access | Times Cited: 10

Showing 10 citing articles:

A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9
Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach
Muhammad Zain Yousaf, Josep M. Guerrero, Muhammad Tariq Sadiq
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110597-110597
Closed Access
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization
Wenchao Jia, Aijun An, Bin Gong, et al.
Expert Systems with Applications (2025), pp. 127267-127267
Closed Access
ESG guidance and artificial intelligence support for power systems analytics in the energy industry
Qingjiang Li, Guilin Zou, Wenlong Zeng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis
Hongbo Que, Xuyan Liu, Siqin Jin, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5165-5165
Open Access | Times Cited: 1
An axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings
Xiang Wang, Hui Liu, Weikang Zhai, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 108995-108995
Closed Access | Times Cited: 1
Instantaneous Square Current Signal Analysis for Motors Using Vision Transformer for the Fault Diagnosis of Rolling Bearings
Fei Chen, Xin Zhou, Binbin Xu, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9349-9349
Open Access | Times Cited: 3
Fault Diagnosis Method of Roadheader Bearing Based on VMD and Domain Adaptive Transfer Learning
Xiaofei Qu, Yongkang Zhang
Sensors (2023) Vol. 23, Iss. 11, pp. 5134-5134
Open Access | Times Cited: 2
Transmission Line Fault Classification Based on the Combination of Scaled Wavelet Scalograms and CNNs Using a One-Side Sensor for Data Collection
Ahmed Sabri Altaie, Mohamed Abderrahim, Afaneen Anwer Alkhazraji
Sensors (2024) Vol. 24, Iss. 7, pp. 2124-2124
Open Access
A Lightweight Residual Network and Its Application in Bearing Fault Diagnosis
Feiqing Zhang, Zhenyu Yin, Jiong Li, et al.
(2023), pp. 432-437
Closed Access
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