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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:

Intelligent diagnosis method for machine faults based on federated transfer learning
Li Zhi, Zedong Li, Fengshou Gu
Applied Soft Computing (2024) Vol. 163, pp. 111922-111922
Closed Access | Times Cited: 13

Showing 13 citing articles:

The Prediction of Homogenized Effective Properties of Continuous Fiber Composites Based on a Deep Transfer Learning Approach
Zefei Wang, Sen Wang, Changwen Ma, et al.
Composites Science and Technology (2025), pp. 111050-111050
Closed Access
Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method
Xilin Yang, Xianfeng Yuan, Xinxin Yao, et al.
Expert Systems with Applications (2025), pp. 126730-126730
Closed Access
An ensemble deep learning network based on 2D convolutional neural network and 1D LSTM with self-attention for bearing fault diagnosis
Liying Wang, Weiguo Zhao
Applied Soft Computing (2025), pp. 112889-112889
Closed Access
Application of QGA-MCKD and stochastic feedback pooling network in variable-condition bearing diagnostics
Lifang He, W. Liu, Qing Xiong
Chaos Solitons & Fractals (2025) Vol. 194, pp. 116139-116139
Closed Access
Fed-MWFP: Lightweight Federated Learning with Interpretable Multiple Wavelet Fusion Network for Fault Diagnosis under Variable Operating Conditions
Yan Zhang, Haishen Kong, Yan Han, et al.
Knowledge-Based Systems (2025) Vol. 315, pp. 113277-113277
Closed Access
The Application of Machine Learning and Optimisation Algorithm for Magnetorheological Damper Dynamics Behaviour: A Review
Mohd Syahril Ramadhan Mohd Saufi, Mat Hussin Ab Talib, Mohd Zain
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 4
Closed Access
Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation
S. Kumar, N.R. Sakthivel, Binoy B. Nair
Informatics (2025) Vol. 12, Iss. 1, pp. 25-25
Open Access
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
A secondary optimization strategy in stochastic resonance modelling for the detection of unknown bearing faults
Mengdi Li, Jinfeng Huang, Peiming Shi, et al.
Chaos Solitons & Fractals (2024) Vol. 189, pp. 115576-115576
Closed Access | Times Cited: 1
Global-local attention network and value-informed federated strategy for predicting power battery state of health
Bingyang Chen, Kai Wang, Degang Xu, et al.
Energy (2024) Vol. 313, pp. 134088-134088
Closed Access | Times Cited: 1
A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets with Machine Learning Technique
Asmita R. Mali, P. V. Shinde, Amit Patil, et al.
Journal of Tribology (2024) Vol. 147, Iss. 2
Closed Access
Federated Transfer Learning-Based Paper Breakage Fault Diagnosis
Xiaoru Yu, Guojian Chen, Xianyi Zeng, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 10009-10009
Closed Access
Fed-Mwfp: Lightweight Federated Learning with Interpretable Multiple Wavelet Fusion Network for Fault Diagnosis Under Variable Operating Conditions
Yan Zhang, Haishen Kong, Yan Han, et al.
(2024)
Closed Access
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