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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 federated transfer learning method with low-quality knowledge filtering and dynamic model aggregation for rolling bearing fault diagnosis
Ran Wang, Fucheng Yan, Liang Yu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110413-110413
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Model aggregation techniques in federated learning: A comprehensive survey
Pian Qi, Diletta Chiaro, Antonella Guzzo, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 272-293
Open Access | Times Cited: 100
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
Self-paced decentralized federated transfer framework for rotating machinery fault diagnosis with multiple domains
Ke Zhao, Zhenbao Liu, Jia Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111258-111258
Closed Access | Times Cited: 17
Universal federated domain adaptation for gearbox fault diagnosis: A robust framework for credible pseudo-label generation
Xinyu Ren, Suixin Wang, Wanli Zhao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103233-103233
Closed Access | Times Cited: 1
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121585-121585
Closed Access | Times Cited: 31
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
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Joint Wasserstein distance matching under conditional probability distribution for cross-domain fault diagnosis of rotating machinery
Ran Wang, Fucheng Yan, Liang Yu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111121-111121
Closed Access | Times Cited: 9
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9
Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client
Funa Zhou, Shun Liu, Hamido Fujita, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121982-121982
Closed Access | Times Cited: 20
Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis
Hao Lü, Adam Thelen, Olga Fink, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111068-111068
Open Access | Times Cited: 7
Federated temporal-context contrastive learning for fault diagnosis using multiple datasets with insufficient labels
Haowen Zheng, Hui Liu, Zhenyu Liu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102432-102432
Closed Access | Times Cited: 5
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123859-123859
Closed Access | Times Cited: 5
Remaining useful life prediction of machinery using federated public feature representation in edge-cloud collaboration architecture
Liang Chen, Hongli Gao, Liang Guo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110059-110059
Closed Access
Joint distribution Bures–Wasserstein distance based multi-source student teacher network for rotating machinery fault diagnosis
Fucheng Yan, Liang Yu, Ran Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112366-112366
Closed Access
Intelligent fault diagnosis via ring-based decentralized federated transfer learning
Lanjun Wan, Jiaen Ning, Yuanyuan Li, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111288-111288
Closed Access | Times Cited: 15
Interpretable multi-domain meta-transfer learning for few-shot fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Yuli Zhang, Huawei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076103-076103
Closed Access | Times Cited: 4
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
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Xiao Zhang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111093-111093
Closed Access | Times Cited: 11
Federated Transfer Learning-Based Distributed Fault Diagnosis Method for Rolling Bearings
Guang Yang, Juan Su, Songhuai Du, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126111-126111
Closed Access | Times Cited: 3
Modeling of the hysteretic behavior of nonlinear particle damping by Fourier neural network with transfer learning
Xin Ye, Yi‐Qing Ni, Wai Kei Ao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111006-111006
Open Access | Times Cited: 9
Temporally-preserving latent variable models: Offline and online training for reconstruction and interpretation of fault data for gearbox condition monitoring
Ryan Balshaw, P. Stephan Heyns, Daniël N. Wilke, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 3
A blockchain-empowered secure federated domain generalization framework for machinery fault diagnosis
Shucheng Zhang, Pei Jiang, Xiaobin Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102756-102756
Closed Access | Times Cited: 2
Artificial intelligence and edge computing for machine maintenance-review
Abubakar Bala, Rahimi Zaman Jusoh A. Rashid, Idris Ismail, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 1
KBRDBN: An Interpretable Deep Belief Network for the Fault Diagnosis of the Trolley Mechanism in Ship-to-Shore Cranes
Xiaoqiang Liao, Xinguo Ming, Min Xia
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 3
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