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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:

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging
Junbin Chen, Jipu Li, Ruyi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy
Ke Zhao, Junchen Hu, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109246-109246
Closed Access | Times Cited: 93
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
A multi-center federated learning mechanism based on consortium blockchain for data secure sharing
Yinglin Wang, Zhao Tian, Xinrui Liu, et al.
Knowledge-Based Systems (2025), pp. 112962-112962
Closed Access | Times Cited: 1
Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning
Xiaokang Zhou, Qiuyue Yang, Qiang Liu, et al.
Information Fusion (2023) Vol. 105, pp. 102182-102182
Closed Access | Times Cited: 37
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
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
Applicability of Deep Reinforcement Learning for Efficient Federated Learning in Massive IoT Communications
Prohim Tam, Riccardo Corrado, Chanthol Eang, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3083-3083
Open Access | Times Cited: 29
Dynamic weighted federated remaining useful life prediction approach for rotating machinery
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110688-110688
Closed Access | Times Cited: 22
Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis
Ke Yue, Jipu Li, Zhuyun Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
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
FedLED: Label-Free Equipment Fault Diagnosis With Vertical Federated Transfer Learning
Jie Shen, Shusen Yang, Cong Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open 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
Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19
Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis
Jiao Chen, Jianhua Tang, Weihua Li
IEEE Transactions on Network Science and Engineering (2023), pp. 1-13
Closed Access | Times Cited: 17
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
DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis
Dongshang Deng, Wei Zhao, Xuangou Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7082-7091
Closed Access | Times Cited: 5
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
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
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
VIT-GADG: A Generative Domain-Generalized Framework for Chillers Fault Diagnosis Under Unseen Working Conditions
Kexin Jiang, Xuejin Gao, Huihui Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
Federated learning: A cutting-edge survey of the latest advancements and applications
Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, et al.
Computer Communications (2024) Vol. 228, pp. 107964-107964
Open Access | Times Cited: 4
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
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
Active federated transfer algorithm based on broad learning for fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Measurement (2023) Vol. 208, pp. 112452-112452
Closed Access | Times Cited: 12
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