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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:

Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions
Zhang We, Xiang Li
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1329-1344
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis
Zhang We, Ziwei Wang, Xiang Li
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108885-108885
Closed Access | Times Cited: 113
Intelligent Machinery Fault Diagnosis With Event-Based Camera
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 380-389
Closed Access | Times Cited: 95
Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication
Shixiang Lü, Zhiwei Gao, Qifa Xu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 9101-9111
Open Access | Times Cited: 92
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
Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data
Xiang Li, Zhang We, Xu Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 1903-1913
Closed Access | Times Cited: 64
Digital Twin Enabled Domain Adversarial Graph Networks for Bearing Fault Diagnosis
Ke Feng, Yadong Xu, Yulin Wang, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 1, pp. 113-122
Open Access | Times Cited: 59
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
Bin Yang, Yaguo Lei, Xiang Li, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122997-122997
Closed Access | Times Cited: 53
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
Xu Li, Chi Zhang, Xiang Li, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 523-535
Closed Access | Times Cited: 48
A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 47
Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing
X Chen, Xiang Li, Shupeng Yu, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 3, pp. 788-790
Open Access | Times Cited: 30
Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 10, pp. 2068-2081
Closed Access | Times Cited: 30
State of charge prediction of lithium-ion batteries for electric aircraft with swin transformer
Wei Zhang, Hongshen Hao, Ye-Wei Zhang
IEEE/CAA Journal of Automatica Sinica (2024), pp. 1-3
Open Access | Times Cited: 26
Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis
Huixin Yang, Xiang Li, Zhang We
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055005-055005
Closed Access | Times Cited: 57
FL-Defender: Combating targeted attacks in federated learning
Najeeb Moharram Jebreel, Josep Domingo‐Ferrer
Knowledge-Based Systems (2022) Vol. 260, pp. 110178-110178
Open Access | Times Cited: 45
Study of the performance and scalability of federated learning for medical imaging with intermittent clients
Judith Sáinz-Pardo Díaz, Álvaro López García
Neurocomputing (2022) Vol. 518, pp. 142-154
Open Access | Times Cited: 40
A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery
Marcelo Romanssini, Paulo César C. de Aguirre, Lucas Compassi-Severo, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 3, pp. 1797-1817
Open Access | Times Cited: 37
Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis
Chao Zhao, Weiming Shen
Advanced Engineering Informatics (2023) Vol. 59, pp. 102262-102262
Closed Access | Times Cited: 32
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
Privacy-preserving Federated Learning and its application to natural language processing
Balázs Nagy, István Hegedüs, Noémi Sándor, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110475-110475
Open Access | Times Cited: 24
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
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
FTSDC: A novel federated transfer learning strategy for bearing cross-machine fault diagnosis based on dual-correction training
Zhenhao Yan, Zifeng Xu, Yixiang Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102499-102499
Closed Access | Times Cited: 9
Data privacy protection: A novel federated transfer learning scheme for bearing fault diagnosis
Lilan Liu, Zhenhao Yan, Tingting Zhang, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111587-111587
Open Access | Times Cited: 8
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
Lina Ge, Haiao Li, Xiao Wang, et al.
Neurocomputing (2023) Vol. 561, pp. 126897-126897
Closed Access | Times Cited: 21
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