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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 adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Mingkuan Shi, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109880-109880
Closed Access | Times Cited: 53

Showing 1-25 of 53 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
Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109463-109463
Open Access | Times Cited: 43
Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples
Yi Qin, Hongyu Liu, Yi Wang, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111641-111641
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
A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions
Tianyu Gao, Jingli Yang, Wenmin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110449-110449
Closed Access | Times Cited: 15
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110172-110172
Closed Access | Times Cited: 40
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
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition
Wenhui Guo, Guixun Xu, Yanjiang Wang
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104998-104998
Closed Access | Times Cited: 24
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
Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios
Qiu‐Ning Zhu, Hongqi Liu, Chenyu Bao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102445-102445
Closed Access | Times Cited: 7
Label noise analysis meets adversarial training: A defense against label poisoning in federated learning
Ehsan Hallaji, Roozbeh Razavi–Far, Mehrdad Saif, et al.
Knowledge-Based Systems (2023) Vol. 266, pp. 110384-110384
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
Rolling Bearing Fault Diagnosis Method Based On Dual Invariant Feature Domain Generalization
Yining Xie, Jiangtao Shi, Cong Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108128-108128
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
Decentralized federated domain generalization with cluster alignment for fault diagnosis
Danya Xu, Mingwei Jia, Tao Chen, et al.
Control Engineering Practice (2024) Vol. 148, pp. 105951-105951
Closed Access | Times Cited: 5
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106477-106477
Closed Access | Times Cited: 15
An information-induced fault diagnosis framework generalizing from stationary to unknown nonstationary working conditions
Jianing Liu, Hongrui Cao, Yang Luo
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109380-109380
Closed Access | Times Cited: 14
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
Domain generalization for machine compound fault diagnosis by Domain-Relevant Joint Distribution Alignment
Huayan Pu, Shouwei Teng, Dengyu Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102771-102771
Closed Access | Times Cited: 4
Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method
Xiaoming Yuan, Dongling Shi, Nian Shi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102807-102807
Closed 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
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