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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 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

Showing 1-25 of 93 citing articles:

Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy
Cheena Mohanty, Sakuntala Mahapatra, Biswaranjan Acharya, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5726-5726
Open Access | Times Cited: 60
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
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
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109601-109601
Closed Access | Times Cited: 29
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123008-123008
Closed Access | Times Cited: 28
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
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions
Shuilong He, Qianwen Cui, Jinglong Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111192-111192
Closed Access | Times Cited: 10
Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis
Quan Qian, Jun Luo, Yi Qin
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5704-5716
Closed Access | Times Cited: 10
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
A personalized federated meta-learning method for intelligent and privacy-preserving fault diagnosis
Xiangjie Zhang, Chuanjiang Li, Changkun Han, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102781-102781
Closed Access | Times Cited: 10
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines
Wentao Mao, Wen Zhang, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109695-109695
Closed Access | Times Cited: 18
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111255-111255
Closed Access | Times Cited: 16
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
A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mu Mingzhe, et al.
Reliability Engineering & System Safety (2024), pp. 110662-110662
Closed 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
Observer‐based fault diagnosis for autonomous systems
Agus Hasan
International Journal of Robust and Nonlinear Control (2024) Vol. 34, Iss. 8, pp. 5250-5269
Open 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
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains
Zongkai Liu, Ke Zhao, Haidong Shao, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124094-124094
Closed Access | Times Cited: 5
Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study
SM Zobaed, Mohsen Amini Salehi
Software Practice and Experience (2025)
Open Access
Enhancing personalized model construction and privacy protection in federated learning with generative adversarial networks and parameter sparsification
Zhongyuan Jing, Ruyan Wang
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
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
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