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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:

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

Showing 17 citing articles:

Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds
Jingjie Luo, Haidong Shao, Jian Lin, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110001-110001
Closed Access | Times Cited: 89
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
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
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
Defend Against Property Inference Attack for Flight Operations Data Sharing in FedMeta Framework
Jin Lei, Weiyun Li, Meng Yue, et al.
Aerospace (2025) Vol. 12, Iss. 1, pp. 41-41
Open Access
Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective
Pei Ling Lai, Fan Zhang, Tianrui Li, et al.
Information Sciences (2025), pp. 121996-121996
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
Meta-learning for enhancing machines' intelligence in manufacturing
Goran D. Putnik
Tehnika (2025) Vol. 80, Iss. 1, pp. 57-75
Open Access
Federated learning at the edge in Industrial Internet of Things: A review
Sunil Kumar, Maryam Vahabi, Hossein Fotouhi
Sustainable Computing Informatics and Systems (2025), pp. 101087-101087
Open Access
Meta-Learning With Distributional Similarity Preference for Few-Shot Fault Diagnosis Under Varying Working Conditions
Chao Ren, Bin Jiang, Ningyun Lu, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2746-2756
Closed Access | Times Cited: 10
FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition
Nguyen Anh Tu, Assanali Abu, Nartay Aikyn, et al.
(2024), pp. 270-279
Closed Access | Times Cited: 2
Few-Shot Remote Sensing Scene Recognition via Feature Enhancing Learning
Ye Rong, Qingyi Kong, Guanglong Wang
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 2
Large-Scale Decentralized Asynchronous Federated Edge Learning with Device Heterogeneity
Liang Xuan, Jianhua Tang, Tony Q. S. Quek
ICC 2022 - IEEE International Conference on Communications (2024), pp. 4566-4571
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.
(2024)
Closed Access
Long-Term Client Selection for Federated Learning With Non-IID Data: A Truthful Auction Approach
Jinghong Tan, Zhoujiang Liu, Kun Guo, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 4953-4970
Closed Access
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT
Jiao Chen, Fengjian Mao, Zuohong Lv, et al.
(2023), pp. 390-396
Open Access
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