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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 contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Xiao Zhang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111093-111093
Closed Access | Times Cited: 11

Showing 11 citing articles:

Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture
Junfeng Hao, Peng Chen, Juan Chen, et al.
Future Generation Computer Systems (2024) Vol. 159, pp. 77-90
Closed Access | Times Cited: 33
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10
Incremental bearing fault diagnosis method under imbalanced sample conditions
Gezhi Liu, Lifeng Wu
Computers & Industrial Engineering (2024) Vol. 192, pp. 110203-110203
Closed Access | Times Cited: 6
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
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
Multi-Sensor Graph Adaptive Federated Generalization for Helicopter Transmission System Fault Diagnosis
Kuangchi Sun, Aijun Yin
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Interpreting what typical fault signals look like via prototype-matching
Qian Chen, Xingjian Dong, Zhike Peng
Advanced Engineering Informatics (2024) Vol. 62, pp. 102849-102849
Open Access | Times Cited: 1
A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy
Jiechen Sun, Funa Zhou, Jie Chen, et al.
Entropy (2024) Vol. 26, Iss. 9, pp. 718-718
Open Access
ACFL: Communication-Efficient adversarial contrastive federated learning for medical image segmentation
Zhiwei Liang, Zhao Kui, Gang Liang, et al.
Knowledge-Based Systems (2024), pp. 112516-112516
Closed Access
SWIM: Sliding-Window Model contrast for federated learning
Heng‐Ru Zhang, Rui Chen, S. P. Wen, et al.
Future Generation Computer Systems (2024) Vol. 164, pp. 107590-107590
Closed Access
Label synchronization strategies for hybrid federated learning
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Reliability Engineering & System Safety (2024), pp. 110751-110751
Open Access
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