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 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

Showing 7 citing articles:

Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives
Adam Thelen, Xun Huan, Noah H. Paulson, et al.
npj Materials Sustainability (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 11

CLSM-FL: Clustering-Based Semantic Federated Learning in Non-IID IoT Environment
Hunmin Lee, Daehee Seo
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 18, pp. 29838-29851
Closed Access | Times Cited: 1

Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study
Fernanda Famá, Charalampos Kalalas, Sandra Lagén, et al.
2016 International Conference on Computing, Networking and Communications (ICNC) (2024), pp. 394-400
Open Access

Fault Diagnosis Method for Elevator Carriages Based on Temporal Generative Federated Distillation
G. Y. Zhang, Cong Li, Qi Sun
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045546-045546
Closed Access

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

An autoencoder-based confederated clustering leveraging a robust model fusion strategy for federated unsupervised learning
Nahid Hasan, Md. Golam Rabiul Alam, Shamim Ripon, et al.
Information Fusion (2024) Vol. 115, pp. 102751-102751
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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