OpenAlex Citation Counts

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:

AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
Momina Shaheen, Muhammad Shoaib Farooq, T. Umer
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 6

Showing 6 citing articles:

A Comprehensive Survey on Rare Event Prediction
Chathurangi Shyalika, Ruwan Wickramarachchi, Amit Sheth
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-39
Open Access | Times Cited: 10

Client aware adaptive federated learning using UCB-based reinforcement for people re-identification
Dinah Waref, Yomna Alayary, Nadeen Fathallah, et al.
Journal of Cloud Computing Advances Systems and Applications (2025) Vol. 14, Iss. 1
Open Access

Disaster identification scheme based on federated learning and Cognitive Internet of Vehicles
Muhammad Junaid Anjum, Muhammad Shoaib Farooq, T. Umer, et al.
Computer Communications (2025), pp. 108216-108216
Closed Access

BGFL: a blockchain-enabled group federated learning at wireless industrial edges
Guozheng Peng, Xiaoyun Shi, Jun Zhang, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1

Personalized client-edge-cloud hierarchical federated learning in mobile edge computing
Chunmei Ma, Xiangqian Li, Baogui Huang, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access

Overcoming Data Imbalance in Federated Learning with Calibration Weighting
Nathaniel Kang, Y.H. Lim, Jongho Im
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7832-7841
Closed Access

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Requested Article:

Showing 6 citing articles:

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