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:

FedQMIX: Communication-efficient federated learning via multi-agent reinforcement learning
Shaohua Cao, Hanqing Zhang, Tian Wen, et al.
High-Confidence Computing (2023) Vol. 4, Iss. 2, pp. 100179-100179
Open Access | Times Cited: 5

Showing 5 citing articles:

IoT-enabled wireless sensor networks optimization based on federated reinforcement learning for enhanced performance
Gummarekula Sattibabu, G. Nagarajan, R. Senthil Kumaran
Peer-to-Peer Networking and Applications (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 1

Value of Information: A Comprehensive Metric for Client Selection in Federated Edge Learning
Yifei Zou, Shikun Shen, Mengbai Xiao, et al.
IEEE Transactions on Computers (2024) Vol. 73, Iss. 4, pp. 1152-1164
Closed Access | Times Cited: 4

Incentivizing task offloading in IoT: A distributed auctions-based DRL approach
Soumeya Demil, Mohammed Riyadh Abdmeziem
Internet of Things (2025) Vol. 30, pp. 101493-101493
Closed Access

Optimization methods in fully cooperative scenarios: a review of multiagent reinforcement learning
Tao Yang, X.F. Shi, Qinghan Zeng, et al.
Frontiers of Information Technology & Electronic Engineering (2025) Vol. 26, Iss. 4, pp. 479-509
Closed Access

Federated Neural Machine Translation Using Multi-agent Reinforcement Learning
Kantaro Kitagawa, Yohei Murakami
Lecture notes in computer science (2024), pp. 148-158
Closed Access

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