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:

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning Over Heterogeneous Mobile Edge Devices
Peichun Li, Hanwen Zhang, Yuan Wu, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 10001-10015
Open Access | Times Cited: 8

Showing 8 citing articles:

A framework reforming personalized Internet of Things by federated meta-learning
Linlin You, Zihan Guo, Chau Yuen, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism
Chen Shang, Dinh Thai Hoang, Min Hao, et al.
IEEE Wireless Communications Letters (2024) Vol. 13, Iss. 10, pp. 2742-2746
Closed Access | Times Cited: 2

Blockchain-Based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
Jiawen Kang, Luo Xiao-feng, Jiangtian Nie, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34254-34269
Open Access | Times Cited: 1

Optimizing Resource Allocation and Request Routing for AI-Generated Content (AIGC) Services in Mobile Edge Networks with Cell Coupling
Tao Deng, Dongyu Chen, Juncheng Jia, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 17911-17916
Closed Access | Times Cited: 1

Device Selection Methods in Federated Learning: A Survey
Aditee Mattoo, Neeraj Jain, Charu Gandhi
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 1

Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things
Jiayi He, Bingkun Lai, Jiawen Kang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 17, pp. 28064-28077
Closed Access

Bridging the Data Gap in Federated Preference Learning with AIGC
Chen-Yu Wang, Zhi Zhou, Xiaoxi Zhang, et al.
(2024), pp. 105-116
Closed Access

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
Yu Qiao, Chaoning Zhang, Apurba Adhikary, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 12, Iss. 2, pp. 636-652
Open Access

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