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 for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach
Jingjing Zheng, Kai Li, Naram Mhaisen, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2023), pp. 1-6
Open Access | Times Cited: 12

Showing 12 citing articles:

Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
Yichen Wan, Youyang Qu, Wei Ni, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 1861-1897
Open Access | Times Cited: 18

Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach
Kai Li, Jingjing Zheng, Xin Yuan, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 3465-3480
Open Access | Times Cited: 7

Nature‐Inspired Meta‐Heuristic Algorithms for Resource Allocation in the Internet of Things
Fatemeh Amirghafouri, Ali Akbar Neghabi, Hassan Shakeri, et al.
International Journal of Communication Systems (2025) Vol. 38, Iss. 5
Closed Access

Federated Learning for Enhanced Deep Learning Integration: A Practical Approach
Tejal Upadhyay, Divya Patadia, Sonia Mittal
Lecture notes in electrical engineering (2024), pp. 3-14
Closed Access

Joint Optimization of Charging Time and Resource Allocation in Wireless Power Transfer Assisted Federated Learning
Jingjiao Wang, Huan Zhou, Liang Zhao, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024), pp. 1-6
Closed Access

AC-DNN: An Adaptive Compact DNNs Architecture for Collaborative Learning Among Heterogeneous Smart Devices
Guangjun Wu, Fengxin Liu, Shuhao Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21072-21082
Closed Access

Adaptive Reverse Task Offloading in Edge Computing for Ai Processes
Petros Amanatidis, Dimitris Karampatzakis, Georgios Michailidis, et al.
(2024)
Closed Access

Jointly optimizing resource and heterogeneity in IoT networks using a Three-Stage Asynchronous Federated Reinforcement Learning
A. S. M. Sharifuzzaman Sagar, Yu Chen, Md Abdur Rob, et al.
Internet of Things (2024) Vol. 27, pp. 101242-101242
Closed Access

Joint Scheduling for Federated Learning in Battery-Powered IIoT with Multiple Services
Jianbo Wu, Hao Wu, Shaoshuai Fan, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2024), pp. 1-6
Closed Access

Leveraging Transfer Learning with Federated DRL for Autonomous Vehicles Platooning
Mohamed El Amine Ameur, Habiba Drias, Bouziane Brik, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1601-1606
Closed Access

An Overview of Machine Learning-Enabled Network Softwarization for the Internet of Things
Mohamed Ali Zormati, Hicham Lakhlef
2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (2023) Vol. 21, pp. 1-6
Open Access | Times Cited: 1

A pricing strategy for federated learning in UAV-enabled MEC
Mingyang Song, Chunlin Li, Youlong Luo
The Journal of Supercomputing (2023) Vol. 80, Iss. 8, pp. 10584-10609
Closed Access | Times Cited: 1

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