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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:

Management of Digital Twin-Driven IoT Using Federated Learning
Sawsan AbdulRahman, Safa Otoum, Ouns Bouachir, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 11, pp. 3636-3649
Closed Access | Times Cited: 14

Showing 14 citing articles:

A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning
Tesfahunegn Minwuyelet Mengistu, Taewoon Kim, Jenn-Wei Lin
Sensors (2024) Vol. 24, Iss. 3, pp. 968-968
Open Access | Times Cited: 14
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Hani Sami, Ahmad Hammoud, Mohamad Arafeh, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2914-2960
Closed Access | Times Cited: 14
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
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
Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
Licheng Jiao, Y Shao, Long Sun, et al.
IEEE Access (2024) Vol. 12, pp. 133245-133314
Open Access | Times Cited: 4
Distributed and trustworthy Digital Twin platform based on blockchain and Web3 technologies
Seyed Mojtaba Hosseini Bamakan, Saeed Banaeian Far
Cyber Security and Applications (2024) Vol. 3, pp. 100064-100064
Open Access | Times Cited: 2
CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks
Sawsan AbdulRahman, Ouns Bouachir, Safa Otoum, et al.
Vehicular Communications (2024) Vol. 47, pp. 100769-100769
Closed Access | Times Cited: 1
Generating synthetic data using GANs fusion in the digital twins model for sonars
Dawid Połap, Antoni Jaszcz, Katarzyna Prokop
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-6
Closed Access | Times Cited: 1
Optimized Task Scheduling and Virtual Object Management Based on Digital Twin for Distributed Edge Computing Networks
Rongxu Xu, Chan‐Won Park, Salabat Khan, et al.
IEEE Access (2023) Vol. 11, pp. 114790-114810
Open Access | Times Cited: 2
From On-Board Data to Network Knowledge: A Group-Based Federated Learning Approach for Vehicular Networks
Sawsan AbdulRahman, Firas Albalas
Contributions to finance and accounting (2024), pp. 631-640
Closed Access
Federated Learning on the Go: Building Stable Clusters and Optimizing Resources on the Road
Sawsan AbdulRahman, Safa Otoum, Ouns Bouachir
Vehicular Communications (2024) Vol. 51, pp. 100870-100870
Closed Access
Future Research Directions
Xiaobo Zhou, Shuxin Ge, Jiancheng Chi, et al.
(2024), pp. 195-206
Closed Access
Employing Federated Learning for the Implication of Digital Twin
Fakhreldin Saeed, Momina Shaheen, T. Umer, et al.
(2024), pp. 93-122
Closed Access
2023 Index IEEE Journal on Selected Areas in Communications Vol. 41

IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 12, pp. 3945-3998
Open Access
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