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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:

Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Mohammad Al-Quraan, Lina Mohjazi, Lina Bariah, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 3, pp. 957-979
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review
Sofia Polymeni, Stefanos Plastras, Dimitrios N. Skoutas, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2651-2651
Open Access | Times Cited: 60
Strengthening Security, Privacy, and Trust in Artificial Intelligence Drones for Smart Cities
R. Sonia, Neha Gupta, K. Manikandan, et al.
Advances in information security, privacy, and ethics book series (2024), pp. 214-242
Closed Access | Times Cited: 40
Federated split learning for sequential data in satellite–terrestrial integrated networks
Weiwei Jiang, Haoyu Han, Yang Zhang, et al.
Information Fusion (2023) Vol. 103, pp. 102141-102141
Closed Access | Times Cited: 32
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: 16
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
Danish Javeed, Muhammad Shahid Saeed, Ijaz Ahmad, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 577-597
Open Access | Times Cited: 15
Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework
Mohammad Kamrul Hasan, A.K.M. Ahasan Habib, Shayla Islam, et al.
Alexandria Engineering Journal (2024) Vol. 91, pp. 658-668
Open Access | Times Cited: 12
The Journey Toward 6G: A Digital and Societal Revolution in the Making
Lina Mohjazi, Bassant Selim, Mallik Tatipamula, et al.
IEEE Internet of Things Magazine (2024) Vol. 7, Iss. 2, pp. 119-128
Open Access | Times Cited: 10
A Lightweight AI-Based Approach for Drone Jamming Detection
Sergio Cibecchini, Francesco Chiti, Laura Pierucci
Future Internet (2025) Vol. 17, Iss. 1, pp. 14-14
Open Access | Times Cited: 1
IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms
Ado Adamou Abba Ari, Faustin Samafou, Arouna Ndam Njoya, et al.
IET Networks (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
Mohamed Amine Ferrag, Othmane Friha, Burak Kantarcı, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2654-2713
Open Access | Times Cited: 23
Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment
Satheesh Abimannan, El-Sayed M. El-Alfy, Shahid Hussain, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13951-13951
Open Access | Times Cited: 21
A Sequential Three-Way Decision-Based Group Consensus Method With Regret Theory Under Interval Multi-Scale Decision Information Systems
Yibin Xiao, Jianming Zhan, Chao Zhang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1670-1686
Closed Access | Times Cited: 8
On challenges of sixth-generation (6G) wireless networks: A comprehensive survey of requirements, applications, and security issues
Muhammad Sajjad Akbar, Zawar Hussain, Muhammad Ikram, et al.
Journal of Network and Computer Applications (2024) Vol. 233, pp. 104040-104040
Open Access | Times Cited: 7
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
Juan Marcelo Parra-Ullauri, Xunzheng Zhang, Anderson Bravalheri, et al.
IEEE Network (2024) Vol. 38, Iss. 2, pp. 9-17
Open Access | Times Cited: 5
A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking
Seyha Ros, Prohim Tam, Inseok Song, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 2, pp. 1333-1364
Open Access | Times Cited: 5
Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey
Muhammad Asad, Saima Shaukat, Dou Hu, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7358-7358
Open Access | Times Cited: 13
Synergizing Federated Learning and In-Memory Computing
J. K. Periasamy, S. Subhashini, M. Mutharasu, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2024), pp. 89-123
Closed Access | Times Cited: 4
Congruent Learning for Self-Regulated Federated Learning in 6G
Jalil Taghia, Farnaz Moradi, Hannes Larsson, et al.
IEEE Transactions on Machine Learning in Communications and Networking (2024) Vol. 2, pp. 129-149
Open Access | Times Cited: 3
Asynchronous Privacy-Preservation Federated Learning Method for Mobile Edge Network in Industrial Internet of Things Ecosystem
John Owoicho Odeh, Xiaolong Yang, Cosmas Ifeanyi Nwakanma, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1610-1610
Open Access | Times Cited: 2
A Federated Learning-Based Resource Allocation Scheme for Relaying-Assisted Communications in Multicellular Next Generation Network Topologies
Ioannis A. Bartsiokas, Panagiotis K. Gkonis, Dimitra I. Kaklamani, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 390-390
Open Access | Times Cited: 2
Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition
Mohammad Al-Quraan, Ahmed Zoha, Anthony Centeno, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 10146-10160
Open Access | Times Cited: 2
Researching the CNN Collaborative Inference Mechanism for Heterogeneous Edge Devices
Jian Wang, C.L. Philip Chen, Shiwei Li, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4176-4176
Open Access | Times Cited: 2
The Journey Towards 6G: A Digital and Societal Revolution in the Making
Lina Mohjazi, Bassant Selim, Mallik Tatipamula, et al.
(2023)
Open Access | Times Cited: 4
Quantum-Empowered Federated Learning and 6G Wireless Networks for IoT Security: Concept, Challenges and Future Directions
Danish Javeed, Muhammad Shahid Saeed, Ijaz Ahmad, et al.
(2023)
Open Access | Times Cited: 4
Investigating Federated Learning Implementation Challenges in 6G Network
Suman Paul
(2024), pp. 1-6
Closed Access | Times Cited: 1
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