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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:

Reviewing Federated Learning Aggregation Algorithms; Strategies, Contributions, Limitations and Future Perspectives
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2287-2287
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
Joohyung Lee, Faranaksadat Solat, Tae Yeon Kim, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2176-2212
Closed Access | Times Cited: 22
An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation
Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Mst. Sazia Tahosin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Democratizing AI in Africa: Federated Learning for Low-Resource Edge Devices
Jorge Fabila, Víctor M. Campello, Carlos Martín-Isla, et al.
Communications in computer and information science (2025), pp. 101-109
Closed Access | Times Cited: 1
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
Samaneh Mohammadi, Ali Balador, Sima Sinaei, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 192, pp. 104918-104918
Open Access | Times Cited: 14
Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review
Wilson Valdez, Juan Marcelo Parra-Ullauri, Attila Kertész
IEEE Access (2024) Vol. 12, pp. 68015-68060
Open Access | Times Cited: 5
A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos
Shagun Sharma, Kalpna Guleria, Ayush Dogra, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0316543-e0316543
Open Access
A Review of Federated Learning in Agriculture
Krista Rizman Žalik, Mitja Žalik
Sensors (2023) Vol. 23, Iss. 23, pp. 9566-9566
Open Access | Times Cited: 13
Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends
Christos Papadopoulos, Konstantinos-Filippos Kollias, George F. Fragulis
Future Internet (2024) Vol. 16, Iss. 11, pp. 415-415
Open Access | Times Cited: 4
Federated learning applications in soil spectroscopy
Giannis Gallios, Nikolaos Tsakiridis, Nikolaos Tziolas
Geoderma (2025) Vol. 456, pp. 117259-117259
Open Access
Federated Learning for Collaborative Robotics: A ROS 2-Based Approach
G. Gutierrez-Quintana, J. A. Rincon, Vicente Julián
Electronics (2025) Vol. 14, Iss. 7, pp. 1323-1323
Open Access
Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions
Jadil Alsamiri, Khalid Alsubhi
Future Internet (2023) Vol. 15, Iss. 12, pp. 403-403
Open Access | Times Cited: 10
Federated learning analysis for vehicular traffic flow prediction: evaluation of learning algorithms and aggregation approaches
Nidhi Nidhi, Jyoti Grover
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5075-5091
Closed Access | Times Cited: 3
A federated learning aided system for classifying cervical cancer using PAP-SMEAR images
Nazia Shehnaz Joynab, Muhammad Nazrul Islam, Ramiza Rumaisa Aliya, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101496-101496
Open Access | Times Cited: 3
A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges
Mohammed H. Alsharif, Raju Kannadasan, Wei Wei, et al.
Internet of Things (2024) Vol. 27, pp. 101251-101251
Closed Access | Times Cited: 3
Harnessing the power of machine learning for crop improvement and sustainable production
Seyed Mahdi Hosseiniyan Khatibi, Jauhar Ali
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Federated Versus Central Machine Learning on Diabetic Foot Ulcer Images: Comparative Simulations
Mahdi Saeedi, Hamed Taheri Gorji, Fartash Vasefi, et al.
IEEE Access (2024) Vol. 12, pp. 58960-58971
Open Access | Times Cited: 2
Data Distribution-Aware Model Aggregation for non-IID Data in a Federated Learning Framework
Deepali Kushwaha, Ananya Mehrotra, Rajesh M. Hegde
(2024), pp. 1-7
Closed Access | Times Cited: 2
Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption
Bingxue Zhang, Guangguang Lu, Pengpeng Qiu, et al.
Entropy (2023) Vol. 25, Iss. 11, pp. 1550-1550
Open Access | Times Cited: 6
Medical Data in Wireless Body Area Networks: Device Authentication Techniques and Threat Mitigation Strategies Based on a Token-Based Communication Approach
Jan Herbst, Matthias Rüb, Sogo Pierre Sanon, et al.
Network (2024) Vol. 4, Iss. 2, pp. 133-149
Open Access | Times Cited: 1
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski, Luca Barbieri, Bernardo Camajori Tedeschini, et al.
(2024), pp. 1017-1023
Open Access | Times Cited: 1
Sowing the Seeds of Precision: Innovations in Wireless Sensor Networks for Agricultural Environmental Monitoring
Sreedeep Dey, Sreejita Das
International Journal on AdHoc Networking Systems (2024) Vol. 14, Iss. 2/3, pp. 01-17
Open Access | Times Cited: 1
Advancing Autonomous Driving Through Federated Learning
Khushi Allawadi, Shreya Panwar, Mitali Chugh
Advances in business information systems and analytics book series (2024), pp. 1-30
Closed Access | Times Cited: 1
Fed-RHLP: Enhancing Federated Learning with Random High-Local Performance Client Selection for Improved Convergence and Accuracy
Pramote Sittijuk, Kreangsak Tamee
Symmetry (2024) Vol. 16, Iss. 9, pp. 1181-1181
Open Access | Times Cited: 1
Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 1
Privacy-Preserving Federated Learning-Based Intrusion Detection Technique for Cyber-Physical Systems
Syeda Aunanya Mahmud, Nazmul Islam, Md Zahidul Islam, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3194-3194
Open Access | Times Cited: 1
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