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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.

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Showing 1-25 of 56 citing articles:

An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things
Venkata Ashok K Gorantla, Shiva Kumar Sriramulugari, Amit Hasmukhbhai Mewada, et al.
(2023)
Closed Access | Times Cited: 55
Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions
Qiang Duan, Jun Huang, Shijing Hu, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2892-2950
Closed Access | Times Cited: 49
Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning
Franklin Oliveira, Daniel G. Costa, Flávio Assis, et al.
Internet of Things (2024) Vol. 26, pp. 101153-101153
Open Access | Times Cited: 38
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis, et al.
IEEE Access (2024) Vol. 12, pp. 9890-9930
Open Access | Times Cited: 18
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 11
Distributed Learning in the IoT–Edge–Cloud Continuum
Audris Arzovs, Jānis Judvaitis, Krišjānis Nesenbergs, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 283-315
Open Access | Times Cited: 9
Collaborative learning
Lucia Innocenti, Michela Antonelli, Sébastien Ourselin, et al.
Elsevier eBooks (2025), pp. 427-440
Closed Access | Times Cited: 1
HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services
Ruijun Deng, Xin Du, Zhihui Lu, et al.
(2023)
Closed Access | Times Cited: 18
Federated learning using game strategies: State-of-the-art and future trends
Rajni Gupta, J. P. Gupta
Computer Networks (2023) Vol. 225, pp. 109650-109650
Closed Access | Times Cited: 17
A Blockchain-Assisted Intelligent Edge Cooperation System for IoT Environments With Multi-Infrastructure Providers
Xin Du, Xuzhao Chen, Zhihui Lu, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21227-21239
Closed Access | Times Cited: 17
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2703-2703
Open Access | Times Cited: 17
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing
Ervin Moore, Ahmed Imteaj, Shabnam Rezapour, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21942-21958
Open Access | Times Cited: 16
PPSFL: Privacy-Preserving Split Federated Learning for heterogeneous data in edge-based Internet of Things
Jiali Zheng, Yixin Chen, Qijia Lai
Future Generation Computer Systems (2024) Vol. 156, pp. 231-241
Closed Access | Times Cited: 5
Decentralized and Distributed Learning for AIoT: A Comprehensive Review, Emerging Challenges, and Opportunities
Hanyue Xu, Kah Phooi Seng, Li-Minn Ang, et al.
IEEE Access (2024) Vol. 12, pp. 101016-101052
Open Access | Times Cited: 5
Advancements and challenges in privacy-preserving split learning: experimental findings and future directions
Afnan Alhindi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail
International Journal of Information Security (2025) Vol. 24, Iss. 3
Closed Access
A Comprehensive Analysis of Privacy-Preserving Solutions Developed for IoT-Based Systems and Applications
Abdul Majeed, Sakshi Patni, Seong Oun Hwang
Electronics (2025) Vol. 14, Iss. 11, pp. 2106-2106
Open Access
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
Joohyung Lee, Mohamed Seif, Jungchan Cho, et al.
IEEE Network (2024) Vol. 38, Iss. 6, pp. 388-395
Open Access | Times Cited: 3
Distributed computing in multi-agent systems: a survey of decentralized machine learning approaches
Ijaz Ahmed, Miswar Akhtar Syed, Muhammad Maaruf, et al.
Computing (2024) Vol. 107, Iss. 1
Closed Access | Times Cited: 3
High-Precision Cluster Federated Learning for Smart Home: An Edge-Cloud Collaboration Approach
Chao Li, Hui Yang, Zhengjie Sun, et al.
IEEE Access (2023) Vol. 11, pp. 102157-102168
Open Access | Times Cited: 7
CRSFL: Cluster-based resource-aware split federated learning for continuous authentication
Mohamad Wazzeh, Mohamad Arafeh, Hani Sami, et al.
Journal of Network and Computer Applications (2024) Vol. 231, pp. 103987-103987
Open Access | Times Cited: 2
InvMetrics: Measuring Privacy Risks for Split Model–Based Customer Behavior Analysis
Ruijun Deng, Shijing Hu, Junxiong Lin, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4168-4177
Closed Access | Times Cited: 2
CoLLaRS : A cloud–edge–terminal collaborative lifelong learning framework for AIoT
Shijing Hu, Junxiong Lin, Zhihui Lu, et al.
Future Generation Computer Systems (2024) Vol. 158, pp. 447-456
Closed Access | Times Cited: 2
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Zhuohang Li, Chao Yan, Xinmeng Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Federated Split Learning via Mutual Knowledge Distillation
L.X. Luo, Xinglin Zhang
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 3, pp. 2729-2741
Closed Access | Times Cited: 1
Applications of Federated Learning in Healthcare—A New Paradigm for Digital Health
Anurag Singh, Soumili Biswas, Sayantika Samui, et al.
Smart innovation, systems and technologies (2024), pp. 593-605
Closed Access | Times Cited: 1
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