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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:

VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems
Jiale Zhang, Yue Liu, Di Wu, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 4, pp. 981-989
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Review on security of federated learning and its application in healthcare
Hao Li, Chengcheng Li, Jian Wang, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 271-290
Closed Access | Times Cited: 68
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
Federated Learning for Edge Computing: A Survey
Alexander Brecko, Erik Kajáti, Jiří Koziorek, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9124-9124
Open Access | Times Cited: 62
Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey
Qipeng Xie, Siyang Jiang, Linshan Jiang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 14, pp. 24569-24580
Closed Access | Times Cited: 12
SVeriFL: Successive verifiable federated learning with privacy-preserving
Hang Gao, Ningxin He, Tiegang Gao
Information Sciences (2022) Vol. 622, pp. 98-114
Closed Access | Times Cited: 34
Survey: federated learning data security and privacy-preserving in edge-Internet of Things
Haiao Li, Lina Ge, Lei Tian
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 7
SVCA: Secure and Verifiable Chained Aggregation for Privacy-Preserving Federated Learning
Yuanjun Xia, Yining Liu, Shi Dong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18351-18365
Closed Access | Times Cited: 6
A verifiable and privacy-preserving blockchain-based federated learning approach
Irshad Ullah, Xiaoheng Deng, Xinjun Pei, et al.
Peer-to-Peer Networking and Applications (2023) Vol. 16, Iss. 5, pp. 2256-2270
Closed Access | Times Cited: 14
Federated Learning on Internet of Things: Extensive and Systematic Review
Meenakshi Aggarwal, Vikas Khullar, Sunita Rani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 1795-1834
Open Access | Times Cited: 4
Development of Heuristic Strategy With Hybrid Encryption for Energy Efficient and Secure Data Storage Scheme in Blockchain‐Based Mobile Edge Computing
Khaled Matrouk, Punithavathi Rasappan, Priyanka Bhutani, et al.
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 2
Closed Access
Federated Learning for Cloud and Edge Security: A Systematic Review of Challenges and AI Opportunities
Latifa Albshaier, Seetah Almarri, Abdullah Albuali
Electronics (2025) Vol. 14, Iss. 5, pp. 1019-1019
Open Access
A survey on security and privacy issues in wearable health monitoring devices
Bonan Zhang, Chao Chen, Ickjai Lee, et al.
Computers & Security (2025), pp. 104453-104453
Closed Access
Toward zero trust in 5G industrial internet collaboration systems
Han Zhang, Ziyan Zhang, Liquan Chen
Digital Communications and Networks (2024)
Open Access | Times Cited: 2
Computation and communication efficient approach for federated learning based urban sensing applications against inference attacks
Ayshika Kapoor, Dheeraj Kumar
Pervasive and Mobile Computing (2024) Vol. 98, pp. 101875-101875
Closed Access | Times Cited: 1
Privacy-preserving and verifiable classifier training in edge-assisted mobile communication systems
Chen Wang, Jian Xu, Haoran Li, et al.
Computer Communications (2024) Vol. 220, pp. 65-80
Closed Access | Times Cited: 1
Enhancing house inspections: UAVs integrated with LLMs for efficient AI-powered surveillance
Vu Trung Nguyen, Jingwen Zhou, Chengzu Dong, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. abs/2106.00666, pp. 1-8
Closed Access | Times Cited: 1
Distributed Learning in Intelligent Transportation Systems: A Survey
Qiong Li, Wanlei Zhou, Xi Zheng
Information (2024) Vol. 15, Iss. 9, pp. 550-550
Open Access | Times Cited: 1
A Stealthy Communication Model for Protecting Aggregated Results Integrity in Federated Learning
Lu Li, Xuan Sun, Ning Shi, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3870-3870
Open Access | Times Cited: 1
Federated learning incentivize with privacy-preserving for IoT in edge computing in the context of B5G
Nasir Ahmad Jalali, Hongsong Chen
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access | Times Cited: 1
Blockfd: blockchain-based federated distillation against poisoning attacks
Ye Li, Jiale Zhang, Junwu Zhu, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12901-12916
Closed Access
Empowering e-learning approach by the use of federated edge computing
Nouha Arfaoui, Amel Ksibi, Nouf Abdullah Almujally, et al.
Cluster Computing (2024) Vol. 27, Iss. 10, pp. 13737-13748
Closed Access
HSADR: A New Highly Secure Aggregation and Dropout-Resilient Federated Learning Scheme for Radio Access Networks With Edge Computing Systems
Fan Wu, Xiong Li, Jingwei Li, et al.
IEEE Transactions on Green Communications and Networking (2024) Vol. 8, Iss. 3, pp. 1141-1155
Closed Access
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction
Xinyu Wang, Qiang Feng, Li Ma, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 12, pp. 1-8
Closed Access
Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving
Junyao Liang, Juan Li, Ji Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 2, pp. 1-7
Closed Access
DPAD: Data Poisoning Attack Defense Mechanism for federated learning-based system
Santanu Basak, Kakali Chatterjee
Computers & Electrical Engineering (2024) Vol. 121, pp. 109893-109893
Closed Access
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