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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:

Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles
Yunlong Lu, Xiaohong Huang, Ke Zhang, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 4, pp. 4298-4311
Closed Access | Times Cited: 570

Showing 1-25 of 570 citing articles:

A survey on security and privacy of federated learning
Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, et al.
Future Generation Computer Systems (2020) Vol. 115, pp. 619-640
Closed Access | Times Cited: 879
Federated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 3, pp. 1622-1658
Open Access | Times Cited: 778
Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications
Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, et al.
IEEE Access (2020) Vol. 8, pp. 140699-140725
Open Access | Times Cited: 521
A Survey on Federated Learning for Resource-Constrained IoT Devices
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 1, pp. 1-24
Closed Access | Times Cited: 455
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Dinh C. Nguyen, Ming Ding, Quoc‐Viet Pham, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 16, pp. 12806-12825
Open Access | Times Cited: 424
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems
Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 2, pp. 1342-1397
Open Access | Times Cited: 397
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging
Rajesh Kumar, Abdullah Aman Khan, Jay Kumar, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 14, pp. 16301-16314
Open Access | Times Cited: 392
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks
Yunlong Lu, Xiaohong Huang, Ke Zhang, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 7, pp. 5098-5107
Open Access | Times Cited: 364
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, et al.
IEEE Open Journal of the Computer Society (2020) Vol. 1, pp. 45-61
Open Access | Times Cited: 306
Federated learning review: Fundamentals, enabling technologies, and future applications
Syreen Banabilah, Moayad Aloqaily, Eitaa Alsayed, et al.
Information Processing & Management (2022) Vol. 59, Iss. 6, pp. 103061-103061
Closed Access | Times Cited: 275
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 4, pp. 4312-4324
Open Access | Times Cited: 233
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks
Yunlong Lu, Xiaohong Huang, Ke Zhang, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 4, pp. 2276-2288
Closed Access | Times Cited: 215
Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles
Xiaokang Zhou, Wei Liang, Jinhua She, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 70, Iss. 6, pp. 5308-5317
Closed Access | Times Cited: 209
Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach
Md. Abdur Rahman, M. Shamim Hossain, Mohammad Saiful Islam, et al.
IEEE Access (2020) Vol. 8, pp. 205071-205087
Open Access | Times Cited: 208
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management
Helin Yang, Jun Zhao, Zehui Xiong, et al.
IEEE Journal on Selected Areas in Communications (2021) Vol. 39, Iss. 10, pp. 3144-3159
Open Access | Times Cited: 193
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor–Critic Learning Approach
Lei Liu, Jie Feng, Qingqi Pei, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 4, pp. 2342-2353
Closed Access | Times Cited: 167
Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey
Wael Issa, Nour Moustafa, Benjamin Turnbull, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-43
Closed Access | Times Cited: 167
Edge Intelligence for Energy-Efficient Computation Offloading and Resource Allocation in 5G Beyond
Yueyue Dai, Ke Zhang, Sabita Maharjan, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 10, pp. 12175-12186
Open Access | Times Cited: 162
Adaptive Edge Association for Wireless Digital Twin Networks in 6G
Yunlong Lu, Sabita Maharjan, Yan Zhang
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 22, pp. 16219-16230
Closed Access | Times Cited: 162
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
Peiying Zhang, Chao Wang, Chunxiao Jiang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8475-8484
Open Access | Times Cited: 155
Autonomous vehicles in 5G and beyond: A survey
Saqib Hakak, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, et al.
Vehicular Communications (2022) Vol. 39, pp. 100551-100551
Open Access | Times Cited: 147
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 141
Blockchain-enabled Federated Learning: A Survey
Youyang Qu, Md Palash Uddin, Chenquan Gan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-35
Open Access | Times Cited: 139
Edge Intelligence: Empowering Intelligence to the Edge of Network
Dianlei Xu, Tong Li, Yong Li, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 11, pp. 1778-1837
Open Access | Times Cited: 131
Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review
Rateb Jabbar, Eya Dhib, Ahmed Ben Said, et al.
IEEE Access (2022) Vol. 10, pp. 20995-21031
Open Access | Times Cited: 130
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