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 26-50 of 570 citing articles:

Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare
Abdullah Lakhan, Mazin Abed Mohammed, Jan Nedoma, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 664-672
Closed Access | Times Cited: 130

Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions
Juncen Zhu, Jiannong Cao, Divya Saxena, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 11, pp. 1-31
Closed Access | Times Cited: 129

Asynchronous federated learning on heterogeneous devices: A survey
Chenhao Xu, Youyang Qu, Yong Xiang, et al.
Computer Science Review (2023) Vol. 50, pp. 100595-100595
Open Access | Times Cited: 129

A Survey of Blockchain and Intelligent Networking for the Metaverse
Yuchuan Fu, Changle Li, F. Richard Yu, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 4, pp. 3587-3610
Closed Access | Times Cited: 125

Blockchain Meets Metaverse and Digital Asset Management: A Comprehensive Survey
Vu Tuan Truong, Long Bao Le, Dusit Niyato
IEEE Access (2023) Vol. 11, pp. 26258-26288
Open Access | Times Cited: 120

Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey
Abdul Rehman Javed, Muhammad Abul Hassan, Faisal Shahzad, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4394-4394
Open Access | Times Cited: 117

Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions
Bo Yang, Xuelin Cao, Kai Xiong, et al.
IEEE Wireless Communications (2021) Vol. 28, Iss. 2, pp. 40-47
Open Access | Times Cited: 106

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks
Tejasvi Alladi, Vinay Chamola, Nishad Sahu, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 2, pp. 1212-1239
Open Access | Times Cited: 87

Security of Vehicular Ad Hoc Networks using blockchain: A comprehensive review
Jyoti Grover
Vehicular Communications (2022) Vol. 34, pp. 100458-100458
Closed Access | Times Cited: 84

Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition
Kan Xie, Zhe Zhang, Bo Li, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 9, pp. 9980-9992
Open Access | Times Cited: 74

Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial Intelligence
Gueltoum Bendiab, Amina Hameurlaine, Georgios Germanos, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 3614-3637
Closed Access | Times Cited: 74

Federated learning in smart cities: Privacy and security survey
Rasha Al-Huthaifi, Tianrui Li, Wei Huang, et al.
Information Sciences (2023) Vol. 632, pp. 833-857
Closed Access | Times Cited: 67

Lightweight-BIoV: Blockchain Distributed Ledger Technology (BDLT) for Internet of Vehicles (IoVs)
Asif Ali Laghari, Abdullah Ayub Khan, Reem Alkanhel, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 677-677
Open Access | Times Cited: 65

UAV-Enabled Covert Federated Learning
Xiangwang Hou, Jingjing Wang, Chunxiao Jiang, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 10, pp. 6793-6809
Closed Access | Times Cited: 59

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning
Zhilin Wang, Qin Hu, Ruinian Li, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 5, pp. 1536-1547
Open Access | Times Cited: 51

Blockchain Intelligence for Internet of Vehicles: Challenges and Solutions
Xiaojie Wang, Hailin Zhu, Zhaolong Ning, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2325-2355
Closed Access | Times Cited: 50

A Survey of Blockchain and Artificial Intelligence for 6G Wireless Communications
Yiping Zuo, Jiajia Guo, Ning Gao, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2494-2528
Open Access | Times Cited: 48

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: 45

A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions
Brian Hildebrand, Mohamed Baza, Tara Salman, et al.
Computer Science Review (2023) Vol. 48, pp. 100547-100547
Open Access | Times Cited: 41

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 119-137
Open Access | Times Cited: 40

BlockLLM: A futuristic LLM-based decentralized vehicular network architecture for secure communications
Usama Arshad, Zahid Halim
Computers & Electrical Engineering (2025) Vol. 123, pp. 110027-110027
Closed Access | Times Cited: 2

Dynamic Digital Twin and Federated Learning With Incentives for Air-Ground Networks
Wen Sun, Ning Xu, Lu Wang, et al.
IEEE Transactions on Network Science and Engineering (2020) Vol. 9, Iss. 1, pp. 321-333
Closed Access | Times Cited: 128

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
Xiaofei Wang, Ruibin Li, Chenyang Wang, et al.
IEEE Journal on Selected Areas in Communications (2020) Vol. 39, Iss. 1, pp. 154-169
Open Access | Times Cited: 116

CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing
Laizhong Cui, Xiaoxin Su, Zhongxing Ming, et al.
IEEE Internet of Things Journal (2020) Vol. 9, Iss. 16, pp. 14151-14161
Closed Access | Times Cited: 109

Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
Saeed Hamood Alsamhi, Faris A. Almalki, Fatemeh Afghah, et al.
IEEE Transactions on Green Communications and Networking (2021) Vol. 6, Iss. 1, pp. 295-312
Open Access | Times Cited: 99

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