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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:

BESIFL: Blockchain-Empowered Secure and Incentive Federated Learning Paradigm in IoT
Yajing Xu, Zhihui Lu, Keke Gai, et al.
IEEE Internet of Things Journal (2021) Vol. 10, Iss. 8, pp. 6561-6573
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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: 47
BFL-SA: Blockchain-based federated learning via enhanced secure aggregation
Yizhong Liu, Zixiao Jia, Zixu Jiang, et al.
Journal of Systems Architecture (2024) Vol. 152, pp. 103163-103163
Closed Access | Times Cited: 30
Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation
Ruizhe Yang, Tonghui Zhao, F. Richard Yu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21674-21688
Closed Access | Times Cited: 18
Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
Muhammad Morshed Alam, Muhammad Yeasir Arafat, Sangman Moh, et al.
Journal of Network and Computer Applications (2022) Vol. 207, pp. 103495-103495
Closed Access | Times Cited: 60
Blockchain-Enabled Federated Learning for UAV Edge Computing Network: Issues and Solutions
Chaoyang Zhu, Zhu Xiao, Junyu Ren, et al.
IEEE Access (2022) Vol. 10, pp. 56591-56610
Open Access | Times Cited: 38
BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT
Yiming Xiao, Haidong Shao, Lin Jian, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14241-14252
Closed Access | Times Cited: 34
Adaptive Resource Allocation for Blockchain-Based Federated Learning in Internet of Things
Jiaxiang Zhang, Yiming Liu, Xiaoqi Qin, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 12, pp. 10621-10635
Closed Access | Times Cited: 23
Decentralized federated learning based on blockchain: concepts, framework, and challenges
Haoran Zhang, Shan Jiang, Shichang Xuan
Computer Communications (2024) Vol. 216, pp. 140-150
Closed Access | Times Cited: 14
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
Decision Tree-Based Federated Learning: A Survey
Zijun Wang, Keke Gai
Blockchains (2024) Vol. 2, Iss. 1, pp. 40-60
Open Access | Times Cited: 10
Anomaly Detection for Internet of Things Cyberattacks
Manal Alanazi, Ahamed Aljuhani
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 1, pp. 261-279
Open Access | Times Cited: 31
Economic Systems in the Metaverse: Basics, State of the Art, and Challenges
Huawei Huang, Qinnan Zhang, Taotao Li, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-33
Open Access | Times Cited: 17
Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems
Laurence T. Yang, Ruonan Zhao, Debin Liu, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 3, pp. 1909-1940
Closed Access | Times Cited: 16
Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse
Ahmad Zainudin, Made Adi Paramartha Putra, Revin Naufal Alief, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18221-18236
Closed Access | Times Cited: 7
Pelican Optimization Algorithm with Federated Learning Driven Attack Detection model in Internet of Things environment
Fahd N. Al‐Wesabi, Hanan Abdullah Mengash, Radwa Marzouk, et al.
Future Generation Computer Systems (2023) Vol. 148, pp. 118-127
Closed Access | Times Cited: 13
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
Federated learning: A cutting-edge survey of the latest advancements and applications
Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, et al.
Computer Communications (2024) Vol. 228, pp. 107964-107964
Open Access | Times Cited: 5
Enhancing IoT security: a collaborative framework integrating federated learning, dense neural networks, and blockchain
Ahsan Nazir, Jingsha He, Nafei Zhu, et al.
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 8367-8392
Closed Access | Times Cited: 4
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects
Asadullah Tariq, Mohamed Adel Serhani, Farag Sallabi, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4920-4998
Open Access | Times Cited: 4
Blockchain-Based Federated Learning: A Survey and New Perspectives
Wanshan Ning, Y. Zhu, Caixia Song, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9459-9459
Open Access | Times Cited: 4
FRAD: Free-Rider Attacks Detection Mechanism for Federated Learning in AIoT
Bo Wang, Hongtao Li, Ximeng Liu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 4377-4388
Closed Access | Times Cited: 10
PBRL-TChain: A performance-enhanced permissioned blockchain for time-critical applications based on reinforcement learning
Yiguang Zhang, Junxiong Lin, Zhihui Lu, et al.
Future Generation Computer Systems (2024) Vol. 154, pp. 301-313
Closed Access | Times Cited: 3
Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains
Ιοannis Schoinas, Anna Triantafyllou, Dimosthenis Ioannidis, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5933-6017
Open Access | Times Cited: 3
Efficiency-enhanced Blockchain-based Client Selection in Heterogeneous Federated Learning
Zhiqi Lei, Keke Gai, Jing Yu, et al.
(2023), pp. 289-296
Closed Access | Times Cited: 7
BDVFL: Blockchain-based Decentralized Vertical Federated Learning
Shuo Wang, Keke Gai, Jing Yu, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 628-637
Closed Access | Times Cited: 7
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