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:

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: 50

Showing 1-25 of 50 citing articles:

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, et al.
IEEE Transactions on Cognitive Communications and Networking (2022) Vol. 8, Iss. 3, pp. 1566-1593
Open Access | Times Cited: 89

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: 8

Exploring Blockchain Technology through a Modular Lens: A Survey
Minghui Xu, Yihao Guo, Chunchi Liu, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-39
Open Access | Times Cited: 6

Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
Yanna Jiang, Baihe Ma, Xu Wang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-37
Open Access | Times Cited: 6

Trust in ESG reporting: The intelligent Veri-Green solution for incentivized verification
Liyuan Liu, Zhiguo Ma, Yiyun Zhou, et al.
Blockchain Research and Applications (2024) Vol. 5, Iss. 2, pp. 100189-100189
Open Access | Times Cited: 4

Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review
Ahmed Abdelmoamen Ahmed, Oluwayemisi O. Alabi
IEEE Access (2024) Vol. 12, pp. 102219-102241
Open Access | Times Cited: 4

Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
Ji Liu, Chunlu Chen, Yu Li, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 8, pp. 4377-4403
Closed Access | Times Cited: 3

A Survey on Blockchain-Based Federated Learning
Lang Wu, Weijian Ruan, Jinhui Hu, et al.
Future Internet (2023) Vol. 15, Iss. 12, pp. 400-400
Open Access | Times Cited: 9

FedRFQ: Prototype-Based Federated Learning With Reduced Redundancy, Minimal Failure, and Enhanced Quality
Biwei Yan, Hongliang Zhang, Minghui Xu, et al.
IEEE Transactions on Computers (2024) Vol. 73, Iss. 4, pp. 1086-1098
Open Access | Times Cited: 2

Computing Resource Allocation for Blockchain-Based Mobile Edge Computing
Wanbo Zhang, Yuqi Fan, Jun Zhang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 1, pp. 863-885
Open Access | Times Cited: 2

Federated Learning Incentive Mechanism with Supervised Fuzzy Shapley Value
Xun Yang, Shuwen Xiang, Changgen Peng, et al.
Axioms (2024) Vol. 13, Iss. 4, pp. 254-254
Open Access | Times Cited: 2

Blockchain-based Edge Resource Sharing for Metaverse
Zhilin Wang, Qin Hut, Minghui Xu, et al.
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (2022), pp. 620-626
Open Access | Times Cited: 14

Resource Optimization for Blockchain-Based Federated Learning in Mobile Edge Computing
Zhilin Wang, Qin Hu, Zehui Xiong, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 9, pp. 15166-15178
Open Access | Times Cited: 5

Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services
Xiaoxu Ren, Minrui Xu, Dusit Niyato, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 4, pp. 1655-1669
Closed Access | Times Cited: 1

A Blockchain-Based Fairness Guarantee Approach for Privacy-Preserving Collaborative Training in Computing Force Network
Zhe Sun, Weiping Li, Junxi Liang, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 718-718
Open Access | Times Cited: 1

A Cooperative Analysis to Incentivize Communication-Efficient Federated Learning
Youqi Li, Fan Li, Song Yang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 10175-10190
Closed Access | Times Cited: 1

Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach
Fang Fu, Yan Wang, Li Shu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 20958-20969
Closed Access | Times Cited: 1

Graph Neural Network Based Asynchronous Federated Learning for Digital Twin-Driven Distributed Multi-Agent Dynamical Systems
Xuanzhu Sheng, Yang Zhou, Xiaolong Cui
Mathematics (2024) Vol. 12, Iss. 16, pp. 2469-2469
Open Access | Times Cited: 1

An incentive mechanism for horizontal federated learning based on principle of compound interest
Jingjing Guo, Liangcheng Xiong, Jiaxing Li, et al.
Physical Communication (2023) Vol. 60, pp. 102128-102128
Closed Access | Times Cited: 4

Federated Learning Incentive Mechanism Design via Shapley Value and Pareto Optimality
Xun Yang, Shuwen Xiang, Changgen Peng, et al.
Axioms (2023) Vol. 12, Iss. 7, pp. 636-636
Open Access | Times Cited: 4

Incentive mechanism design for Federated Learning with Stackelberg game perspective in the industrial scenario
Wei Guo, Yijin Wang, Pingyu Jiang
Computers & Industrial Engineering (2023) Vol. 184, pp. 109592-109592
Closed Access | Times Cited: 4

A Double Auction for Charging Scheduling among Vehicles Using DAG-Blockchains
Jianxiong Guo, Xingjian Ding, Weili Wu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 9

Blockchain-Assisted Reputation Mechanism for Distributed Cloud Storage
Qing Dong, Jinchuan Tang, Shuping Dang, et al.
IEEE Systems Journal (2023) Vol. 17, Iss. 4, pp. 6334-6345
Open Access | Times Cited: 2

A game incentive mechanism for energy efficient federated learning in computing power networks
Lin Xiao, Ruolin Wu, Haibo Mei, et al.
Digital Communications and Networks (2023)
Open Access | Times Cited: 2

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