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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:

Edge-Based Communication Optimization for Distributed Federated Learning
Tian Wang, Yan Liu, Xi Zheng, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 9, Iss. 4, pp. 2015-2024
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

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: 142
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
Ηλίας Δρίτσας, Μαρία Τρίγκα
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 1, pp. 9-9
Open Access | Times Cited: 2
Fedstellar: A Platform for Decentralized Federated Learning
Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122861-122861
Open Access | Times Cited: 24
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
Shuo Yuan, Bin Cao, Yao Sun, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 3, pp. 3120-3134
Closed Access | Times Cited: 11
A hierarchical federated learning framework for collaborative quality defect inspection in construction
Haitao Wu, Heng Li, Hung-Lin Chi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108218-108218
Closed Access | Times Cited: 6
Federated Learning With Over-the-Air Aggregation Over Time-Varying Channels
Büşra Tegin, Tolga M. Duman
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 8, pp. 5671-5684
Closed Access | Times Cited: 14
EIDLS: An Edge-Intelligence-Based Distributed Learning System Over Internet of Things
Tian Wang, Bing Sun, Liang Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 7, pp. 3966-3978
Closed Access | Times Cited: 13
LR2Scheduler: layer-aware, resource-balanced, and request-adaptive container scheduling for edge computing
Wentao Peng, Zhiqing Tang, Jianxiong Guo, et al.
CCF Transactions on Pervasive Computing and Interaction (2025)
Closed Access
Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey
Muhammad Asad, Saima Shaukat, Dou Hu, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7358-7358
Open Access | Times Cited: 11
Communication-Efficient Federated Learning for Heterogeneous Clients
Ying Li, Xingwei Wang, Haodong Li, et al.
ACM Transactions on Internet Technology (2025)
Closed Access
Privacy-preserving distributed optimization algorithm for directed networks via state decomposition and external input
Mengjie Xu, Nuerken Saireke, Jimin Wang
Electronic Research Archive (2025) Vol. 33, Iss. 3, pp. 1431-1447
Open Access
Computation-transferable authenticated key agreement protocol for smart healthcare
Wenming Wang, Haiping Huang, Fu Xiao, et al.
Journal of Systems Architecture (2021) Vol. 118, pp. 102215-102215
Closed Access | Times Cited: 25
A lightweight verifiable trust based data collection approach for sensor–cloud systems
Jiawei Guo, Haoyang Wang, Wei Liu, et al.
Journal of Systems Architecture (2021) Vol. 119, pp. 102219-102219
Closed Access | Times Cited: 23
A Trust-Based Hierarchical Consensus Mechanism for Consortium Blockchain in Smart Grid
Xingguo Jiang, Aidong Sun, Yan Sun, et al.
Tsinghua Science & Technology (2022) Vol. 28, Iss. 1, pp. 69-81
Open Access | Times Cited: 18
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications
Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, et al.
Advances in Human-Computer Interaction (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 9
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou, Jun Zhao, Huimei Han, et al.
2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) (2022)
Open Access | Times Cited: 14
Deep Reinforcement Learning for Time-Energy Tradeoff Online Offloading in MEC-Enabled Industrial Internet of Things
Xianlong Jiao, Hongjun Ou, Shiguang Chen, et al.
IEEE Transactions on Network Science and Engineering (2023), pp. 1-14
Closed Access | Times Cited: 8
Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands
Omar Alnajar, Ahmed Barnawi
Computer Networks (2023) Vol. 231, pp. 109712-109712
Closed Access | Times Cited: 7
A new federated learning-based wireless communication and client scheduling solution for combating COVID-19
Shuhong Chen, Zhiyong Jie, Guojun Wang, et al.
Computer Communications (2023) Vol. 206, pp. 101-109
Open Access | Times Cited: 7
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks
Jiajun Wu, Steve Drew, Jiayu Zhou
ICC 2022 - IEEE International Conference on Communications (2023), pp. 985-990
Open Access | Times Cited: 7
Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach
Weijian Pan, Xiumin Wang, Pan Zhou, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1402-1415
Closed Access | Times Cited: 2
CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning
Ran Zhang, Fangqi Liu, Jiang Liu, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 9424-9436
Closed Access | Times Cited: 2
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan, Jianwei Huang
(2021), pp. 1-8
Open Access | Times Cited: 17
Maliciously roaming person's detection around hospital surface using intelligent cloud-edge based federated learning
S. Gokulakrishnan, Muhammad Aslam Jarwar, Mohammed Hasan Ali, et al.
Journal of Combinatorial Optimization (2022) Vol. 45, Iss. 1
Closed Access | Times Cited: 11
A Privacy-Preserving Mobile Crowdsensing Scheme Based on Blockchain and Trusted Execution Environment
Tao Peng, Kejian Guan, Jierong Liu
IEICE Transactions on Information and Systems (2022) Vol. E105.D, Iss. 2, pp. 215-226
Open Access | Times Cited: 9
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