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:

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity
Jinglong Shen, Nan Cheng, Xiucheng Wang, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 5462-5478
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks
T. Chen, Jintao Yan, Yuxuan Sun, et al.
IEEE Transactions on Vehicular Technology (2025) Vol. 74, Iss. 1, pp. 1657-1673
Open Access | Times Cited: 2

Speed Up Federated Learning in Heterogeneous Environments: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5026-5035
Closed Access | Times Cited: 8

Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, et al.
(2024), pp. 680-691
Open Access | Times Cited: 7

Knowledge-Driven Resource Allocation for Wireless Networks: A WMMSE Unrolled Graph Neural Network Approach
Hao Yang, Nan Cheng, Ruijin Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18902-18916
Closed Access | Times Cited: 6

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
Zhiyu Shao, Qiong Wu, Pingyi Fan, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 23, pp. 38521-38536
Open Access | Times Cited: 5

GSFL: A Privacy-preserving Grouping-Split Federated Learning Approach in Resource-constrained Edge Computing Scenarios
Qi Liu, Z. Wang, Xiaokang Zhou, et al.
ACM Transactions on Autonomous and Adaptive Systems (2025)
Closed Access

Federated Learning-Based Cross-layer Security Design for Satellite Networks
Zhisheng Yin, Yonghong Liu, Nan Cheng, et al.
(2025), pp. 65-76
Closed Access

Estimating the Training Time in Single- and Multi-Hop Split Federated Learning
Joana Tirana, Spyros Lalis, Dimitris Chatzopoulos
(2025), pp. 37-42
Closed Access

FEDGA: FL with Dynamic Gradient and Group Normalization
Chuang Ma, Yang Xu, Guangxia Xu
Communications in computer and information science (2025), pp. 265-280
Closed Access

Multiagent Federated Deep-Reinforcement-Learning-Based Collaborative Caching Strategy for Vehicular Edge Networks
Honghai Wu, Baibing Wang, Huahong Ma, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 14, pp. 25198-25212
Closed Access | Times Cited: 3

Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning over Vehicular Edge Networks
Maoqiang Wu, Ruibin Yang, Xumin Huang, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 10, pp. 15860-15865
Closed Access | Times Cited: 3

Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach
Jinglong Shen, Xiucheng Wang, Nan Cheng, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 5847-5852
Open Access | Times Cited: 4

Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
Yeguang Qin, Yilin Yang, Fengxiao Tang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 11000-11013
Open Access | Times Cited: 1

Machine Learning-Based Infrastructure Sharing and Shared Operations for Intelligent Reflecting Surface-Aided Communications
Hiroaki Hashida, Yuichi Kawamoto, Nei Kato
IEEE Transactions on Cognitive Communications and Networking (2023) Vol. 10, Iss. 1, pp. 198-208
Closed Access | Times Cited: 2

Collaborative Human Recognition With Lightweight Models in Drone-Based Search and Rescue Operations
Lijuan Xu, Qinghai Yang, Meng Qin, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 2, pp. 1765-1776
Closed Access | Times Cited: 2

A Fair and Efficient Federated Learning Algorithm for Autonomous Driving
Xinlong Tang, Jiayi Zhang, Yuchuan Fu, et al.
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) (2023), pp. 1-5
Closed Access | Times Cited: 2

UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-off
Xiaokun Fan, Yali Chen, Min Liu, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 5, pp. 6993-7006
Closed Access | Times Cited: 1

Split Federated Learning-Empowered Energy-Efficient Mobile Traffic Prediction Over UAVs
Faranaksadat Solat, Joohyung Lee, Dusit Niyato
IEEE Wireless Communications Letters (2024) Vol. 13, Iss. 11, pp. 3064-3068
Closed Access

FedGroup-Prune: IoT Device Amicable and Training-Efficient Federated Learning via Combined Group Lasso Sparse Model Pruning
ZiYao Chen, Jialiang Peng, Jiawen Kang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 40921-40932
Closed Access

Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
Xianke Qiang, Zheng Chang, Yun Hu, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 4591-4604
Closed Access

A Hierarchical Blockchain-Enabled Secure Aggregation Algorithm for Federated Learning in IoV
Yuchuan Fu, Xiaojian Niu, Lingling Zhou, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5876-5890
Closed Access

A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
Boyu Fan, Siyang Jiang, Xiang Su, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7725-7734
Closed Access

A Rotating Server Scheme for Secure Federated Learning in Networked Autonomous Driving
Tianyu Chang, Yuchuan Fu, Pincan Zhao, et al.
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) (2023), pp. 1-5
Closed Access

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