Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks
Chuan Sun, Xiuhua Li, Junhao Wen, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 3, pp. 690-705
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
Joohyung Lee, Faranaksadat Solat, Tae Yeon Kim, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2176-2212
Closed Access | Times Cited: 22
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks
Qiong Wu, Wenhua Wang, Pingyi Fan, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 4, pp. 4179-4196
Open Access | Times Cited: 21
Content Caching Strategies With On-Device Recommendation Systems in Wireless Caching Systems
Minjoong Rim
IEEE Access (2024) Vol. 12, pp. 28186-28200
Open Access | Times Cited: 5
Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
Licheng Jiao, Y Shao, Long Sun, et al.
IEEE Access (2024) Vol. 12, pp. 133245-133314
Open Access | Times Cited: 5
Adaptive federated deep reinforcement learning for edge offloading in heterogeneous AGI-MEC networks
Chenchen Fan, Qingling Wang
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
Joint DRL and GCN-based Cloud-Edge-End collaborative cache optimization for metaverse scenarios
Zheng Wan, S. P. Zhao, C. Wang, et al.
Computer Networks (2025), pp. 111239-111239
Closed Access
Multi-Agent Reinforcement Learning-Based Joint Caching and Routing in Heterogeneous Networks
Meiyi Yang, Deyun Gao, Chuan Heng Foh, et al.
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 10, Iss. 5, pp. 1959-1974
Closed Access | Times Cited: 3
FedRL: A Reinforcement Learning Federated Recommender System for Efficient Communication Using Reinforcement Selector and Hypernet Generator
Yicheng Di, Hongjian Shi, Ruhui Ma, et al.
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 3
A Unified Federated Deep Q Learning Caching Scheme for Scalable Collaborative Edge Networks
Ming Zhao, Mohammad Reza Nakhai
IEEE Transactions on Mobile Computing (2024), pp. 1-12
Open Access | Times Cited: 2
Performance-Designated Reinforcement Learning Enclosing Control for UAVs With Collision-Free Capability
一平 山下, Xingling Shao, Zewei Mei, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12644-12656
Closed Access | Times Cited: 2
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Zifan Zhang, Yuchen Liu, Zhiyuan Peng, et al.
IEEE Journal on Selected Areas in Communications (2024) Vol. 42, Iss. 11, pp. 3306-3320
Open Access | Times Cited: 2
Mobile Collaborative Learning Over Opportunistic Internet of Vehicles
Wenchao Xu, Haozhao Wang, Zhaoyi Lu, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 4, pp. 3187-3199
Closed Access | Times Cited: 5
Recommendation-Enabled Edge Caching and D2D Offloading via Incentive-Driven Deep Reinforcement Learning
Tong Wu, Dongjin Yu, Chengfei Liu, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 4, pp. 1724-1738
Closed Access | Times Cited: 1
Collaborative Video Caching in the Edge Network using Deep Reinforcement Learning
Anirban Lekharu, P. C. Gupta, Arijit Sur, et al.
ACM Transactions on Internet of Things (2024) Vol. 5, Iss. 3, pp. 1-26
Open Access | Times Cited: 1
Federated Distributed Deep Reinforcement Learning for Recommendation-enabled Edge Caching
Huan Zhou, Hao Wang, Zhiwen Yu, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 6, pp. 3640-3656
Closed Access | Times Cited: 1
Joint Computation Offloading and Service Caching in Mobile Edge-Cloud Computing via Deep Reinforcement Learning
Ce Shang, Youliang Huang, Yan Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 40331-40344
Closed Access | Times Cited: 1
FedDA: Resource-adaptive federated learning with dual-alignment aggregation optimization for heterogeneous edge devices
Shaohua Cao, Huixin Wu, Xiwen Wu, et al.
Future Generation Computer Systems (2024) Vol. 163, pp. 107551-107551
Closed Access | Times Cited: 1
A survey of edge caching security: Framework, methods, and challenges
Hang Zhang, Jinsong Wang, Zening Zhao, et al.
Journal of Systems Architecture (2024), pp. 103306-103306
Closed Access | Times Cited: 1
Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain
Waqar Ali, Xiangmin Zhou, Jie Shao
ACM Computing Surveys (2024)
Closed Access | Times Cited: 1
Deep Learning Techniques in Mobile Edge Computing for Internet of Medical Things
Abdulwadood Alawadhi, R. Badlishah Ahmad, Abdullah Almogahed, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration
Xinyu Zhang, Zhigang Hu, Yang Liang, et al.
Journal of Grid Computing (2024) Vol. 22, Iss. 1
Closed Access
Immersive Multimedia Service Caching in Edge Cloud with Renewable Energy
M. Shamim Hossain, Yixue Hao, Long Hu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 6, pp. 1-23
Closed Access
Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey
Mohsen Khani, Shahram Jamali, Mohammad Karim Sohrabi, et al.
International Journal of Communication Systems (2024) Vol. 37, Iss. 13
Closed Access
Edge-Federated Self-Supervised Communication Optimization Framework Based on Sparsification and Quantization Compression
Yifei Ding
Journal of Computer and Communications (2024) Vol. 12, Iss. 05, pp. 140-150
Open Access
Cache Strategy for Joint Content Recommendation and D2D Collaboration
Xiaoyan Zhao, Fengxian Hou, Yan Kuang, et al.
(2024), pp. 915-920
Closed Access
Page 1 - Next Page

Scroll to top