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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:

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
Xiaofei Wang, Ruibin Li, Chenyang Wang, et al.
IEEE Journal on Selected Areas in Communications (2020) Vol. 39, Iss. 1, pp. 154-169
Open Access | Times Cited: 118

Showing 1-25 of 118 citing articles:

Enabling Massive IoT Toward 6G: A Comprehensive Survey
Fengxian Guo, F. Richard Yu, Heli Zhang, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 15, pp. 11891-11915
Closed Access | Times Cited: 470
Energy-Efficient Joint Task Offloading and Resource Allocation in OFDMA-Based Collaborative Edge Computing
Lin Tan, Zhufang Kuang, Lian Zhao, et al.
IEEE Transactions on Wireless Communications (2021) Vol. 21, Iss. 3, pp. 1960-1972
Closed Access | Times Cited: 111
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
Minrui Xu, Hongyang Du, Dusit Niyato, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 2, pp. 1127-1170
Open Access | Times Cited: 90
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction
Xiaoming Yuan, Jiahui Chen, Jiayu Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 8, pp. 8738-8748
Closed Access | Times Cited: 75
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
Emerging trends in federated learning: from model fusion to federated X learning
Shaoxiong Ji, Yue Tan, Teemu Saravirta, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 9, pp. 3769-3790
Open Access | Times Cited: 19
Machine learning-based computation offloading in multi-access edge computing: A survey
Alok Choudhury, Manojit Ghose, Akhirul Islam, et al.
Journal of Systems Architecture (2024) Vol. 148, pp. 103090-103090
Closed Access | Times Cited: 16
Incentive-Driven Deep Reinforcement Learning for Content Caching and D2D Offloading
Huan Zhou, Tong Wu, Haijun Zhang, et al.
IEEE Journal on Selected Areas in Communications (2021) Vol. 39, Iss. 8, pp. 2445-2460
Closed Access | Times Cited: 89
Dynamic pricing and energy management for profit maximization in multiple smart electric vehicle charging stations: A privacy-preserving deep reinforcement learning approach
Sangyoon Lee, Dae‐Hyun Choi
Applied Energy (2021) Vol. 304, pp. 117754-117754
Closed Access | Times Cited: 77
Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning
Tianqing Zhu, Wei Zhou, Dayong Ye, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 2, pp. 1414-1426
Closed Access | Times Cited: 73
Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems
Minrui Xu, Jialiang Peng, Brij B. Gupta, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 22, pp. 22095-22108
Closed Access | Times Cited: 72
Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic
Chuan Sun, Xiongwei Wu, Xiuhua Li, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 11, Iss. 6, pp. 5601-5614
Closed Access | Times Cited: 63
DIMA: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning
Hao Tian, Xiaolong Xu, Ting-Yu Lin, et al.
World Wide Web (2021) Vol. 25, Iss. 5, pp. 1769-1792
Closed Access | Times Cited: 55
A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement
Linlin You, Sheng Liu, Yi Chang, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 23, pp. 24199-24211
Closed Access | Times Cited: 41
Efficient Federated DRL-Based Cooperative Caching for Mobile Edge Networks
Aleteng Tian, Bohao Feng, Huachun Zhou, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 20, Iss. 1, pp. 246-260
Closed Access | Times Cited: 41
Applicability of Deep Reinforcement Learning for Efficient Federated Learning in Massive IoT Communications
Prohim Tam, Riccardo Corrado, Chanthol Eang, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3083-3083
Open Access | Times Cited: 29
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges and Future Trends
Hafiz Muhammad Fahad Noman, Effariza Hanafi, Kamarul Ariffin Noordin, et al.
IEEE Access (2023) Vol. 11, pp. 83017-83051
Open Access | Times Cited: 24
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing
Dewen Qiao, Songtao Guo, Defang Liu, et al.
IEEE Transactions on Parallel and Distributed Systems (2022) Vol. 33, Iss. 12, pp. 4767-4782
Closed Access | Times Cited: 34
Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client
Funa Zhou, Shun Liu, Hamido Fujita, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121982-121982
Closed Access | Times Cited: 21
User-Preference-Learning-Based Proactive Edge Caching for D2D-Assisted Wireless Networks
Dongyang Li, Haixia Zhang, Hui Ding, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11922-11937
Closed Access | Times Cited: 20
AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
Huixian Gu, Liqiang Zhao, Zhu Han, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 2, pp. 1322-1385
Closed Access | Times Cited: 18
A Deep-Reinforcement-Learning-Based Social-Aware Cooperative Caching Scheme in D2D Communication Networks
Yalu Bai, Dan Wang, Gang Huang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 11, pp. 9634-9645
Closed Access | Times Cited: 16
Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning
Kexin Li, Xingwei Wang, Qiang He, et al.
IEEE Transactions on Services Computing (2023) Vol. 16, Iss. 4, pp. 2985-2999
Closed Access | Times Cited: 16
Joint Content Caching and Recommendation in Opportunistic Mobile Networks Through Deep Reinforcement Learning and Broad Learning
Dongjin Yu, Tong Wu, Chengfei Liu, et al.
IEEE Transactions on Services Computing (2023) Vol. 16, Iss. 4, pp. 2727-2741
Closed Access | Times Cited: 16
Layer Dependency-Aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing
Zhiqing Tang, Jiong Lou, Weijia Jia
IEEE Transactions on Mobile Computing (2022) Vol. 22, Iss. 6, pp. 3444-3459
Closed Access | Times Cited: 24
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