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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:

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani, Ekram Hossain
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 2, pp. 1226-1252
Open Access | Times Cited: 229

Showing 1-25 of 229 citing articles:

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen, Denız Gündüz, Kaibin Huang, et al.
IEEE Journal on Selected Areas in Communications (2021) Vol. 39, Iss. 12, pp. 3579-3605
Open Access | Times Cited: 345
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G
Yuanwei Liu, Shuowen Zhang, Xidong Mu, et al.
IEEE Journal on Selected Areas in Communications (2022) Vol. 40, Iss. 4, pp. 1037-1071
Open Access | Times Cited: 320
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
Mohammad Mahdi Azari, Sourabh Solanki, Symeon Chatzinotas, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 4, pp. 2633-2672
Open Access | Times Cited: 263
Intelligent Computing: The Latest Advances, Challenges, and Future
Shiqiang Zhu, Ting Yu, Tao Xu, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 122
Five Facets of 6G: Research Challenges and Opportunities
Li-Hsiang Shen, Kai‐Ten Feng, Lajos Hanzo
ACM Computing Surveys (2022) Vol. 55, Iss. 11, pp. 1-39
Open Access | Times Cited: 89
Edge Intelligence: A Computational Task Offloading Scheme for Dependent IoT Application
Han Xiao, Changqiao Xu, Yunxiao Ma, et al.
IEEE Transactions on Wireless Communications (2022) Vol. 21, Iss. 9, pp. 7222-7237
Closed Access | Times Cited: 81
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 4, pp. 2366-2418
Open Access | Times Cited: 81
A Transcoding-Enabled 360° VR Video Caching and Delivery Framework for Edge-Enhanced Next-Generation Wireless Networks
Han Xiao, Changqiao Xu, Zichen Feng, et al.
IEEE Journal on Selected Areas in Communications (2022) Vol. 40, Iss. 5, pp. 1615-1631
Closed Access | Times Cited: 77
Deep multiagent reinforcement learning: challenges and directions
Annie Wong, Thomas Bäck, Anna V. Kononova, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5023-5056
Open Access | Times Cited: 74
Explainable AI Over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc‐Viet Pham, Rukhsana Ruby, et al.
IEEE Open Journal of the Communications Society (2022) Vol. 3, pp. 2106-2136
Open Access | Times Cited: 70
Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches
Yu Bai, Huijun Zhao, X. L. Zhang, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 3038-3067
Open Access | Times Cited: 60
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2611-2646
Open Access | Times Cited: 24
Revolutionizing Future Connectivity: A Contemporary Survey on AI-Empowered Satellite-Based Non-Terrestrial Networks in 6G
Shadab Mahboob, Lingjia Liu
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 2, pp. 1279-1321
Open Access | Times Cited: 22
Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges
Abdulraqeb Alhammadi, Ibraheem Shayea, Ayman A. El‐Saleh, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-27
Closed Access | Times Cited: 19
Joint Computation Offloading and Resource Allocation in Multi-edge Smart Communities with Personalized Federated Deep Reinforcement Learning
Zheyi Chen, Bing Xiong, Xing Chen, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 11604-11619
Closed Access | Times Cited: 15
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu, Xiaojing Chen, Wei Ni, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 3, pp. 1458-1493
Open Access | Times Cited: 93
Multi-Agent DRL-Based Hungarian Algorithm (MADRLHA) for Task Offloading in Multi-Access Edge Computing Internet of Vehicles (IoVs)
M. Alam, Abbas Jamalipour
IEEE Transactions on Wireless Communications (2022) Vol. 21, Iss. 9, pp. 7641-7652
Closed Access | Times Cited: 66
Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
Muhammad Morshed Alam, Muhammad Yeasir Arafat, Sangman Moh, et al.
Journal of Network and Computer Applications (2022) Vol. 207, pp. 103495-103495
Closed Access | Times Cited: 60
Deep Reinforcement Learning Based Resource Allocation in Multi-UAV-Aided MEC Networks
Jingxuan Chen, Xianbin Cao, Peng Yang, et al.
IEEE Transactions on Communications (2022) Vol. 71, Iss. 1, pp. 296-309
Closed Access | Times Cited: 55
Multi-Agent Reinforcement Learning-Based Distributed Channel Access for Next Generation Wireless Networks
Ziyang Guo, Zhenyu Chen, Peng Liu, et al.
IEEE Journal on Selected Areas in Communications (2022) Vol. 40, Iss. 5, pp. 1587-1599
Closed Access | Times Cited: 53
A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization
Charles Ssengonzi, Okuthe P. Kogeda, Thomas O. Olwal
Array (2022) Vol. 14, pp. 100142-100142
Open Access | Times Cited: 53
Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges
Qinqin Tang, F. Richard Yu, Renchao Xie, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 3, pp. 1394-1434
Open Access | Times Cited: 46
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
Peng Wei, Kun Guo, Ye Li, et al.
IEEE Access (2022) Vol. 10, pp. 65156-65192
Open Access | Times Cited: 45
Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT
Qi Guo, Fengxiao Tang, Nei Kato
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 7228-7236
Closed Access | Times Cited: 45
Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning
Zubair Md. Fadlullah, Bomin Mao, Nei Kato
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 4, pp. 2419-2448
Closed Access | Times Cited: 43
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