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:

Deep Reinforcement Learning for Multi-Objective Resource Allocation in Multi-Platoon Cooperative Vehicular Networks
Yuanyuan Xu, Kun Zhu, Hu Xu, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 9, pp. 6185-6198
Closed Access | Times Cited: 18

Showing 18 citing articles:

QoS and Fairness Oriented Dynamic Computation Offloading in the Internet of Vehicles Based on Estimate Time of Arrival
Chen Ling, Weizhe Zhang, Hui He, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 7, pp. 10554-10571
Closed Access | Times Cited: 7

Decomposition and Meta-DRL Based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems
Yu Zhou, Lei Lei, Xiaohui Zhao, et al.
IEEE Journal on Selected Areas in Communications (2024) Vol. 42, Iss. 5, pp. 1115-1129
Open Access | Times Cited: 4

Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning
Peng Guo, Haichao Shi, Yi Wang, et al.
International Journal of Production Research (2024), pp. 1-25
Closed Access | Times Cited: 4

Priority-Driven Resource Allocation with Reuse for Platooning in 5G Vehicular Network
Tae-Woo Kim, Sanghoon Lee, Dong‐Hyung Lee, et al.
Sustainability (2025) Vol. 17, Iss. 4, pp. 1747-1747
Open Access

TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks
Xiaoyuan Fu, Quan Yuan, Zirui Zhuang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14370-14382
Closed Access | Times Cited: 4

Joint Accuracy and Latency Optimization for Quantized Federated Learning in Vehicular Networks
Xinran Zhang, Weilong Chen, Hui Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 17, pp. 28876-28890
Open Access | Times Cited: 1

HierNet: A Hierarchical Resource Allocation Method for Vehicle Platooning Networks
Xiaoyuan Fu, Quan Yuan, Guiyang Luo, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39579-39592
Closed Access | Times Cited: 1

DAR-DRL: A Dynamic Adaptive Routing Method based on Deep Reinforcement Learning
Zheheng Rao, Yanyan Xu, Ye Yao, et al.
Computer Communications (2024) Vol. 228, pp. 107983-107983
Closed Access | Times Cited: 1

Multitimescale Control and Communications With Deep Reinforcement Learning—Part I: Communication-Aware Vehicle Control
T.S. Liu, Lei Lei, Kan Zheng, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 9, pp. 15386-15401
Open Access | Times Cited: 2

Multitimescale Control and Communications With Deep Reinforcement Learning—Part II: Control-Aware Radio Resource Allocation
Lei Lei, T.S. Liu, Kan Zheng, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 9, pp. 15475-15489
Open Access | Times Cited: 2

Energy-Efficient Resource Allocation for V2X Communications
Yue Xu, Linjiang Zheng, Xiao Wu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 18, pp. 30014-30026
Closed Access

Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications
Nasir Khan, Sinem Coleri
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 16991-17006
Closed Access

Deep Reinforcement Learning for Sleep Control in 5G and Beyond Radio Access Networks: An Overview
Nessrine Trabelsi, Rihab Mâaloul, Lamia Chaari Fourati, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1404-1411
Closed Access

Coordinated Computing Resource Allocation With Efficiency Maximization in Heterogeneous Platoon Edge Network
Shuya Zhu, Kaitao Meng, Rui Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 15809-15826
Closed Access

Deep reinforcement learning for autonomous SideLink radio resource management in platoon-based C-V2X networks: An overview
Nessrine Trabelsi, Lamia Chaari Fourati, Wael Jaafar
Computer Networks (2024) Vol. 255, pp. 110901-110901
Closed Access

Performance Analysis of Vehicle to Infrastructure Network
Opel N. Mbanzabugabo, Charles Kabiri, Kayalvizhi Jayavel, et al.
(2023), pp. 1-6
Closed Access

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