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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:

Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks
Hengxi Zhang, Chengyue Lu, Huaze Tang, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 3, pp. 2667-2679
Closed Access | Times Cited: 11

Showing 11 citing articles:

Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions
Mohammad Parvini, Philipp Schulz, Gerhard Fettweis
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 1958-1974
Open Access | Times Cited: 4
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future
Inam Ullah, Sushil Kumar Singh, Deepak Adhikari, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101878-101878
Closed Access
Resource allocation in V2X communication: State-of-the-art and research challenges
Anuja Nair, Sudeep Tanwar
Physical Communication (2024) Vol. 64, pp. 102351-102351
Closed Access | Times Cited: 3
A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network
Yao Wang, Chungang Yang, Tong Li, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2798-2835
Closed Access | Times Cited: 2
Context-aware resource allocation for vehicle-to-vehicle communications in cellular-V2X networks
Fuxin Zhang, Guangping Wang
Ad Hoc Networks (2024) Vol. 163, pp. 103582-103582
Closed Access | Times Cited: 2
Joint Resource Allocation and String-Stable CACC Design with Multi-Agent Reinforcement Learning
Mohammad Parvini, Arturo González, Andrés Villamil, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 1232-1237
Closed Access | Times Cited: 5
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
Network Slicing Resource Allocation Optimization Based on Multiactor-Attention-Critic Joint With Bidding in Heterogeneous Integrated Network
Geng Chen, Xu Zhang, Shuhu Qi, et al.
IEEE Systems Journal (2024) Vol. 18, Iss. 2, pp. 1186-1197
Closed Access
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
Boosting Vehicular Connectivity through Resource Allocation Algorithm Based on Heterogeneous Agent Proximal Policy Optimization
Junhui Zhao, Xincheng Xiong, Qingmiao Zhang, et al.
Vehicular Communications (2024) Vol. 50, pp. 100856-100856
Closed Access
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