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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:

Deep Reinforcement Learning-Based Adaptive Computation Offloading for MEC in Heterogeneous Vehicular Networks
Hongchang Ke, Jian Wang, Lingyue Deng, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 7, pp. 7916-7929
Closed Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks
Haixia Peng, Xuemin Shen
IEEE Journal on Selected Areas in Communications (2020) Vol. 39, Iss. 1, pp. 131-141
Closed Access | Times Cited: 351
Priority-Aware Task Offloading in Vehicular Fog Computing Based on Deep Reinforcement Learning
Jinming Shi, Jun Du, Jingjing Wang, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 12, pp. 16067-16081
Closed Access | Times Cited: 141
Efficient Offloading for Minimizing Task Computation Delay of NOMA-Based Multiaccess Edge Computing
Bincheng Zhu, Kaikai Chi, Jiajia Liu, et al.
IEEE Transactions on Communications (2022) Vol. 70, Iss. 5, pp. 3186-3203
Closed Access | Times Cited: 121
Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking
Junhua Wang, Kun Zhu, Ekram Hossain
IEEE Transactions on Green Communications and Networking (2021) Vol. 6, Iss. 1, pp. 391-423
Open Access | Times Cited: 116
RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey
Jinshi Liu, Manzoor Ahmed, Muhammad Ayzed Mirza, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 11, pp. 8315-8338
Closed Access | Times Cited: 93
Joint Computation Offloading and Resource Allocation for Edge-Cloud Collaboration in Internet of Vehicles via Deep Reinforcement Learning
Jiwei Huang, Jiangyuan Wan, Bofeng Lv, et al.
IEEE Systems Journal (2023) Vol. 17, Iss. 2, pp. 2500-2511
Closed Access | Times Cited: 72
Federated Multi-Agent Deep Reinforcement Learning for Resource Allocation of Vehicle-to-Vehicle Communications
Xiang Li, Lingyun Lu, Wei Ni, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 8, pp. 8810-8824
Closed Access | Times Cited: 68
Efficiency and Fairness Oriented Dynamic Task Offloading in Internet of Vehicles
Chen Chen, Haofei Li, Huan Li, et al.
IEEE Transactions on Green Communications and Networking (2022) Vol. 6, Iss. 3, pp. 1481-1493
Closed Access | Times Cited: 67
Reinforcement Learning Methods for Computation Offloading: A Systematic Review
Zeinab Zabihi, Amir Masoud Eftekhari Moghadam, Mohammad Hossein Rezvani
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-41
Closed Access | Times Cited: 49
Profit Maximization of Independent Task Offloading in MEC-Enabled 5G Internet of Vehicles
Gang Sun, Zhiying Wang, Hanyue Su, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 16449-16461
Closed Access | Times Cited: 39
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning
Hongbiao Zhu, Qiong Wu, Xiao‐Jun Wu, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 14, pp. 12770-12782
Open Access | Times Cited: 83
Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning
Alessio Sacco, Flavio Esposito, Guido Marchetto, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 70, Iss. 5, pp. 5003-5015
Open Access | Times Cited: 71
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G
Abdelkader Mekrache, Abbas Bradai, Emmanuel Moulay, et al.
Vehicular Communications (2021) Vol. 33, pp. 100398-100398
Open Access | Times Cited: 66
Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks
Penglin Dai, Kai‐Wen Hu, Xiao Wu, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2021)
Closed Access | Times Cited: 64
Joint Offloading Decision and Resource Allocation for Vehicular Fog-Edge Computing Networks: A Contract-Stackelberg Approach
Yuwei Li, Bo Yang, Hao Wu, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 17, pp. 15969-15982
Open Access | Times Cited: 58
Multiagent Deep Reinforcement Learning for Task Offloading and Resource Allocation in Cybertwin-Based Networks
Wenjing Hou, Hong Wen, Huanhuan Song, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 22, pp. 16256-16268
Closed Access | Times Cited: 56
Revenue and Energy Efficiency-Driven Delay-Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach
Xinyu Huang, Lijun He, Xing Chen, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 11, pp. 8852-8868
Open Access | Times Cited: 56
Cooperative Computation Offloading in Blockchain-Based Vehicular Edge Computing Networks
Ping Lang, Daxin Tian, Xuting Duan, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 783-798
Closed Access | Times Cited: 56
CoPace: Edge Computation Offloading and Caching for Self-Driving With Deep Reinforcement Learning
Hao Tian, Xiaolong Xu, Lianyong Qi, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 70, Iss. 12, pp. 13281-13293
Open Access | Times Cited: 55
Double Deep Q-Network Based Dynamic Framing Offloading in Vehicular Edge Computing
Huijun Tang, Huaming Wu, Guanjin Qu, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 3, pp. 1297-1310
Closed Access | Times Cited: 54
A survey on vehicular task offloading: Classification, issues, and challenges
Manzoor Ahmed, Salman Raza, Muhammad Ayzed Mirza, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 7, pp. 4135-4162
Open Access | Times Cited: 47
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
Energy Efficient Joint Computation Offloading and Service Caching for Mobile Edge Computing: A Deep Reinforcement Learning Approach
Huan Zhou, Zhenyu Zhang, Yuan Wu, et al.
IEEE Transactions on Green Communications and Networking (2022) Vol. 7, Iss. 2, pp. 950-961
Closed Access | Times Cited: 45
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Arash Heidari, Nima Jafari Navimipour, Mohammad Ali Jabraeil Jamali, et al.
Sustainable Computing Informatics and Systems (2023) Vol. 39, pp. 100899-100899
Closed Access | Times Cited: 36
A comprehensive survey on reinforcement-learning-based computation offloading techniques in Edge Computing Systems
Diego Hortelano, Ignacio de Miguel, Ramón J. Durán Barroso, et al.
Journal of Network and Computer Applications (2023) Vol. 216, pp. 103669-103669
Open Access | Times Cited: 35
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