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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:

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

Showing 1-25 of 72 citing articles:

QoS-Aware Computation Offloading in LEO Satellite Edge Computing for IoT: A Game-Theoretical Approach
Ying Chen, Jintao Hu, Jie Zhao, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 4, pp. 875-885
Closed Access | Times Cited: 27
Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions
Guangyao Zhou, Wenhong Tian, Rajkumar Buyya, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 17
Minimizing Delay and Power Consumption at the Edge
Erol Gelenbe
Sensors (2025) Vol. 25, Iss. 2, pp. 502-502
Open Access | Times Cited: 1
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches
Ying Chen, Jie Zhao, Jintao Hu, et al.
ACM Transactions on Embedded Computing Systems (2023) Vol. 23, Iss. 1, pp. 1-28
Closed Access | Times Cited: 35
EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing
Peisong Li, Ziren Xiao, Xinheng Wang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1830-1846
Closed Access | Times Cited: 29
Multiagent Reinforcement Learning-Based Orbital Edge Offloading in SAGIN Supporting Internet of Remote Things
Senbai Zhang, Aijun Liu, Chen Han, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 23, pp. 20472-20483
Closed Access | Times Cited: 21
Collaborative on-demand dynamic deployment via deep reinforcement learning for IoV service in multi edge clouds
Yuze Huang, Beipeng Feng, Yuhui Cao, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 16
A Survey of Energy Optimization Approaches for Computational Task Offloading and Resource Allocation in MEC Networks
J.‐M. Yang, Awais Aziz Shah, Dimitrios P. Pezaros
Electronics (2023) Vol. 12, Iss. 17, pp. 3548-3548
Open Access | Times Cited: 16
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Peng Peng, Weiwei Lin, Wentai Wu, et al.
Computer Science Review (2024) Vol. 53, pp. 100656-100656
Closed Access | Times Cited: 6
A Deep Deterministic Policy Gradient-Based Method for Enforcing Service Fault-Tolerance in MEC
Tingyan Long, Peng Chen, Yunni Xia, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 4, pp. 899-909
Closed Access | Times Cited: 6
An Efficient Cyber Security Attack Detection With Encryption Using Capsule Convolutional Polymorphic Graph Attention
P. J. Sathish Kumar, B. R. Tapas Bapu, Shreya Sridhar, et al.
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 3
Closed Access
Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach
Rui Tang, Yiming Peng, Jingxi Li, et al.
Peer-to-Peer Networking and Applications (2025) Vol. 18, Iss. 3
Closed Access
Low-Latency Scheduling Approach for Dependent Tasks in MEC-Enabled 5G Vehicular Networks
Zhiying Wang, Gang Sun, Hanyue Su, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6278-6289
Closed Access | Times Cited: 14
Intelligent Data-Driven Task Offloading Framework for Internet of Vehicles Using Edge Computing and Reinforcement Learning
Anber Abraheem Shlash Mohammad, Sulieman Ibraheem Shelash Al-Hawary, Ayman Hindieh Ayman Hindieh, et al.
Data & Metadata (2024) Vol. 4, pp. 521-521
Closed Access | Times Cited: 4
Dynamic multi-tour order picking in an automotive-part warehouse based on attention-aware deep reinforcement learning
Xiaohan Wang, Zhang Li, Lihui Wang, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102959-102959
Closed Access
Collaborative Sensing-Aware Task Offloading and Resource Allocation for Integrated Sensing-Communication- and Computation-Enabled Internet of Vehicles (IoV)
Bangzhen Huang, Xuwei Fan, Shan Zheng, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 723-723
Open Access
An incentive mechanism for joint sensing and communication Vehicular Crowdsensing by Deep Reinforcement Learning
Gaoyu Luo, Shanhao Zhan, Chenyi Liang, et al.
Computer Networks (2025), pp. 111099-111099
Closed Access
Deceiving LLM through Compositional Instruction with Hidden Attacks
Shuyu Jiang, Xingshu Chen, Rui Tang
ACM Transactions on Autonomous and Adaptive Systems (2025)
Closed Access
Energy-Efficient Framework for Task Caching and Computation Offloading in Multi-tier Vehicular Edge-Cloud Systems
Ibrahim A. Elgendy, Abdukodir Khakimov, Ammar Muthanna
Lecture notes in computer science (2025), pp. 42-53
Closed Access
Computation offloading and task caching in the cloud–edge collaborative IoVs: A multi-objective evolutionary algorithm
Z. Chai, Zhengyi Chai, Junjun Ren, et al.
Simulation Modelling Practice and Theory (2025), pp. 103087-103087
Closed Access
An online mechanism for resource provisioning and allocation in vehicle computing
Xi Liu, Jun Liu, Hong Wu, et al.
Computing (2025) Vol. 107, Iss. 3
Closed Access
Ensuring Privacy and Correlation Awareness in Multi-Dimensional Service Quality Prediction and Recommendation for IoT
Weiyi Zhong, Fang Wei, Yifan Zhao, et al.
Information Sciences (2025), pp. 122017-122017
Closed Access
Vehicle Edge Computing Task Offloading Strategy Based on Multi-Agent Deep Reinforcement Learning
Jin Bo, Xu Zhao
Journal of Grid Computing (2025) Vol. 23, Iss. 2
Closed Access
Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach
Chen Weijie, Li Lin, Jinbo Xiong, et al.
Lecture notes in computer science (2025), pp. 51-62
Closed Access
Adaptive Resource Allocation for Mobile Edge Computing in Internet of Vehicles: A Deep Reinforcement Learning Approach
Junhui Zhao, Haoyu Quan, Minghua Xia, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 4, pp. 5834-5848
Closed Access | Times Cited: 10
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