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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: 74

Showing 26-50 of 74 citing articles:

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
Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing
Dengbo Li, Hanning Zhang, Jieren Cheng, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Towards optimal edge resource utilization: Predictive analytics and reinforcement learning for task offloading
Srikanta Pradhan, Somanath Tripathy, Rakesh Matam
Internet of Things (2024) Vol. 26, pp. 101147-101147
Closed Access | Times Cited: 3
Task Scheduling and Power Allocation in Multiuser Multiserver Vehicular Networks by NOMA and Deep Reinforcement Learning
Yuliang Cong, Maiou Liu, Cong Wang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23532-23543
Closed Access | Times Cited: 2
Towards Efficient Task Offloading with Dependency Guarantees in Vehicular Edge Networks through Distributed Deep Reinforcement Learning
Haoqiang Liu, Wenzhen Huang, Dong In Kim, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 9, pp. 13665-13681
Closed Access | Times Cited: 2
Snake swarm optimization‐based deep reinforcement learning for resource allocation in edge computing environment
S. Kaliraj, V. Sivakumar, N. Premkumar, et al.
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 18
Closed Access | Times Cited: 2
Deep reinforcement learning task scheduling method based on server real-time performance
Jinming Wang, Shaobo Li, Xingxing Zhang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2120-e2120
Open Access | Times Cited: 2
Blockchain-based collaborative edge computing: efficiency, incentive and trust
Qinghang Gao, Jianmao Xiao, Yuanlong Cao, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 6
An intelligent approach of task offloading for dependent services in Mobile Edge Computing
Jie Chen, Yajing Leng, Jiwei Huang
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications
Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde, et al.
Future Internet (2023) Vol. 15, Iss. 11, pp. 358-358
Open Access | Times Cited: 6
Task offloading optimization mechanism based on deep neural network in edge-cloud environment
Lingkang Meng, Yingjie Wang, Haipeng Wang, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Multiagent Federated Deep-Reinforcement-Learning-Enabled Resource Allocation for an Air–Ground-Integrated Internet of Vehicles Network
LI Nan, Xiaoqin Song, Ke Li, et al.
IEEE Internet Computing (2023) Vol. 27, Iss. 5, pp. 15-23
Closed Access | Times Cited: 5
Data-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds
Shuo Zhang, Zhuofeng Zhao, Chen Liu, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Real-World Implementation and Performance Analysis of Distributed Learning Frameworks for 6G IoT Applications
David Naseh, Mahdi Abdollahpour, Daniele Tarchi
Information (2024) Vol. 15, Iss. 4, pp. 190-190
Open Access | Times Cited: 1
Federated Deep Recurrent Q-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT
Zilong Zhao, Mingjie Feng, Chenhao Ke, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 26444-26458
Closed Access | Times Cited: 1
Efficient IoV Resource Management Through Enhanced Clustering, Matching, and Offloading in DT-Enabled Edge Computing
Xiaoming Yuan, Wenyuan Zhang, Jiayu Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 18, pp. 30172-30186
Closed Access | Times Cited: 1
An Intelligent Privacy Protection Scheme for Efficient Edge Computation Offloading in IoV
Liang Yao, Xiaolong Xu, Wanchun Dou, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 4, pp. 910-919
Closed Access | Times Cited: 1
DRL-Enhanced Vehicular Edge Caching Addressing Content Dynamics and Complex Intersections
Chang Liu, Zheng Xue, Canliang Liao, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 2, pp. 1732-1745
Closed Access | Times Cited: 1
A truthful double auction mechanism for resource provisioning and elastic service in vehicle computing
Xi Liu, Jun Liu, Weidong Li
Computer Networks (2024) Vol. 254, pp. 110806-110806
Closed Access | Times Cited: 1
IoV data sharing scheme based on the hybrid architecture of blockchain and cloud-edge computing
Tiange Zheng, Junhua Wu, Guangshun Li
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 4
Joint DNN partitioning and task offloading in mobile edge computing via deep reinforcement learning
Jianbing Zhang, MA Shu-fang, Zexiao Yan, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 4
Reinforcement learning-based computation offloading in edge computing: Principles, methods, challenges
Zhongqiang Luo, Xiangchen Dai
Alexandria Engineering Journal (2024) Vol. 108, pp. 89-107
Closed Access | Times Cited: 1
Data scheduling and resource allocation in LEO satellite networks for IoT task offloading
Jie Zhao, Sihan Chen, Chenghou Jin, et al.
Wireless Networks (2023)
Closed Access | Times Cited: 3
Stateless Q-learning algorithm for service caching in resource constrained edge environment
Binbin Huang, Ziqi Ran, Dongjin Yu, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Distributed Multi-Agent Approach for Achieving Energy Efficiency and Computational Offloading in MECNs Using Asynchronous Advantage Actor-Critic
Israr Khan, Salman Raza, Razaullah Khan, et al.
Electronics (2023) Vol. 12, Iss. 22, pp. 4605-4605
Open Access | Times Cited: 2

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