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:

Latency-Energy Joint Optimization for Task Offloading and Resource Allocation in MEC-Assisted Vehicular Networks
Yuliang Cong, Ke Xue, Cong Wang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 12, pp. 16369-16381
Closed Access | Times Cited: 13

Showing 13 citing articles:

Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes
Amir M. Rahmani, Amir Haider, Parisa Khoshvaght, et al.
Sustainable Computing Informatics and Systems (2025), pp. 101080-101080
Closed Access | Times Cited: 2

Deep Reinforcement Learning-based computation offloading and distributed edge service caching for Mobile Edge Computing
Mande Xie, J.D. Ye, Guoping Zhang, et al.
Computer Networks (2024) Vol. 250, pp. 110564-110564
Closed Access | Times Cited: 4

Response Range Optimization for Run-Time Requirement Enforcement on MPSoCs
Khalil Esper, Stefan Wildermann, Jürgen Teich
Proceedings of the 28th Asia and South Pacific Design Automation Conference (2025), pp. 1160-1166
Closed Access

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey
Banoth Ravi, Blesson Varghese, Ilir Murturi, et al.
Computers (2023) Vol. 12, Iss. 8, pp. 162-162
Open Access | Times Cited: 9

Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks
Syed Danial Ali Shah, Mark Gregory, Fayçal Bouhafs, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 2039-2057
Open Access | Times Cited: 2

An intelligent task offloading method based on multi-agent deep reinforcement learning in ultra-dense heterogeneous network with mobile edge computing
Shanchen Pang, Teng Wang, Haiyuan Gui, et al.
Computer Networks (2024) Vol. 250, pp. 110555-110555
Closed Access | Times Cited: 2

Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach
Zhidong Huang, Xiaofei Wu, Shoubin Dong
Computer Communications (2024) Vol. 225, pp. 27-43
Closed Access | Times Cited: 1

Deep reinforcement learning-based joint optimization model for vehicular task offloading and resource allocation
Zhiyuan Li, Zengxiang Zhang
Peer-to-Peer Networking and Applications (2024) Vol. 17, Iss. 4, pp. 2001-2015
Closed Access

ERRF: an edge-server resources reservation framework in internet of vehicle
Dongxu Li, Xingfu Wang, Yuyang Lu
(2024), pp. 2-2
Closed Access

Joint optimization of offloading strategy and resource allocation for multi-user in dynamic vehicular edge computing systems
Z. Z. Du, Yuanzhi Ni, Hongfeng Tao, et al.
Simulation Modelling Practice and Theory (2024) Vol. 136, pp. 103001-103001
Closed Access

A Parallel and Distributed Data Management Approach for MEC Using the Improved Parameterized Deep Q-Network
Bingqing Ren, Peng Yang, Meng Yi, et al.
Lecture notes in computer science (2024), pp. 195-209
Closed Access

Metaheuristic task offloading approaches for minimization of energy consumption on edge computing: a systematic review
Rohaya Latip, Jafar Aminu, Zurina Mohd Hanafi, et al.
Discover Internet of Things (2024) Vol. 4, Iss. 1
Open Access

Delay-Optimal Cooperative Vehicle-Infrastructure Computing with IRS-Enhanced Secure Wireless Communications
Xu Han, Jianshan Zhou, Daxin Tian, et al.
2021 IEEE International Conference on Unmanned Systems (ICUS) (2023), pp. 1720-1725
Closed Access | Times Cited: 1

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