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:

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

Showing 1-25 of 29 citing articles:

Periodic Collaboration and Real-Time Dispatch Using an Actor–Critic Framework for UAV Movement in Mobile Edge Computing
Hongwei Zeng, Zhongzhi Zhu, Ye Wang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21215-21226
Closed Access | Times Cited: 17

GSFL: A Privacy-preserving Grouping-Split Federated Learning Approach in Resource-constrained Edge Computing Scenarios
Qi Liu, Z. Wang, Xiaokang Zhou, et al.
ACM Transactions on Autonomous and Adaptive Systems (2025)
Closed Access

RIS-Assisted Energy-Efficient UAV Data Collection Method Based on Deep Reinforcement Learning
Lu Dong, Mengjiao Lü, Wu Yang, et al.
Mobile Networks and Applications (2025)
Closed Access

Review on Meta-heuristic Algorithm-Based Priority-Aware Computation Offloading in Edge Computing System
Neelima Pilli, Debasis Mohapatra, Shiva Shankar Reddy
Journal of The Institution of Engineers (India) Series B (2025)
Closed Access

Satellite Edge Computing for Mobile Multimedia Communications: A Multi-agent Federated Reinforcement Learning Approach
Weiwei Jiang, Yafeng Zhan, Xin Fang
ACM Transactions on Autonomous and Adaptive Systems (2025)
Closed Access

A knowledge-driven approach to multi-objective IoT task graph scheduling in fog-cloud computing
Hadi Gholami, Hongyang Sun
Journal of Parallel and Distributed Computing (2025), pp. 105069-105069
Open Access

Age of Information Minimization in Vehicular Edge Computing Networks: A Mask-Assisted Hybrid PPO-Based Method
Xiaoli Qin, Zhifei Zhang, Chanyuan Meng, et al.
Network (2025) Vol. 5, Iss. 2, pp. 12-12
Open Access

A Blockchain-Enabled Vehicular Edge Computing Framework for Secure Performance-Oriented V2X Service Delivery
Mohammad Fardad, Gabriel‐Miro Muntean, Irina Tal
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 9, pp. 13853-13867
Open Access | Times Cited: 3

Multi-path Serial Tasks Offloading Strategy and Dynamic Scheduling Optimization in Vehicular Edge Computing Networks
Xiangyan Liu, Zheng Jian-hong, Yang Li, et al.
Vehicular Communications (2024) Vol. 49, pp. 100827-100827
Closed Access | Times Cited: 3

Intrusion Detection with Federated Learning and Conditional Generative Adversarial Network in Satellite-Terrestrial Integrated Networks
Weiwei Jiang, Haoyu Han, Yang Zhang, et al.
Mobile Networks and Applications (2024)
Closed Access | Times Cited: 3

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

A Task Allocation Strategy for Collaborative Learning in Virtual Reality
Yi Lin, Xiaolong Huang, Peng Sheng Guo, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-24
Closed Access | Times Cited: 1

Efficient Workflow Scheduling in Edge Cloud-Enabled Space-Air-Ground-Integrated Information Systems
Yunke Jiang, Xiaojuan Sun
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-29
Open Access | Times Cited: 1

Deep Reinforcement Learning Method for Task Offloading in Mobile Edge Computing Networks Based on Parallel Exploration with Asynchronous Training
Junyan Chen, Lei Jin, Rui Yao, et al.
Mobile Networks and Applications (2024)
Closed Access | Times Cited: 1

Video data offloading techniques in Mobile Edge Computing: A survey
Huahong Ma, Bowen Ji, Honghai Wu, et al.
Physical Communication (2023) Vol. 62, pp. 102261-102261
Closed Access | Times Cited: 3

Deep reinforcement learning based medical supplies dispatching model for major infectious diseases: Case study of COVID-19
Jia-Ying Zeng, Ping Lu, Ying Wei, et al.
Operations Research Perspectives (2023) Vol. 11, pp. 100293-100293
Open Access | Times Cited: 2

FedPIA: Parameter Importance-Based Optimized Federated Learning to Efficiently Process Non-IID Data on Consumer Electronic Devices
Yan Zeng, Yuyu Yin, Jilin Zhang, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 1531-1543
Closed Access | Times Cited: 2

Type classification and identification of IoT devices by using traffic characteristics
Ruizhong Du, Shuai Li
Wireless Networks (2024)
Closed Access

A computation offloading strategy for multi-access edge computing based on DQUIC protocol
Peng Yang, Ruochen Ma, Meng Yi, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 12, pp. 18285-18318
Closed Access

Ets-ddpg: an energy-efficient and QoS-guaranteed edge task scheduling approach based on deep reinforcement learning
Jiale Zhao, Yunni Xia, Xiaoning Sun, et al.
Wireless Networks (2024)
Closed Access

Efficient Scheduling of Energy-Constrained Tasks in Internet of Things Edge Computing Networks
Shaolei Chen, Hanyuan Tang, Min Zhao, et al.
International Journal of Swarm Intelligence Research (2024) Vol. 15, Iss. 1, pp. 1-17
Open Access

Adaptive Mayfly Optimization Based Multi-objective Task Scheduling on Cloud Environment
S. Nivethithai, B. Hariharan
(2024), pp. 401-413
Closed Access

ACORN+: Adaptive Compression-Reconstruction for Device-Cloud Collaboration Video Services
Jiale Lei, Peihao Yang, Linghe Kong, et al.
ACM Transactions on Autonomous and Adaptive Systems (2024)
Open Access

Multi-Agent Deep Reinforcement Learning-Based Inference Task Scheduling and Offloading for Maximum Inference Accuracy under Time and Energy Constraints
Abdelkarim Ben Sada, Amar Khelloufi, Abdenacer Naouri, et al.
Electronics (2024) Vol. 13, Iss. 13, pp. 2580-2580
Open Access

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