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:

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

Showing 1-25 of 27 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

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

TBDB: Token Bucket-Based Dynamic Batching for Resource Scheduling Supporting Neural Network Inference in Intelligent Consumer Electronics
Honghao Gao, Binyang Qiu, Ye Wang, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 1134-1144
Closed Access | Times Cited: 26

Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC
Jiwei Huang, Bowen Ma, Ming Wang, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2596-2607
Closed Access | Times Cited: 17

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

Joint Data Caching and Computation Offloading in UAV-assisted Internet of Vehicles via Federated Deep Reinforcement Learning
Jiwei Huang, Man Zhang, Jiangyuan Wan, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 17644-17656
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

Privacy‐preserving task offloading in mobile edge computing: A deep reinforcement learning approach
Fanglue Xia, Ying Chen, Jiwei Huang
Software Practice and Experience (2024) Vol. 54, Iss. 9, pp. 1774-1792
Closed Access | Times Cited: 5

Delay-cost computation offloading for on-board emergency tasks in LEO satellite edge computing networks
C Li, Zhenmou Liu, Z. Q. Ye, et al.
Future Generation Computer Systems (2025), pp. 107797-107797
Closed Access

QoS-Aware Multi-Hop Task Offloading in Satellite-Terrestrial Edge Networks
Liang Zhao, Yuhang Liu, Ammar Hawbani, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31453-31466
Closed Access | Times Cited: 3

Carbon-Aware Dynamic Task Offloading in NOMA-Enabled Mobile Edge Computing for IoT
Yaozong Yang, Ying Chen, Kaixin Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 15723-15734
Closed Access | Times Cited: 2

PoPeC: PAoI-Centric Task Offloading With Priority Over Unreliable Channels
Nan Qiao, Sheng Yue, Yongmin Zhang, et al.
IEEE/ACM Transactions on Networking (2024) Vol. 32, Iss. 3, pp. 2376-2390
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

MOMTA-HN: A Secure and Reliable Multi-Objective Optimized Multipath Transmission Algorithm for Heterogeneous Networks
Shengyuan Qi, Lin Yang, Linru Ma, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2697-2697
Open 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

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 Intelligent Task Scheduling for Large-Scale IoT Systems
Chenghou Jin, Yusen Han, Zhuo Deng, et al.
Wireless Communications and Mobile Computing (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 2

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

Traffic prediction for diverse edge IoT data using graph network
Tao Shen, Lu Zhang, Renkang Geng, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access

Reinforcement Learning Based Collaborative Inference and Task Offloading Optimization for Cloud-Edge-End Systems
Jiangyu Tian, Xin Li, Xiaolin Qin
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

Deep Reinforcement Learning-Based Task Offloading for Multi-User Distributed Edge Computing
Zhengtian Shi, Zhisheng Zhang, Min Dai, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-6
Closed Access

COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment
Ruohan Shi, Qilin Fan, Shu Fu, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 1

5G Ultradense Cellular-Network-Based Edge Demand Response: Energy Consumption Reduction
Qinghang Gao, Jianmao Xiao, Hao Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12799-12814
Closed Access | Times Cited: 1

Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning
Deyu Zhang, Wang Sun, Zi-Ang Zheng, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access

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