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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:

Secure Computation Offloading for Device-Collaborative MEC Networks: A DRL-Based Approach
Mengying Sun, Xiaodong Xu, Shujun Han, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 72, Iss. 4, pp. 4887-4903
Closed Access | Times Cited: 10

Showing 10 citing articles:

SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things With Edge Computing
Kai Peng, Peiyun Xiao, Shangguang Wang, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 4, pp. 1780-1792
Closed Access | Times Cited: 8
QoS and Fairness Oriented Dynamic Computation Offloading in the Internet of Vehicles Based on Estimate Time of Arrival
Chen Ling, Weizhe Zhang, Hui He, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 7, pp. 10554-10571
Closed Access | Times Cited: 7
Joint task offloading and resource allocation for multi-user collaborative mobile edge computing
Xiaobei An, Yanjun Li, Yuzhe Chen, et al.
Computer Networks (2024) Vol. 250, pp. 110604-110604
Closed Access | Times Cited: 6
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
An Improved Gravitational Search Algorithm for Task Offloading in a Mobile Edge Computing Network with Task Priority
Ling Xu, Yunpeng Liu, Bing Fan, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 540-540
Open Access | Times Cited: 5
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Mohsen Khani, Mohammad Mohsen Sadr, Shahram Jamali
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 15
Closed Access | Times Cited: 12
RT-A3C: Real-time Asynchronous Advantage Actor–Critic for optimally defending malicious attacks in edge-enabled Industrial Internet of Things
Wenyi Zhu, Xiaolong Liu, Yimeng Liu, et al.
Journal of Information Security and Applications (2025) Vol. 91, pp. 104073-104073
Closed Access
A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing
Zhengyi Chai, Haole Hou, Ya-Lun Li
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28832-28847
Closed Access | Times Cited: 6
Spectrum-efficient user grouping and resource allocation based on deep reinforcement learning for mmWave massive MIMO-NOMA systems
Minghao Wang, Xin Liu, Fang Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Source Value-Based Resource Allocation in Task-Oriented Communications
Xiaoyu Chi, Shujun Han, Xiaodong Xu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39395-39408
Closed Access
Relationship between resource scheduling and distributed learning in IoT edge computing - An insight into complementary aspects, existing research and future directions
Harsha Varun Marisetty, Nida Fatima, Manik Gupta, et al.
Internet of Things (2024), pp. 101375-101375
Closed Access
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