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:

Resource Management in Mobile Edge Computing: A Comprehensive Survey
Xiaojie Zhang, Saptarshi Debroy
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-37
Open Access | Times Cited: 20

Showing 20 citing articles:

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 67953-67996
Closed Access | Times Cited: 8

A review of channel estimation research methods for massive MIMO systems
Huahong Ma, Jialuo Du, Honghai Wu, et al.
Physical Communication (2025), pp. 102632-102632
Closed Access

Advancing 6G-IoT networks: Willow catkin packet transmission scheduling with AI and bayesian game-theoretic approach-based resource allocation.
Ali. M. A. Ibrahim, Zhigang Chen, Hala A. Eljailany, et al.
Internet of Things (2024) Vol. 25, pp. 101119-101119
Open Access | Times Cited: 4

Game theory-based vehicle selection and channel scheduling for federated learning in vehicular edge networks
Tianqi Gao, Yuanzhi Ni, Hongfeng Tao, et al.
Computer Networks (2025), pp. 111111-111111
Closed Access

Distributed Optimisation of Mobile Robots in a Mobile Edge Computing Environment
Dejing Zhang
Smart innovation, systems and technologies (2025), pp. 221-234
Closed Access

Reinforcement learning-based solution for resource management in fog computing: A comprehensive survey
Reyhane Ghafari, N. Mansouri
Expert Systems with Applications (2025), pp. 127214-127214
Closed Access

Elastic Federated Learning with Kubernetes Vertical Pod Autoscaler for edge computing
Pham Khanh Quan, Taehong Kim
Future Generation Computer Systems (2024) Vol. 158, pp. 501-515
Closed Access | Times Cited: 3

Comprehensive survey on reinforcement learning-based task offloading techniques in aerial edge computing
Ahmadun Nabi, Tanmay Baidya, Sangman Moh
Internet of Things (2024) Vol. 28, pp. 101342-101342
Closed Access | Times Cited: 3

IoT video analytics for surveillance-based systems in smart cities
Kasra Aminiyeganeh, Rodolfo W. L. Coutinho, Azzedine Boukerche
Computer Communications (2024) Vol. 224, pp. 95-105
Closed Access | Times Cited: 1

Task execution latency minimization for energy-sensitive IoTs in wireless powered mobile edge computing: A DRL-based method
Long Li, Gaochao Xu, Ziqi Liu, et al.
Computer Networks (2024) Vol. 251, pp. 110633-110633
Closed Access | Times Cited: 1

Load-balanced offloading of multiple task types for mobile edge computing in IoT
Ye Zhang, Xingyun He, Xing Jin, et al.
Internet of Things (2024), pp. 101385-101385
Open Access | Times Cited: 1

Quantum Variational Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
Carlo Mastroianni, Francesco Plastina, Jacopo Settino, et al.
arXiv (Cornell University) (2024)
Open Access

Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
Carlo Mastroianni, Francesco Plastina, Jacopo Settino, et al.
IEEE Transactions on Quantum Engineering (2024) Vol. 5, pp. 1-18
Open Access

Vehicle-Infrastructure Cooperative Sensing: Progress and Prospect
Xiaoying Yi, Yikang Rui, Bin Ran, et al.
Strategic Study of CAE (2024) Vol. 26, Iss. 1, pp. 178-178
Open Access

Resource Allocation and Placement in Multi-access Edge Computing
Yanan Xu, Zhenli He, Keqin Li
Studies in big data (2024), pp. 39-62
Closed Access

Distributed multi-agent deep reinforcement learning for trajectory planning in UAVs-assisted edge offloading
Chenchen Fan, Qingling Wang, Xiangke Wang
CCF Transactions on Pervasive Computing and Interaction (2024)
Closed Access

Computational offloading into UAV swarm networks: a systematic literature review
Asrar Ahmed Baktayan, Ammar T. Zahary, Axel Sikora, et al.
EURASIP Journal on Wireless Communications and Networking (2024) Vol. 2024, Iss. 1
Open Access

POSEIDON: Efficient Function Placement at the Edge Using Deep Reinforcement Learning
Prakhar Jain, P. K. Singhal, D. C. Pandey, et al.
Lecture notes in computer science (2024), pp. 21-37
Closed Access

Leveraging mobile cloud computing for real-time data processing: Novel approach
Kaur Swarn, Chawla Rama
i-manager’s Journal on Cloud Computing (2024) Vol. 11, Iss. 2, pp. 1-1
Closed Access

FrameFeedback: A Closed-Loop Control System for Dynamic Offloading Real-Time Edge Inference
Matthew Jackson, Bo Ji, Dimitrios S. Nikolopoulos
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024), pp. 584-591
Closed Access

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