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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:

A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks
Tianrui Chen, Xinruo Zhang, Minglei You, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 3, pp. 1712-1724
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Graph-based deep learning for communication networks: A survey
Weiwei Jiang
Computer Communications (2021) Vol. 185, pp. 40-54
Open Access | Times Cited: 189
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, et al.
Internet of Things (2022) Vol. 21, pp. 100674-100674
Open Access | Times Cited: 139
Five Facets of 6G: Research Challenges and Opportunities
Li-Hsiang Shen, Kai‐Ten Feng, Lajos Hanzo
ACM Computing Surveys (2022) Vol. 55, Iss. 11, pp. 1-39
Open Access | Times Cited: 90
Innovative Trends in the 6G Era: A Comprehensive Survey of Architecture, Applications, Technologies, and Challenges
Vũ Khánh Quý, Abdellah Chehri, Nguyễn Minh Quý, et al.
IEEE Access (2023) Vol. 11, pp. 39824-39844
Open Access | Times Cited: 82
Energy efficient clustering for dense wireless sensor network by applying Graph Neural Networks with coverage metrics
Morteza Saadati, Sayyed Majid Mazinani, Ali Akbar Khazaei, et al.
Ad Hoc Networks (2024) Vol. 156, pp. 103432-103432
Closed Access | Times Cited: 16
An Overview on the Application of Graph Neural Networks in Wireless Networks
Shiwen He, Siying Xiong, Yeyu Ou, et al.
IEEE Open Journal of the Communications Society (2021) Vol. 2, pp. 2547-2565
Open Access | Times Cited: 80
Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph-Convolutional-Network-Based Deep Reinforcement Learning
Yang Liu, Yifei Wei, F. Richard Yu, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 23, pp. 23981-23994
Closed Access | Times Cited: 42
Quantum-Inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and Future Research Directions
Trung Q. Duong, James Adu Ansere, Bhaskara Narottama, et al.
IEEE Open Journal of Vehicular Technology (2022) Vol. 3, pp. 375-387
Open Access | Times Cited: 40
IRATS: A DRL-based intelligent priority and deadline-aware online resource allocation and task scheduling algorithm in a vehicular fog network
Bushra Jamil, Humaira Ijaz, Mohammad Shojafar, et al.
Ad Hoc Networks (2023) Vol. 141, pp. 103090-103090
Open Access | Times Cited: 36
Emerging Technologies for 6G Communication Networks: Machine Learning Approaches
Annisa Anggun Puspitasari, To Truong An, Mohammed H. Alsharif, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7709-7709
Open Access | Times Cited: 25
Graph reinforcement learning with relational priors for predictive power allocation
Jianyu Zhao, Chenyang Yang
Science China Information Sciences (2025) Vol. 68, Iss. 2
Closed Access | Times Cited: 1
A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning
Zixin Wang, Yong Zhou, Yinan Zou, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 9, pp. 6092-6106
Closed Access | Times Cited: 22
Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning
Dan Wang, Yalu Bai, Gang Huang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11486-11496
Closed Access | Times Cited: 18
Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?
Yao Peng, Jia Guo, Chenyang Yang
IEEE Transactions on Machine Learning in Communications and Networking (2024) Vol. 2, pp. 190-209
Open Access | Times Cited: 8
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
Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, et al.
Journal of Network and Computer Applications (2024) Vol. 226, pp. 103886-103886
Closed Access | Times Cited: 7
Knowledge-Driven Resource Allocation for Wireless Networks: A WMMSE Unrolled Graph Neural Network Approach
Hao Yang, Nan Cheng, Ruijin Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18902-18916
Closed Access | Times Cited: 6
A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
Prohim Tam, Seyha Ros, Inseok Song, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 994-994
Open Access | Times Cited: 6
Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges
Licheng Jiao, Y Shao, Long Sun, et al.
IEEE Access (2024) Vol. 12, pp. 133245-133314
Open Access | Times Cited: 6
Enhancing Smart-Contract Security through Machine Learning: A Survey of Approaches and Techniques
Fan Jiang, Kailin Chao, Jianmao Xiao, et al.
Electronics (2023) Vol. 12, Iss. 9, pp. 2046-2046
Open Access | Times Cited: 13
GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers
Liekang Zeng, Chongyu Yang, Peng Huang, et al.
IEEE Journal on Selected Areas in Communications (2022) Vol. 41, Iss. 3, pp. 720-739
Open Access | Times Cited: 20
Multidimensional Graph Neural Networks for Wireless Communications
Shengjie Liu, Jia Guo, Chenyang Yang
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 4, pp. 3057-3073
Closed Access | Times Cited: 12
GNN-Based Power Allocation and User Association in Digital Twin Network for the Terahertz Band
Haijun Zhang, Xu Ma, Xiangnan Liu, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 10, pp. 3111-3121
Closed Access | Times Cited: 11
AI Empowered Wireless Communications: From Bits to Semantics
Zhijin Qin, Le Liang, Zijing Wang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 7, pp. 621-652
Open Access | Times Cited: 4
Virtual Force-Based Swarm Trajectory Design for Unmanned Aerial Vehicle-Assisted Data Collection Internet of Things Networks
Xuanlin Liu, Sihua Wang, Changchuan Yin
Drones (2025) Vol. 9, Iss. 1, pp. 28-28
Open Access
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