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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:

Graph Neural Networks for Wireless Communications: From Theory to Practice
Yifei Shen, Jun Zhang, Shenghui Song, et al.
IEEE Transactions on Wireless Communications (2022) Vol. 22, Iss. 5, pp. 3554-3569
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Yandong Shi, Lixiang Lian, Yuanming Shi, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2088-2132
Open Access | Times Cited: 53
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: 14
Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-Based Approach
Yuhang Li, Yang Lu, Ruichen Zhang, et al.
IEEE Wireless Communications Letters (2023) Vol. 12, Iss. 7, pp. 1264-1268
Closed Access | Times Cited: 16
GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks
Yuhang Li, Yang Lu, Bo Ai, et al.
IEEE Transactions on Wireless Communications (2024) Vol. 23, Iss. 8, pp. 9251-9264
Open Access | Times Cited: 5
Green communication for OverGNN enabled heterogeneous ultra‐dense networks
Jun Zeng, Sisi Lin, Yuhan Ai, et al.
IET Communications (2025) Vol. 19, Iss. 1
Open Access
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: 4
Handover strategy for LEO satellite communication using graph neural network
Jong‐Sik Lee, Byungju Lim, Kihun Kim, et al.
ICT Express (2025)
Open Access
ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks
Yunqi Wang, Yang Li, Qingjiang Shi, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 6, pp. 5330-5344
Open Access | Times Cited: 10
Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation
Maher Marwani, Georges Kaddoum
IEEE Transactions on Machine Learning in Communications and Networking (2024) Vol. 2, pp. 717-732
Open Access | Times Cited: 3
Understanding the Performance of Learning Precoding Policies with Graph and Convolutional Neural Networks
Baichuan Zhao, Jia Guo, Chenyang Yang
IEEE Transactions on Communications (2024) Vol. 72, Iss. 9, pp. 5657-5673
Closed Access | Times Cited: 3
From Graph Theory to Graph Neural Networks (GNNs): The Opportunities of GNNs in Power Electronics
Yuzhuo Li, Cheng Xue, Faraz Zargari, et al.
IEEE Access (2023) Vol. 11, pp. 145067-145084
Open Access | Times Cited: 7
Access Point Selection and Beamforming Design for Cell-Free Network: From Fractional Programming to GNN
Xuanhong Yan, Zheng Wang, Yi Jia, et al.
IEEE Transactions on Wireless Communications (2024) Vol. 23, Iss. 8, pp. 9345-9360
Closed Access | Times Cited: 2
Reconstruction of Radio Environment Map Based on Multi-Source Domain Adaptive of Graph Neural Network for Regression
Xiaomin Wen, Shengliang Fang, Youchen Fan
Sensors (2024) Vol. 24, Iss. 8, pp. 2523-2523
Open Access | Times Cited: 2
Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Xuefei Li, Mingzhe Chen, Ye Hu, et al.
IEEE Transactions on Wireless Communications (2024) Vol. 23, Iss. 10, pp. 12917-12932
Open Access | Times Cited: 2
Joint Power Allocation and User Scheduling in Integrated Satellite–Terrestrial Cell-Free Massive MIMO IoT Systems
Trinh Van Chien, Ha An Le, Tạ Hải Tùng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 20, pp. 32883-32900
Open Access | Times Cited: 2
Graph Neural Network Meets Multi-Agent Reinforcement Learning: Fundamentals, Applications, and Future Directions
Ziheng Liu, Jiayi Zhang, Enyu Shi, et al.
IEEE Wireless Communications (2024) Vol. 31, Iss. 6, pp. 39-47
Open Access | Times Cited: 2
Improvement of the scientific bases of creating means of automation of documentation of devices of railway automation and telemechanics
Dilshod Baratov, Elmurod Astanaliev
E3S Web of Conferences (2023) Vol. 402, pp. 06005-06005
Open Access | Times Cited: 6
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems
Hengtao He, Xianghao Yu, Jun Zhang, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 5, pp. 4709-4723
Open Access | Times Cited: 6
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation
Wentao Yu, Hengtao He, Xianghao Yu, et al.
ICC 2022 - IEEE International Conference on Communications (2023)
Open Access | Times Cited: 5
GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection
Hengtao He, Alva Kosasih, Xianghao Yu, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2023)
Open Access | Times Cited: 4
Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems Through Graph Neural Networks
Mengbing Liu, Chongwen Huang, Marco Di Renzo, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 4286-4291
Open Access | Times Cited: 4
On the Use of Spatial Graphs for Performance Degradation Root-Cause Analysis Toward Self-Healing Mobile Networks
Luís Mata, Marco Sousa, Pedro Vieira, et al.
IEEE Access (2024) Vol. 12, pp. 20490-20508
Open Access | Times Cited: 1
ICNet: GNN-Enabled Beamforming for MISO Interference Channels with Statistical CSI
Changpeng He, Yuhang Li, Yang Lu, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 8, pp. 12225-12230
Closed Access | Times Cited: 1
Training a Graph Neural Network to solve URLLC and eMBB coexisting in 5G networks
Seyyed Mohammad Mahdi Hosseini Daneshvar, Sayyed Majid Mazinani
Computer Communications (2024) Vol. 225, pp. 171-184
Closed Access | Times Cited: 1
Opportunities and challenges of graph neural networks in electrical engineering
Eli Chien, Mufei Li, Anthony Aportela, et al.
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 8, pp. 529-546
Closed Access | Times Cited: 1
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