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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 in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang, et al.
ACM Transactions on Sensor Networks (2022) Vol. 19, Iss. 2, pp. 1-50
Open Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks
Pierre Hembert, Chady Ghnatios, Julien Cotton, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1580-1580
Open Access | Times Cited: 2
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Mengjie Zhao, Olga Fink
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22950-22965
Open Access | Times Cited: 2
Machine Learning and Graph Signal Processing Applied to Healthcare: A Review
Maria Alice Andrade Calazans, Felipe A. B. S. Ferreira, Fernando A. N. Santos, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 671-671
Open Access | Times Cited: 2
Enhanced Pedestrian Navigation on Smartphones With VLP-Assisted PDR Integration
Shangsheng Wen, Ziyang Ge, Danlan Yuan, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15952-15962
Closed Access | Times Cited: 4
STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic
Yayao Hong, Hang Zhu, Tieqi Shou, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 13051-13066
Closed Access | Times Cited: 1
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy, Jithin Jagannath
(2024)
Open Access | Times Cited: 1
A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems
Habib Taha Kose, Jose Nunez‐Yanez, Robert J. Piechocki, et al.
Information (2024) Vol. 15, Iss. 7, pp. 377-377
Open Access | Times Cited: 1
Reinforcement-Learning-Based Multilane Cooperative Control for On-Ramp Merging in Mixed-Autonomy Traffic
L.F. Liu, Xiaoxuan Li, Yongfu Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39809-39819
Closed Access | Times Cited: 1
Combining Medical Images and Biomechanical Data in Sports Injury Prediction Models
Weixia Cai, Jintao Zhu, Xueqin Zhuang
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
Efficient Hardware Acceleration of Emerging Neural Networks for Embedded Machine Learning: An Industry Perspective
Arnab Raha, Raymond Sung, Soumendu Kumar Ghosh, et al.
Springer eBooks (2023), pp. 121-172
Closed Access | Times Cited: 3
A Review on Congestion Mitigation Techniques in Ultra-Dense Wireless Sensor Networks: State-of-the-Art Future Emerging Artificial Intelligence-Based Solutions
A. Umar, Zubair Khalid, Mohammed Ali, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12384-12384
Open Access | Times Cited: 3
Less Is More: Understanding Network Bias in Proof-of-Work Blockchains
Yifan Mao, Shaileshh Bojja Venkatakrishnan
Mathematics (2023) Vol. 11, Iss. 23, pp. 4741-4741
Open Access | Times Cited: 3
Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities
Duc-Thinh Ngo, Ons Aouedi, Kandaraj Piamrat, et al.
Future Internet (2023) Vol. 15, Iss. 12, pp. 377-377
Open Access | Times Cited: 3
Multi-Story Building Model for Efficient IoT Network Design
Sergey Bushelenkov, Alexander Paramonov, Ammar Muthanna, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1403-1403
Open Access | Times Cited: 2
Deep Reinforcement Learning for Intrusion Detection in Internet of Things: Best Practices, Lessons Learnt, and Open Challenges
Jesús F. Cevallos M., Alessandra Rizzardi, Sabrina Sicari, et al.
(2023)
Closed Access | Times Cited: 2
Human Pose Prediction Using Interpretable Graph Convolutional Network for Smart Home
Boyu Yang, Liyazhou Hu, Yuyang Peng, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 876-888
Closed Access | Times Cited: 2
Effective Backdoor Attack on Graph Neural Networks in Spectral Domain
Xiangyu Zhao, Hanzhou Wu, Xinpeng Zhang
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12102-12114
Closed Access | Times Cited: 2
Cyber Security for Internet of Things (IoT) Devices and Sensors
Roheen Qamar, Baqar Ali Zardari, Alex Khang
Advances in environmental engineering and green technologies book series (2024), pp. 441-457
Closed Access
FedHGL: Cross-Institutional Federated Heterogeneous Graph Learning for IoT
Xiangyu Wei, Guorong Chen, Yongsheng Zhu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 25590-25599
Closed Access
Neural Networks for Predicting the Optimal Beamforming Angles for Maximized Overall Wireless Network Capacity
Parmida Geranmayeh, Eckhard Grass
(2024), pp. 177-181
Closed Access
Node-Smoothness-Based Adaptive Initial Residual Deep Graph Convolutional Network
Hui Chen, Liguang Zang, Yuancheng Li
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23878-23888
Closed Access
DGSTD: Learning on Dynamic Graph with Spatio-Temporal Disentanglement
Peng You, Xiaohu Zhao
Research Square (Research Square) (2024)
Open Access
Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?
Marco Del Coco, Marco Leo, Pierluigi Carcagnì
Information (2024) Vol. 15, Iss. 6, pp. 306-306
Open Access
A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems
Habib Taha Kose, Jose Nunez‐Yanez, Robert J. Piechocki, et al.
(2024)
Open Access
Heterogeneous GNN with Express Edges for Intrusion Detection in Cyber-Physical Systems
Hongwei Li, Danai Chasaki
2016 International Conference on Computing, Networking and Communications (ICNC) (2024), pp. 523-529
Closed Access

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