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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:

Stability Properties of Graph Neural Networks
Fernando Gama, Joan Bruna, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 5680-5695
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 443
Kernel Mean Embedding of Distributions: A Review and Beyond
Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, et al.
Foundations and Trends® in Machine Learning (2017) Vol. 10, Iss. 1-2, pp. 1-141
Open Access | Times Cited: 295
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning
Changyang She, Chengjian Sun, Zhouyou Gu, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 3, pp. 204-246
Open Access | Times Cited: 295
Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks
Mark Eisen, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 2977-2991
Open Access | Times Cited: 253
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Qiang Huang, Makoto Yamada, Yuan Tian, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 7, pp. 6968-6972
Open Access | Times Cited: 233
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 11785-11792
Open Access | Times Cited: 191
Graph-based deep learning for communication networks: A survey
Weiwei Jiang
Computer Communications (2021) Vol. 185, pp. 40-54
Open Access | Times Cited: 189
Signal processing on higher-order networks: Livin’ on the edge... and beyond
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, et al.
Signal Processing (2021) Vol. 187, pp. 108149-108149
Open Access | Times Cited: 116
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 5533-5540
Open Access | Times Cited: 104
Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks
Zhenhua Huang, Kunhao Li, Yihang Jiang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112311-112311
Closed Access | Times Cited: 39
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi, Fernando Gama, David I Shuman, et al.
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4745-4781
Open Access | Times Cited: 32
Gated Graph Recurrent Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 6303-6318
Open Access | Times Cited: 126
Optimal Power Flow Using Graph Neural Networks
Damian Owerko, Fernando Gama, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020)
Open Access | Times Cited: 113
Graph Neural Networks: Architectures, Stability, and Transferability
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 660-682
Open Access | Times Cited: 93
EdgeNets: Edge Varying Graph Neural Networks
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 11, pp. 7457-7473
Open Access | Times Cited: 68
Pattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research
Joel Serey, Miguel Alfaro, Guillermo Fuertes, et al.
Symmetry (2023) Vol. 15, Iss. 2, pp. 535-535
Open Access | Times Cited: 31
Graph Neural Networks are More Powerful than We Think
Charilaos I. Kanatsoulis, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7550-7554
Closed Access | Times Cited: 9
Marine Target Detection via Spatial-Temporal Graph Neural Network
Xiang Wang, Guolong Cui, Yumiao Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-14
Closed Access | Times Cited: 1
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
Ekaterina Tolstaya, Fernando Gama, James Paulos, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 74
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama, Elvin Isufi, Geert Leus, et al.
IEEE Signal Processing Magazine (2020) Vol. 37, Iss. 6, pp. 128-138
Open Access | Times Cited: 60
Invariance-Preserving Localized Activation Functions for Graph Neural Networks
Luana Ruiz, Fernando Gama, Antonio G. Marqués, et al.
IEEE Transactions on Signal Processing (2019) Vol. 68, pp. 127-141
Open Access | Times Cited: 58
Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates
Weipeng Tai, Xinling Li, Jianping Zhou, et al.
Neural Networks (2023) Vol. 161, pp. 55-64
Closed Access | Times Cited: 22
Coordinated Sum-Rate Maximization in Multicell MU-MIMO With Deep Unrolling
Lukas Schynol, Marius Pesavento
IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 4, pp. 1120-1134
Open Access | Times Cited: 20
Generalized Simplicial Attention Neural Networks
Claudio Battiloro, Lucia Testa, Lorenzo Giusti, et al.
IEEE Transactions on Signal and Information Processing over Networks (2024) Vol. 10, pp. 833-850
Open Access | Times Cited: 7
Unsupervised Optimal Power Flow Using Graph Neural Networks
Damian Owerko, Fernando Gama, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6885-6889
Open Access | Times Cited: 6
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