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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:

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

Showing 1-25 of 60 citing articles:

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
Adaptive Propagation Graph Convolutional Network
Indro Spinelli, Simone Scardapane, Aurelio Uncini
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 10, pp. 4755-4760
Open Access | Times Cited: 75
Accuracy-diversity trade-off in recommender systems via graph convolutions
Elvin Isufi, Matteo Pocchiari, Alan Hanjalić
Information Processing & Management (2020) Vol. 58, Iss. 2, pp. 102459-102459
Open Access | Times Cited: 72
Graph neural network approach for anomaly detection
Lingqiang Xie, Dechang Pi, xiangyan zhang, et al.
Measurement (2021) Vol. 180, pp. 109546-109546
Closed Access | Times Cited: 54
Simplicial Convolutional Neural Networks
Maosheng Yang, Elvin Isufi, Geert Leus
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
Open Access | Times Cited: 29
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning
Fernando Gama, Qingbiao Li, Ekaterina Tolstaya, et al.
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 1932-1946
Open Access | Times Cited: 23
EdgeNets:Edge Varying Graph Neural Networks
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 35
Graph Neural Network for Large-Scale Network Localization
Wenzhong Yan, Di Jin, Zhidi Lin, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 5250-5254
Open Access | Times Cited: 29
Distributed linear-quadratic control with graph neural networks
Fernando Gama, Somayeh Sojoudi
Signal Processing (2022) Vol. 196, pp. 108506-108506
Open Access | Times Cited: 19
Bayesian Estimation of Graph Signals
Ariel Kroizer, Tirza Routtenberg, Yonina C. Eldar
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 2207-2223
Open Access | Times Cited: 18
T-HyperGNNs: Hypergraph Neural Networks Via Tensor Representations
Fuli Wang, Karelia Pena-Pena, Wei Qia, et al.
(2023)
Open Access | Times Cited: 10
Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, et al.
(2023)
Open Access | Times Cited: 9
Graph Neural Networks for Decentralized Controllers
Fernando Gama, Ekaterina Tolstaya, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 5260-5264
Open Access | Times Cited: 22
Windowed fractional Fourier transform on graphs: Properties and fast algorithm
Fang-Jia Yan, Bing‐Zhao Li
Digital Signal Processing (2021) Vol. 118, pp. 103210-103210
Closed Access | Times Cited: 21
Deep learning for brain disorders: from data processing to disease treatment
Ninon Burgos, Simona Bottani, Johann Faouzi, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1560-1576
Open Access | Times Cited: 22
Stability of graph convolutional neural networks to stochastic perturbations
Zhan Gao, Elvin Isufi, Alejandro Ribeiro
Signal Processing (2021) Vol. 188, pp. 108216-108216
Open Access | Times Cited: 20
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
Jan Blumenkamp, Amanda Prorok
arXiv (Cornell University) (2020)
Open Access | Times Cited: 19
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 4900-4904
Open Access | Times Cited: 15
Coverage Control in Multi-Robot Systems via Graph Neural Networks
Walker Gosrich, Siddharth Mayya, Rebecca Li, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 8787-8793
Open Access | Times Cited: 10
Quantization Analysis and Robust Design for Distributed Graph Filters
Leila Ben Saad, Baltasar Beferull‐Lozano, Elvin Isufi
IEEE Transactions on Signal Processing (2021) Vol. 70, pp. 643-658
Open Access | Times Cited: 10
Graph-Time Convolutional Neural Networks
Elvin Isufi, Gabriele Mazzola
(2021), pp. 1-6
Open Access | Times Cited: 9
Graph Neural Networks for Decentralized Controllers.
Fernando Gama, Ekaterina Tolstaya, Alejandro Ribeiro
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 9
Graph Neural Networks With Parallel Neighborhood Aggregations for Graph Classification
Siddhant Doshi, Sundeep Prabhakar Chepuri
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 4883-4896
Open Access | Times Cited: 6
Stability Analysis of Unfolded WMMSE for Power Allocation
Arindam Chowdhury, Fernando Gama, Santiago Segarra
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 5298-5302
Open Access | Times Cited: 5
Representing Deep Neural Networks Latent Space Geometries with Graphs
Carlos Lassance, Vincent Gripon, Antonio Ortega
Algorithms (2021) Vol. 14, Iss. 2, pp. 39-39
Open Access | Times Cited: 7
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