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:

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

Showing 1-25 of 58 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

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

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

Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids
Abdulrahman Takiddin, Rachad Atat, Muhammad Ismail, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 3, pp. 618-630
Closed Access | Times Cited: 24

Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data
Antonio G. Marqués, Santiago Segarra, Gonzalo Mateos
IEEE Signal Processing Magazine (2020) Vol. 37, Iss. 6, pp. 99-116
Open Access | Times Cited: 46

Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
arXiv (Cornell University) (2020)
Open Access | Times Cited: 40

Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen, Jintang Li, Qibiao Peng, et al.
(2021), pp. 2249-2255
Open Access | Times Cited: 33

Graphon Signal Processing
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 4961-4976
Open Access | Times Cited: 33

Sensor network data denoising via recursive graph median filters
D.B.H. Tay
Signal Processing (2021) Vol. 189, pp. 108302-108302
Closed Access | Times Cited: 29

Time-Varying Graph Signal Denoising via Median Filters
D.B.H. Tay, Junzheng Jiang
IEEE Transactions on Circuits & Systems II Express Briefs (2020) Vol. 68, Iss. 3, pp. 1053-1057
Closed Access | Times Cited: 28

Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids
Abdulrahman Takiddin, Muhammad Ismail, Rachad Atat, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 3, pp. 1287-1301
Closed Access | Times Cited: 10

Distributed Nonlinear Polynomial Graph Filter and Its Output Graph Spectrum: Filter Analysis and Design
Zhenlong Xiao, He Fang, Xianbin Wang
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 1725-1739
Closed Access | Times Cited: 23

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

Transferability Properties of Graph Neural Networks
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 3474-3489
Open Access | Times Cited: 8

The Graphon Fourier Transform
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020)
Open Access | Times Cited: 23

Unsupervised Learning of Sampling Distributions for Particle Filters
Fernando Gama, Nicolás Zilberstein, Martín Sevilla, et al.
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 3852-3866
Open Access | Times Cited: 7

Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
Neural Information Processing Systems (2020) Vol. 33, pp. 7101-7113
Closed Access | Times Cited: 20

Constrained Learning With Non-Convex Losses
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, et al.
IEEE Transactions on Information Theory (2022) Vol. 69, Iss. 3, pp. 1739-1760
Open Access | Times Cited: 10

Convolutional Graph Neural Networks
Fernando Gama, Antonio G. Marqués, Geert Leus, et al.
(2019)
Open Access | Times Cited: 12

Deep Constraint-Based Propagation in Graph Neural Networks
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 2, pp. 727-739
Open Access | Times Cited: 11

POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network
Qi Liu, Dehan Luo, Tengteng Wen, et al.
Expert Systems with Applications (2022) Vol. 199, pp. 116997-116997
Closed Access | Times Cited: 8

A Graph Neural Network Multi-Task Learning-Based Approach for Detection and Localization of Cyberattacks in Smart Grids
Abdulrahman Takiddin, Rachad Atat, Muhammad Ismail, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 4

Median Autoregressive Graph Filters
D.B.H. Tay
IEEE Signal Processing Letters (2023) Vol. 30, pp. 833-837
Closed Access | Times Cited: 4

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