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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:

Stationary Signal Processing on Graphs
Nathanaël Perraudin, Pierre Vandergheynst
IEEE Transactions on Signal Processing (2017) Vol. 65, Iss. 13, pp. 3462-3477
Open Access | Times Cited: 237

Showing 26-50 of 237 citing articles:

Verifying the Smoothness of Graph Signals: A Graph Signal Processing Approach
Lital Dabush, Tirza Routtenberg
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4349-4365
Open Access | Times Cited: 8
Introduction to Graph Signal Processing
Ljubiša Stanković, Miloš Daković, Ervin Sejdić
Signals and communication technology (2018), pp. 3-108
Closed Access | Times Cited: 57
Global and local uncertainty principles for signals on graphs
Nathanaël Perraudin, Benjamin Ricaud, David I Shuman, et al.
APSIPA Transactions on Signal and Information Processing (2018) Vol. 7, Iss. 1
Open Access | Times Cited: 54
Network topology inference from non-stationary graph signals
Rasoul Shafipour, Santiago Segarra, Antonio G. Marqués, et al.
(2017)
Closed Access | Times Cited: 52
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
Graph Sampling for Covariance Estimation
Sundeep Prabhakar Chepuri, Geert Leus
IEEE Transactions on Signal and Information Processing over Networks (2017) Vol. 3, Iss. 3, pp. 451-466
Open Access | Times Cited: 48
A Directed Graph Fourier Transform With Spread Frequency Components
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, et al.
IEEE Transactions on Signal Processing (2018) Vol. 67, Iss. 4, pp. 946-960
Open Access | Times Cited: 46
Distributed Diffusion Adaptation Over Graph Signals
Roula Nassif, Cédric Richard, Jie Chen, et al.
(2018), pp. 4129-4133
Open Access | Times Cited: 45
Towards stationary time-vertex signal processing
Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, et al.
(2017), pp. 3914-3918
Open Access | Times Cited: 41
Frequency analysis of time-varying graph signals
Andreas Loukas, Damien Foucard
(2016), pp. 346-350
Closed Access | Times Cited: 39
Adaptive Graph-Based Total Variation for Tomographic Reconstructions
Faisal Mahmood, Nauman Shahid, Ulf Skoglund, et al.
IEEE Signal Processing Letters (2018) Vol. 25, Iss. 5, pp. 700-704
Open Access | Times Cited: 38
Multivariate Relations Aggregation Learning in Social Networks
Jin Xu, Shuo Yu, Ke Sun, et al.
(2020), pp. 77-86
Open Access | Times Cited: 35
Graph Fourier Transform: A Stable Approximation
João Domingos, José M. F. Moura
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 4422-4437
Open Access | Times Cited: 33
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
Optimal sensor placement for leak location in water distribution networks: A feature selection method combined with graph signal processing
Menglong Cheng, Juan Li
Water Research (2023) Vol. 242, pp. 120313-120313
Closed Access | Times Cited: 12
Joint time-vertex fractional Fourier transform
Tuna Alikaşifoğlu, Bünyamin Kartal, Eray Özgünay, et al.
Signal Processing (2025), pp. 109944-109944
Closed Access
Low model-dependent sensor placement method for water distribution networks using adaptive attributed graph clustering
Qingshuai Sun, Yingjie Zhang, Ming Li, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107358-107358
Closed Access
Wiener Filters on Graphs and Distributed Implementations
Cong Zheng, Cheng Cheng, Qiyu Sun
Digital Signal Processing (2025), pp. 105156-105156
Closed Access
Signed graph learning with hidden nodes
Rong Ye, Xueqin Jiang, Hui Feng, et al.
Signal Processing (2025), pp. 109995-109995
Closed Access
The Optimal Causal Linear Predictor is Not Turing Computable
Holger Boche, Volker Pohl, H. Vincent Poor
Lecture notes in computer science (2025), pp. 111-135
Closed Access
Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph
Arun Venkitaraman, Saikat Chatterjee, Peter Händel
IEEE Transactions on Signal and Information Processing over Networks (2019) Vol. 5, Iss. 4, pp. 698-710
Open Access | Times Cited: 35
A Spectral Method for Generating Surrogate Graph Signals
Elvira Pirondini, Anastasia Vybornova, Martina Coscia, et al.
IEEE Signal Processing Letters (2016) Vol. 23, Iss. 9, pp. 1275-1278
Open Access | Times Cited: 34
Subsampling for graph power spectrum estimation
Sundeep Prabhakar Chepuri, Geert Leus
(2016), pp. 1-5
Open Access | Times Cited: 34
Stationary time-vertex signal processing
Andreas Loukas, Nathanaël Perraudin
EURASIP Journal on Advances in Signal Processing (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 31
Gated Graph Convolutional Recurrent Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2021 29th European Signal Processing Conference (EUSIPCO) (2019), pp. 1-5
Open Access | Times Cited: 31

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