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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:

A digraph fourier transform with spread frequency components
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, et al.
(2017)
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Graph Signal Processing: Overview, Challenges, and Applications
Antonio Ortega, Pascal Frossard, Jelena Kovačević, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 808-828
Open Access | Times Cited: 1483
A Graph Signal Processing Perspective on Functional Brain Imaging
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 868-885
Open Access | Times Cited: 232
Design of Graph Filters and Filterbanks
Nicolas Tremblay, Paulo Gonçalvès, Pierre Borgnat
Elsevier eBooks (2018), pp. 299-324
Open Access | Times Cited: 73
Irregularity-Aware Graph Fourier Transforms
Benjamin Girault, Antonio Ortega, Shrikanth Narayanan
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 21, pp. 5746-5761
Open Access | Times Cited: 66
Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs
Benjamin Ricaud, Pierre Borgnat, Nicolas Tremblay, et al.
Comptes Rendus Physique (2019) Vol. 20, Iss. 5, pp. 474-488
Open Access | Times Cited: 53
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
Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian
Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, et al.
Lecture notes in computer science (2020), pp. 447-463
Closed Access | Times Cited: 34
Parallel Graph Signal Processing: Sampling and Reconstruction
Daniela Dapena, Daniel L. Lau, Gonzalo R. Arce
IEEE Transactions on Signal and Information Processing over Networks (2023) Vol. 9, pp. 190-206
Closed Access | Times Cited: 12
Local Smoothness of Graph Signals
Miloš Daković, Ljubiša Stanković, Ervin Sejdić
Mathematical Problems in Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 27
Vertex-Frequency Energy Distributions
Ljubiša Stanković, Ervin Sejdić, Miloš Daković
IEEE Signal Processing Letters (2017) Vol. 25, Iss. 3, pp. 358-362
Closed Access | Times Cited: 22
Estimating Network Processes via Blind Identification of Multiple Graph Filters
Yu Zhu, Fernando J. Iglesias, Antonio G. Marqués, et al.
IEEE Transactions on Signal Processing (2020), pp. 1-1
Open Access | Times Cited: 19
Reduced Interference Vertex-Frequency Distributions
Ljubiša Stanković, Ervin Sejdić, Miloš Daković
IEEE Signal Processing Letters (2018) Vol. 25, Iss. 9, pp. 1393-1397
Closed Access | Times Cited: 18
A Graph Signal Processing View on Functional Brain Imaging
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 10
Digraph Fourier Transform via Spectral Dispersion Minimization
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, et al.
(2018), pp. 6284-6288
Closed Access | Times Cited: 10
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, et al.
(2018), pp. 4179-4183
Open Access | Times Cited: 8
Estimation of Network Processes via Blind Graph Multi-filter Identification
Yu Zhu, Fernando J. Iglesias, Antonio G. Marqués, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019), pp. 5451-5455
Closed Access | Times Cited: 6
Vertex-Frequency Energy Distributions
Ljubiša Stanković, Miloš Daković, Ervin Sejdić
Signals and communication technology (2018), pp. 377-415
Closed Access | Times Cited: 6
Constructing Fast Approximate Eigenspaces With Application to the Fast Graph Fourier Transforms
Cristian Rusu, Lorenzo Rosasco
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 5037-5050
Open Access | Times Cited: 5
Multiresolution analysis of functions on directed networks
Harry Sevi, Gabriel Rilling, Pierre Borgnat
(2017), pp. 61-61
Open Access | Times Cited: 4
Sparse Laplacian Component Analysis for Internet Traffic Anomalies Detection
Manas Khatua, Seyed Hamid Safavi, Ngai‐Man Cheung
IEEE Transactions on Signal and Information Processing over Networks (2018) Vol. 4, Iss. 4, pp. 697-711
Closed Access | Times Cited: 4
Generative Adversarial Networks for Graph Data Imputation from Signed Observations
Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 9085-9089
Open Access | Times Cited: 4
Graph Signal Processing of Human Brain Imaging Data
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, et al.
(2018), pp. 980-984
Closed Access | Times Cited: 3
MODELING SIGNALS OVER DIRECTED GRAPHS THROUGH FILTERING
Harry Sevi, Gabriel Rilling, Pierre Borgnat
(2018), pp. 718-722
Open Access | Times Cited: 3
Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs
Rasoul Shafipour, Gonzalo Mateos
2018 52nd Asilomar Conference on Signals, Systems, and Computers (2018), pp. 742-746
Closed Access
Estimating Network Processes via Blind Identification of Multiple Graph Filters
Yu Zhu, Fernando J. Iglesias, Antonio G. Marqués, et al.
arXiv (Cornell University) (2019)
Open Access
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