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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:

Network Topology Inference from Spectral Templates
Santiago Segarra, Antonio G. Marqués, Gonzalo Mateos, et al.
IEEE Transactions on Signal and Information Processing over Networks (2017) Vol. 3, Iss. 3, pp. 467-483
Open Access | Times Cited: 286

Showing 1-25 of 286 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
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
Gonzalo Mateos, Santiago Segarra, Antonio G. Marqués, et al.
IEEE Signal Processing Magazine (2019) Vol. 36, Iss. 3, pp. 16-43
Open Access | Times Cited: 350
Graph Learning From Data Under Laplacian and Structural Constraints
Hilmi E. Egilmez, Eduardo Pavéz, Antonio Ortega
IEEE Journal of Selected Topics in Signal Processing (2017) Vol. 11, Iss. 6, pp. 825-841
Open Access | Times Cited: 346
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators
Santiago Segarra, Antonio G. Marqués, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2017) Vol. 65, Iss. 15, pp. 4117-4131
Open Access | Times Cited: 259
Stationary Graph Processes and Spectral Estimation
Antonio G. Marqués, Santiago Segarra, Geert Leus, et al.
IEEE Transactions on Signal Processing (2017) Vol. 65, Iss. 22, pp. 5911-5926
Open Access | Times Cited: 232
Learning Graphs From Data: A Signal Representation Perspective
Xiaowen Dong, Dorina Thanou, Michael Rabbat, et al.
IEEE Signal Processing Magazine (2019) Vol. 36, Iss. 3, pp. 44-63
Open Access | Times Cited: 209
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics
Georgios B. Giannakis, Yanning Shen, Georgios V. Karanikolas
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 787-807
Open Access | Times Cited: 197
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
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
Graph Signal Processing: History, development, impact, and outlook
Geert Leus, Antonio G. Marqués, José M. F. Moura, et al.
IEEE Signal Processing Magazine (2023) Vol. 40, Iss. 4, pp. 49-60
Open Access | Times Cited: 50
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
Learning Heat Diffusion Graphs
Dorina Thanou, Xiaowen Dong, Daniel Kreßner, et al.
IEEE Transactions on Signal and Information Processing over Networks (2017) Vol. 3, Iss. 3, pp. 484-499
Open Access | Times Cited: 153
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, et al.
IEEE Transactions on Signal and Information Processing over Networks (2017) Vol. 4, Iss. 3, pp. 481-496
Open Access | Times Cited: 148
Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu, Xiang Gao, Gene Cheung, et al.
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 2841-2856
Open Access | Times Cited: 92
Graph Topology Inference Based on Sparsifying Transform Learning
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 7, pp. 1712-1727
Open Access | Times Cited: 67
Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification
Hilmi E. Egilmez, Eduardo Pavéz, Antonio Ortega
IEEE Transactions on Signal and Information Processing over Networks (2018) Vol. 5, Iss. 2, pp. 360-374
Open Access | Times Cited: 67
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
Network topology inference from non-stationary graph signals
Rasoul Shafipour, Santiago Segarra, Antonio G. Marqués, et al.
(2017)
Closed Access | Times Cited: 52
Blind Community Detection From Low-Rank Excitations of a Graph Filter
Hoi-To Wai, Santiago Segarra, Asuman Ozdaglar, et al.
IEEE Transactions on Signal Processing (2019) Vol. 68, pp. 436-451
Open Access | Times Cited: 49
A Unified Framework for Structured Graph Learning via Spectral Constraints
Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 48
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
Online Topology Identification From Vector Autoregressive Time Series
Bakht Zaman, Luis M. Lopez-Ramos, Daniel Romero, et al.
IEEE Transactions on Signal Processing (2020) Vol. 69, pp. 210-225
Open Access | Times Cited: 44
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretić, Mireille El Gheche, Giovanni Chierchia, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 41
Stability of Graph Scattering Transforms
Fernando Gama, Joan Bruna, Alejandro Ribeiro
arXiv (Cornell University) (2019)
Open Access | Times Cited: 38
State-Space Network Topology Identification From Partial Observations
Mario Coutiño, Elvin Isufi, Takanori Maehara, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 211-225
Open Access | Times Cited: 38
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