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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 26-50 of 286 citing articles:

Graph Signal Processing for Machine Learning: A Review and New Perspectives
Xiaowen Dong, Dorina Thanou, Laura Toni, et al.
IEEE Signal Processing Magazine (2020) Vol. 37, Iss. 6, pp. 117-127
Open Access | Times Cited: 38
Blind Identification of Stochastic Block Models from Dynamical Observations
Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis
SIAM Journal on Mathematics of Data Science (2020) Vol. 2, Iss. 2, pp. 335-367
Open Access | Times Cited: 38
Efficient Graph Learning From Noisy and Incomplete Data
Peter Berger, Gábor Hannák, Gerald Matz
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 105-119
Closed Access | Times Cited: 34
Role of denoisers in simulation-based inference from graph-structured data: a case study for position inference in an astroparticle detector
Venkat Roy, A. Higuera, S. Liang, et al.
EURASIP Journal on Advances in Signal Processing (2025) Vol. 2025, Iss. 1
Open Access
Mitigating subpopulation bias for fair graph learning
Madeline Navarro, Samuel Rey, Andrei Buciulea, et al.
Science Talks (2025) Vol. 13, pp. 100435-100435
Open Access
Signed graph learning with hidden nodes
Rong Ye, Xueqin Jiang, Hui Feng, et al.
Signal Processing (2025), pp. 109995-109995
Closed Access
Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM
Licheng Zhao, Yiwei Wang, Sandeep Kumar, et al.
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 16, pp. 4231-4244
Closed Access | Times Cited: 35
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
Graph learning under sparsity priors
Hermina Petric Maretić, Dorina Thanou, Pascal Frossard
(2017), pp. 6523-6527
Open Access | Times Cited: 30
Graph Laplacian Mixture Model
Hermina Petric Maretić, Pascal Frossard
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 261-270
Open Access | Times Cited: 27
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 7, pp. 62-74
Open Access | Times Cited: 27
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information
Rasoul Shafipour, Gonzalo Mateos
Algorithms (2020) Vol. 13, Iss. 9, pp. 228-228
Open Access | Times Cited: 25
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices
Yanning Shen, Xiao Fu, Georgios B. Giannakis, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 271-283
Open Access | Times Cited: 24
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
Online discriminative graph learning from multi-class smooth signals
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
Signal Processing (2021) Vol. 186, pp. 108101-108101
Open Access | Times Cited: 23
Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis
Yiran He, Hoi-To Wai
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 2416-2430
Open Access | Times Cited: 15
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs
Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, et al.
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 3014-3027
Open Access | Times Cited: 8
Graph Learning from Data under Structural and Laplacian Constraints
Hilmi E. Egilmez, Eduardo Pavéz, Antonio Ortega
arXiv (Cornell University) (2016)
Closed Access | Times Cited: 26
Network inference from consensus dynamics
Santiago Segarra, Michael T. Schaub, Ali Jadbabaie
(2017), pp. 3212-3217
Open Access | Times Cited: 25
Joint Network Topology and Dynamics Recovery From Perturbed Stationary Points
Hoi-To Wai, Anna Scaglione, Baruch Barzel, et al.
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 17, pp. 4582-4596
Open Access | Times Cited: 25
Exact Blind Community Detection From Signals on Multiple Graphs
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, et al.
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 5016-5030
Open Access | Times Cited: 23
Adaptive estimation and sparse sampling for graph signals in alpha-stable noise
Ngoc Hung Nguyen, Kutluyıl Doğançay, Wenyuan Wang
Digital Signal Processing (2020) Vol. 105, pp. 102782-102782
Closed Access | Times Cited: 23
Hypergraph Spectral Clustering for Point Cloud Segmentation
Songyang Zhang, Shuguang Cui, Zhi Ding
IEEE Signal Processing Letters (2020) Vol. 27, pp. 1655-1659
Open Access | Times Cited: 23
Network Inference From Consensus Dynamics With Unknown Parameters
Yu Zhu, Michael T. Schaub, Ali Jadbabaie, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 300-315
Open Access | Times Cited: 21
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables
Andrei Buciulea, Samuel Rey, Antonio G. Marqués
IEEE Transactions on Signal and Information Processing over Networks (2022) Vol. 8, pp. 273-287
Open Access | Times Cited: 13

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