OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness
Jhony H. Giraldo, Arif Mahmood, Belmar García-García, et al.
IEEE Transactions on Signal and Information Processing over Networks (2022) Vol. 8, pp. 201-214
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

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

Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery
Di Wu, Zechao Li, Zhikai Yu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 36, Iss. 2, pp. 2829-2842
Closed Access | Times Cited: 26

A review of graph-powered data quality applications for IoT monitoring sensor networks
Pau Ferrer-Cid, José M. Barceló-Ordinas, Jorge Garcı́a-Vidal
Journal of Network and Computer Applications (2025) Vol. 236, pp. 104116-104116
Closed Access

Joint time-vertex fractional Fourier transform
Tuna Alikaşifoğlu, Bünyamin Kartal, Eray Özgünay, et al.
Signal Processing (2025), pp. 109944-109944
Closed Access

Signed graph learning with hidden nodes
Rong Ye, Xueqin Jiang, Hui Feng, et al.
Signal Processing (2025), pp. 109995-109995
Closed Access

Graph signal reconstruction based on spatio-temporal features learning
Jie Yang, Ce Shi, Yueyan Chu, et al.
Digital Signal Processing (2024) Vol. 148, pp. 104414-104414
Closed Access | Times Cited: 3

Wiener Filtering in Joint Time-Vertex Fractional Fourier Domains
Tuna Alikaşifoğlu, Bünyamin Kartal, Aykut Koç
IEEE Signal Processing Letters (2024) Vol. 31, pp. 1319-1323
Closed Access | Times Cited: 3

Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs
Zhenlong Xiao, He Fang, Stefano Tomasin, et al.
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 2204-2219
Closed Access | Times Cited: 7

Estimation of a causal directed acyclic graph process using non-gaussianity
Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, et al.
Digital Signal Processing (2024) Vol. 146, pp. 104400-104400
Open Access | Times Cited: 2

Multilinear Kernel Regression and Imputation via Manifold Learning
Duc Thien Nguyen, Konstantinos Slavakis
IEEE Open Journal of Signal Processing (2024) Vol. 5, pp. 1073-1088
Open Access | Times Cited: 2

Online Edge Flow Imputation on Networks
Rohan Money, Joshin Krishnan, Baltasar Beferull‐Lozano, et al.
IEEE Signal Processing Letters (2022) Vol. 30, pp. 115-119
Open Access | Times Cited: 8

Learning Graph ARMA Processes From Time-Vertex Spectra
Eylem Tuğçe Güneyi, Berkay Yaldız, Abdullah Canbolat, et al.
IEEE Transactions on Signal Processing (2023) Vol. 72, pp. 47-56
Open Access | Times Cited: 4

Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction
Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11734-11745
Open Access | Times Cited: 1

Kernel Based Reconstruction for Generalized Graph Signal Processing
Xingchao Jian, Wee Peng Tay, Yonina C. Eldar
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 2308-2322
Open Access | Times Cited: 1

Graph Fractional Fourier Transform: A Unified Theory
Tuna Alikaşifoğlu, Bünyamin Kartal, Aykut Koç
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 3834-3850
Closed Access | Times Cited: 1

Partitioning-based Graph Signal Denoising via Heat Kernel Smoothing
Mohammadreza Fattahi, Hamid Saeedi‐Sourck, Vahid Abootalebi
(2024), pp. 1-6
Closed Access | Times Cited: 1

Time-Varying Signals Recovery Via Graph Neural Networks
Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 3

Restoration of Time-Varying Graph Signals using Deep Algorithm Unrolling
Hayate Kojima, Hikari Noguchi, K. Yamada, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 2

Graph Regression Model for Spatial and Temporal Environmental Data—Case of Carbon Dioxide Emissions in the United States
Roméo Tayewo, François Septier, Ido Nevat, et al.
Entropy (2023) Vol. 25, Iss. 9, pp. 1272-1272
Open Access | Times Cited: 2

Bayesian reconstruction of Cartesian product graph signals with general patterns of missing data
Edward Antonian, Gareth W. Peters, Mike J. Chantler
Journal of the Franklin Institute (2024) Vol. 361, Iss. 9, pp. 106805-106805
Open Access

Multiscale dynamic graph signal analysis
Mojtaba Nazari, Anders Rosendal Korshøj, Naveed ur Rehman
Signal Processing (2024) Vol. 222, pp. 109519-109519
Open Access

Robust estimation of smooth graph signals from randomized space–time samples
Longxiu Huang, Deanna Needell, Sui Tang
Information and Inference A Journal of the IMA (2024) Vol. 13, Iss. 2
Open Access

Distributed Graph Regularized Denoising via Constrained Chebyshev Polynomials
D.B.H. Tay
IEEE Signal Processing Letters (2024) Vol. 31, pp. 1815-1819
Closed Access

Page 1 - Next Page

Scroll to top