Open Access Helper

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:

2-Dimensional finite impulse response graph-temporal filters
Elvin Isufi, Geert Leus, Paolo Banelli
(2016)
Open Access | Times Cited: 26

Showing 1-25 of 26 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
Forecasting Time Series With VARMA Recursions on Graphs
Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, et al.
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 18, pp. 4870-4885
Open Access | Times Cited: 97
Filtering Random Graph Processes Over Random Time-Varying Graphs
Elvin Isufi, Andreas Loukas, Andrea Simonetto, et al.
IEEE Transactions on Signal Processing (2017) Vol. 65, Iss. 16, pp. 4406-4421
Open Access | Times Cited: 95
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid
Raksha Ramakrishna, Anna Scaglione
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 2725-2739
Open Access | Times Cited: 58
Filter Design for Autoregressive Moving Average Graph Filters
Jiani Liu, Elvin Isufi, Geert Leus
IEEE Transactions on Signal and Information Processing over Networks (2018) Vol. 5, Iss. 1, pp. 47-60
Open Access | Times Cited: 62
Frequency analysis of time-varying graph signals
Andreas Loukas, Damien Foucard
(2016), pp. 346-350
Closed Access | Times Cited: 39
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models
Fei Hua, Roula Nassif, Cédric Richard, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 63-77
Open Access | Times Cited: 35
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
Mohammad Sabbaqi, Elvin Isufi
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14625-14638
Open Access | Times Cited: 9
Simplicial Vector Autoregressive Models
Joshin Krishnan, Rohan Money, Baltasar Beferull‐Lozano, et al.
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 5454-5469
Closed Access | Times Cited: 3
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
Theory and Design of Joint Time-Vertex Nonsubsampled Filter Banks
Junzheng Jiang, Hairong Feng, D.B.H. Tay, et al.
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 1968-1982
Closed Access | Times Cited: 21
Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems
Guy Sagi, Nir Shlezinger, Tirza Routtenberg
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Closed Access | Times Cited: 9
Predicting the evolution of stationary graph signals
Andreas Loukas, Elvin Isufi, Nathanaël Perraudin
(2017), pp. 60-64
Open Access | Times Cited: 15
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
Simplicial Vector Autoregressive Models
Joshin Krishnan, Rohan Money, Baltasar Beferull‐Lozano, et al.
(2024)
Open Access | Times Cited: 1
Autoregressive moving average graph filters a stable distributed implementation
Elvin Isufi, Andreas Loukas, Geert Leus
(2017), pp. 4119-4123
Closed Access | Times Cited: 10
Distributed sparsified graph filters for denoising and diffusion tasks
Elvin Isufi, Geert Leus
(2017)
Closed Access | Times Cited: 10
An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm
Daniel G. Tiglea, Renato Candido, Magno T. M. Silva
2021 29th European Signal Processing Conference (EUSIPCO) (2019)
Closed Access | Times Cited: 7
Graph Filter Design for Distributed Network Processing: A Comparison between Adaptive Algorithms
Atiyeh Alinaghi, Stephan Weiss, Vladimir Stanković, et al.
(2021), pp. 1-5
Open Access | Times Cited: 5
Kalman Filter for Tracking Network Dynamic
Lital Dabush, Tirza Routtenberg
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 13216-13220
Closed Access
Asynchronous Distributed Edge-Variant Graph Filters
Mario Coutiño, Geert Leus
(2019), pp. 115-119
Open Access | Times Cited: 3
Design of Time-Vertex Node-Variant Graph Filters
Hairong Feng, Junzheng Jiang, Haitao Wang, et al.
Circuits Systems and Signal Processing (2020) Vol. 40, Iss. 4, pp. 2036-2049
Closed Access | Times Cited: 2
Joint Vertex-Time Filtering on Graphs With Random Node-Asynchronous Updates
Oğuzhan Teke, P. P. Vaidyanathan
IEEE Access (2021) Vol. 9, pp. 122801-122818
Open Access | Times Cited: 2
Observing Bandlimited Graph Processes from Subsampled Measurements
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, et al.
2018 52nd Asilomar Conference on Signals, Systems, and Computers (2018), pp. 168-174
Closed Access | Times Cited: 1
Online Distributed Learning over Graphs with Multitask Graph-Filter Models
Fei Hua, Roula Nassif, Cédric Richard, et al.
arXiv (Cornell University) (2019)
Open Access
Page 1 - Next Page

Scroll to top