Open Access Helper

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:

Design of Graph Filters and Filterbanks
Nicolas Tremblay, Paulo Gonçalvès, Pierre Borgnat
Elsevier eBooks (2018), pp. 299-324
Open Access | Times Cited: 73

Showing 26-50 of 73 citing articles:

Session-Based Graph Convolutional ARMA Filter Recommendation Model
Huanwen Wang, Guangyi Xiao, Ning Han, et al.
IEEE Access (2020) Vol. 8, pp. 62053-62064
Open Access | Times Cited: 11
Robust and label efficient bi-filtering graph convolutional networks for node classification
Shuaihui Wang, Yu Pan, Jin Zhang, et al.
Knowledge-Based Systems (2021) Vol. 224, pp. 106891-106891
Closed Access | Times Cited: 10
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets
Mingxing Xu, Wenrui Dai, Chenglin Li, et al.
IEEE Transactions on Signal and Information Processing over Networks (2022) Vol. 8, pp. 63-77
Open Access | Times Cited: 7
Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim, S. Sumitra
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4373-4384
Closed Access | Times Cited: 7
DIRECTED NETWORK TOPOLOGY INFERENCE VIA GRAPH FILTER IDENTIFICATION
Rasoul Shafipour, Santiago Segarra, Antonio G. Marqués, et al.
(2018), pp. 210-214
Closed Access | Times Cited: 11
Digraph Fourier Transform via Spectral Dispersion Minimization
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, et al.
(2018), pp. 6284-6288
Closed Access | Times Cited: 10
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
Arman Hasanzadeh, Xi Liu, Nick Duffield, et al.
2021 IEEE International Conference on Big Data (Big Data) (2019), pp. 3779-3788
Open Access | Times Cited: 10
Smoothing Graph Signals via Random Spanning Forests
Yusuf Yiğit Pilavcı, Pierre‐Olivier Amblard, Simon Barthelmé, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020)
Open Access | Times Cited: 10
Distributed Change Detection in Streaming Graph Signals
A. Ferrari, Cédric Richard, Louis Verduci
(2019), pp. 166-170
Open Access | Times Cited: 9
Graph Neural Networks With Parallel Neighborhood Aggregations for Graph Classification
Siddhant Doshi, Sundeep Prabhakar Chepuri
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 4883-4896
Open Access | Times Cited: 6
Non-parametric Community Change-points Detection in Streaming Graph Signals
A. Ferrari, Cédric Richard
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 5545-5549
Open Access | Times Cited: 8
Accurate Graph Filtering in Wireless Sensor Networks
Leila Ben Saad, Baltasar Beferull‐Lozano
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 12, pp. 11431-11445
Open Access | Times Cited: 8
Multi-view clustering with adaptive procrustes on Grassmann manifold
Xia Dong, Danyang Wu, Feiping Nie, et al.
Information Sciences (2022) Vol. 609, pp. 855-875
Closed Access | Times Cited: 5
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 7
Analyzing the approximation error of the fast graph Fourier transform
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
(2017), pp. 45-49
Open Access | Times Cited: 6
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications
Yufan Fan, Minh Trinh-Hoang, Cemil Emre Ardic, et al.
IEEE Transactions on Signal and Information Processing over Networks (2023) Vol. 9, pp. 505-520
Open Access | Times Cited: 2
Matrix Completion of Adaptive Jumping Graph Neural Networks for Recommendation Systems
Xiaodong Zhu, Junyu Fu, Chen Chen
IEEE Access (2023) Vol. 11, pp. 88433-88450
Open Access | Times Cited: 2
A Windowed Digraph Fourier Transform
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019), pp. 7525-7529
Closed Access | Times Cited: 5
Minimum-Degree Distributed Graph Filter Design
Kemi Ding, Junfeng Wu, Lihua Xie
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 1083-1096
Closed Access | Times Cited: 5
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
Random-Walk Laplacian for Frequency Analysis in Periodic Graphs
Rachid Boukrab, Alba Pagès-Zamora
Sensors (2021) Vol. 21, Iss. 4, pp. 1275-1275
Open Access | Times Cited: 4
Gene selection for cancer detection using graph signal processing
Wei Wang, Fang Zhou, D.B.H. Tay, et al.
Informatics in Medicine Unlocked (2021) Vol. 25, pp. 100662-100662
Open Access | Times Cited: 4
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
Arman Hasanzadeh, Xi Liu, Nick Duffield, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 3
Graph Denoising with Framelet Regularizers
Bingxin Zhou, Ruikun Li, Xuebin Zheng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 7606-7617
Closed Access
Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks
Ming Chen, Zitao Hu, Xiujuan Lei, et al.
Lecture notes in computer science (2024), pp. 315-326
Closed Access

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