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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:

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

Showing 1-25 of 73 citing articles:

Graph Neural Networks with Convolutional ARMA Filters
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 346
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 9574-9583
Open Access | Times Cited: 154
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
Graph Neural Networks: Architectures, Stability, and Transferability
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 660-682
Open Access | Times Cited: 93
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks
Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, et al.
IEEE Transactions on Smart Grid (2021) Vol. 13, Iss. 1, pp. 807-819
Open Access | Times Cited: 78
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
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 5, pp. 2195-2207
Open Access | Times Cited: 51
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications
Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione
IEEE Signal Processing Magazine (2020) Vol. 37, Iss. 6, pp. 74-85
Open Access | Times Cited: 50
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Stanley H. Chan
IEEE Transactions on Computational Imaging (2019) Vol. 5, Iss. 2, pp. 274-286
Open Access | Times Cited: 54
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
Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization
Mahdi Jamei, Raksha Ramakrishna, Teklemariam Tesfay, et al.
IEEE Journal on Selected Areas in Communications (2019) Vol. 38, Iss. 1, pp. 180-192
Open Access | Times Cited: 47
Approximating Spectral Clustering via Sampling: A Review
Nicolas Tremblay, Andreas Loukas
Unsupervised and semi-supervised learning (2019), pp. 129-183
Open Access | Times Cited: 43
A Directed Graph Fourier Transform With Spread Frequency Components
Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, et al.
IEEE Transactions on Signal Processing (2018) Vol. 67, Iss. 4, pp. 946-960
Open Access | Times Cited: 46
Parallel Graph Signal Processing: Sampling and Reconstruction
Daniela Dapena, Daniel L. Lau, Gonzalo R. Arce
IEEE Transactions on Signal and Information Processing over Networks (2023) Vol. 9, pp. 190-206
Closed Access | Times Cited: 12
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation
Shuang He, Lu Xia, Jason Gu, et al.
IEEE Access (2022) Vol. 10, pp. 34858-34871
Open Access | Times Cited: 17
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
Junteng Jia, Austin R. Benson
SIAM Journal on Mathematics of Data Science (2022) Vol. 4, Iss. 1, pp. 100-125
Open Access | Times Cited: 14
Graph Fourier transform based on ℓ1 norm variation minimization
Lihua Yang, Anna Qi, Chao Huang, et al.
Applied and Computational Harmonic Analysis (2020) Vol. 52, pp. 348-365
Open Access | Times Cited: 16
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests
Yusuf Pilavc, Pierre‐Olivier Amblard, Simon Barthelmé, et al.
IEEE Transactions on Signal and Information Processing over Networks (2021) Vol. 7, pp. 359-374
Open Access | Times Cited: 14
A local updating algorithm for personalized PageRank via Chebyshev polynomials
Esteban Bautista, Matthieu Latapy
Social Network Analysis and Mining (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam, Manan Sharma, Chanakya Ekbote, et al.
Lecture notes in computer science (2023), pp. 412-452
Closed Access | Times Cited: 5
On Modeling Voltage Phasor Measurements as Graph Signals
Raksha Ramakrishna, Anna Scaglione
(2019)
Closed Access | Times Cited: 15
DCT and DST Filtering With Sparse Graph Operators
Keng-Shih Lu, Antonio Ortega, Debargha Mukherjee, et al.
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 1641-1656
Open Access | Times Cited: 8
Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame
Yangmei Shen, Wenrui Dai, Chenglin Li, et al.
IEEE Transactions on Signal and Information Processing over Networks (2021) Vol. 7, pp. 595-610
Closed Access | Times Cited: 11
Graph signal processing based underwater image enhancement techniques
Shobha Sharma, Tarun Varma
Engineering Science and Technology an International Journal (2021) Vol. 32, pp. 101059-101059
Open Access | Times Cited: 11
Graph Neural Networks With High-Order Polynomial Spectral Filters
Zeyuan Zeng, Qinke Peng, Mou Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 12590-12603
Closed Access | Times Cited: 4
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