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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:

Simultaneous low-rank component and graph estimation for high-dimensional graph signals: Application to brain imaging
Rui Liu, Hossein Nejati, Seyed Hamid Safavi, et al.
(2017), pp. 4134-4138
Open Access | Times Cited: 21

Showing 21 citing articles:

Connecting the Dots: Identifying Network Structure via Graph Signal Processing
Gonzalo Mateos, Santiago Segarra, Antonio G. Marqués, et al.
IEEE Signal Processing Magazine (2019) Vol. 36, Iss. 3, pp. 16-43
Open Access | Times Cited: 350
A Graph Signal Processing Perspective on Functional Brain Imaging
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 868-885
Open Access | Times Cited: 232
Rating Prediction via Graph Signal Processing
Weiyu Huang, Antonio G. Marqués, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 19, pp. 5066-5081
Open Access | Times Cited: 72
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, et al.
(2017), pp. 618-622
Open Access | Times Cited: 52
Deep neural networks on graph signals for brain imaging analysis
Yiluan Guo, Hossein Nejati, Ngai‐Man Cheung
2022 IEEE International Conference on Image Processing (ICIP) (2017), pp. 3295-3299
Open Access | Times Cited: 26
Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace
Maliheh Miri, Vahid Abootalebi, Hamid Behjat
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022)
Open Access | Times Cited: 9
Collaborative filtering via graph signal processing
Weiyu Huang, Antonio G. Marqués, Alejandro Ribeiro
2021 29th European Signal Processing Conference (EUSIPCO) (2017)
Open Access | Times Cited: 16
Buildup of speaking skills in an online learning community: a network-analytic exploration
Rasoul Shafipour, Raiyan Abdul Baten, Md. Kamrul Hasan, et al.
Palgrave Communications (2018) Vol. 4, Iss. 1
Open Access | Times Cited: 10
Low-rank Sparse Decomposition of Graph Adjacency Matrices for Extracting Clean Clusters
Taiju Kanada, Masaki Onuki, Yuichi Tanaka
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2018), pp. 1153-1159
Closed Access | Times Cited: 9
Graph Learning for Spatiotemporal Signals With Long- and Short-Term Characterization
Yueliang Liu, Wenbin Guo, Kangyong You, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 699-713
Open Access | Times Cited: 6
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
Yusuf Yiğit Pilavcı, Nicolas Farrugia
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019) Vol. 3, pp. 1140-1144
Open Access | Times Cited: 5
Sparse Laplacian Component Analysis for Internet Traffic Anomalies Detection
Manas Khatua, Seyed Hamid Safavi, Ngai‐Man Cheung
IEEE Transactions on Signal and Information Processing over Networks (2018) Vol. 4, Iss. 4, pp. 697-711
Closed Access | Times Cited: 4
Graph Signal Processing on Neuronal Networks
Selin Aviyente, Marisel Villafañe-Delgado
Elsevier eBooks (2018), pp. 799-816
Closed Access | Times Cited: 4
Matrix Completion as Graph Bandlimited Reconstruction
Weiyu Huang, Antonio G. Marqués, Alejandro Ribeiro
(2018), pp. 4039-4043
Closed Access | Times Cited: 4
Joint Estimation of Low-Rank Components and Connectivity Graph in High-Dimensional Graph Signals: Application to Brain Imaging
Rui Liu, Hossein Nejati, Ngai‐Man Cheung
arXiv (Cornell University) (2018)
Open Access | Times Cited: 3
Graph Signal Processing of Human Brain Imaging Data
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, et al.
(2018), pp. 980-984
Closed Access | Times Cited: 3
Scalable covariance-based connectivity inference for synchronous neuronal networks
Taehoon Kim, Dexiong Chen, Philipp Hornauer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Graph Learning From Noisy and Incomplete Signals on Graphs
Abdullah Karaaslanli, Selin Aviyente
(2021), pp. 556-560
Closed Access | Times Cited: 2
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
Yusuf Yiğit Pilavcı, Nicolas Farrugia
(2019)
Closed Access | Times Cited: 1
scSGL: Signed Graph Learning for Single-Cell Gene Regulatory Network Inference
Abdullah Karaaslanli, Satabdi Saha, Selin Aviyente, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Imputing missing electroencephalography data using graph signal processing
Alejandro Weinstein
(2023), pp. 8-8
Closed Access
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