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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:

Learning time varying graphs
Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, et al.
(2017), pp. 2826-2830
Closed Access | Times Cited: 81

Showing 1-25 of 81 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
Learning Graphs From Data: A Signal Representation Perspective
Xiaowen Dong, Dorina Thanou, Michael Rabbat, et al.
IEEE Signal Processing Magazine (2019) Vol. 36, Iss. 3, pp. 44-63
Open Access | Times Cited: 209
Advances in Distributed Graph Filtering
Mario Coutiño, Elvin Isufi, Geert Leus
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 9, pp. 2320-2333
Open Access | Times Cited: 108
Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review
Rui Li, Xin Yuan, Mohsen Radfar, et al.
IEEE Reviews in Biomedical Engineering (2021) Vol. 16, pp. 109-135
Closed Access | Times Cited: 68
Time-varying Graph Learning Based on Sparseness of Temporal Variation
K. Yamada, Yuichi Tanaka, Antonio Ortega
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019), pp. 5411-5415
Closed Access | Times Cited: 40
Time-Varying Graph Learning with Constraints on Graph Temporal Variation
K. Yamada, Yuichi Tanaka, Antonio Ortega
arXiv (Cornell University) (2020)
Open Access | Times Cited: 35
Learning Time-Varying Graphs From Online Data
Alberto Natali, Elvin Isufi, Mario Coutiño, et al.
IEEE Open Journal of Signal Processing (2022) Vol. 3, pp. 212-228
Open Access | Times Cited: 21
Dynamic Graph Representation Learning With Neural Networks: A Survey
Leshanshui Yang, Clément Chatelain, Sébastien Adam
IEEE Access (2024) Vol. 12, pp. 43460-43484
Open Access | Times Cited: 4
Graph Laplacian Mixture Model
Hermina Petric Maretić, Pascal Frossard
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 261-270
Open Access | Times Cited: 27
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information
Rasoul Shafipour, Gonzalo Mateos
Algorithms (2020) Vol. 13, Iss. 9, pp. 228-228
Open Access | Times Cited: 25
Online discriminative graph learning from multi-class smooth signals
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
Signal Processing (2021) Vol. 186, pp. 108101-108101
Open Access | Times Cited: 23
Learning Undirected Graphs in Financial Markets
José Vinícius de Miranda Cardoso, Daniel P. Palomar
2014 48th Asilomar Conference on Signals, Systems and Computers (2020), pp. 741-745
Open Access | Times Cited: 23
EEG-Based Emotion Classification Using Graph Signal Processing
Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021)
Closed Access | Times Cited: 20
Joint inference of networks from stationary graph signals
Santiago Segarra, Yuhao Wang, Caroline Uhler, et al.
(2017), pp. 975-979
Closed Access | Times Cited: 24
Joint Inference of Multiple Graphs from Matrix Polynomials
Madeline Navarro, Yuhao Wang, Antonio G. Marqués, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 20
Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning
Zeqing Fu, Wei Hu
IEEE Transactions on Multimedia (2021) Vol. 23, pp. 3022-3034
Closed Access | Times Cited: 16
Online Time-Varying Topology Identification Via Prediction-Correction Algorithms
Alberto Natali, Mario Coutiño, Elvin Isufi, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 5400-5404
Open Access | Times Cited: 15
Accelerated Graph Learning From Smooth Signals
Seyed Saman Saboksayr, Gonzalo Mateos
IEEE Signal Processing Letters (2021) Vol. 28, pp. 2192-2196
Open Access | Times Cited: 15
Network Topology Inference From Heterogeneous Incomplete Graph Signals
Xiao Yang, Min Sheng, Yanli Yuan, et al.
IEEE Transactions on Signal Processing (2020) Vol. 69, pp. 314-327
Closed Access | Times Cited: 15
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint
Xingyue Pu, Siu Lun Chau, Xiaowen Dong, et al.
IEEE Transactions on Signal and Information Processing over Networks (2021) Vol. 7, pp. 192-207
Open Access | Times Cited: 14
Joint Network Topology Inference via Structural Fusion Regularization
Yanli Yuan, De Wen Soh, Kun Guo, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10351-10364
Closed Access | Times Cited: 5
Graph Learning Based on Spatiotemporal Smoothness for Time-Varying Graph Signal
Yueliang Liu, Lishan Yang, Kangyong You, et al.
IEEE Access (2019) Vol. 7, pp. 62372-62386
Open Access | Times Cited: 12
Learning Product Graphs from Multidomain Signals
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 5665-5669
Open Access | Times Cited: 12
Bayesian Topology Learning and noise removal from network data
Mahmoud Ramezani Mayiami, Mohammad Hajimirsadeghi, Karl Skretting, et al.
Discover Internet of Things (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 11
A Graph-Assisted Framework for Multiple Graph Learning
Xiang Zhang, Qiao Wang
IEEE Transactions on Signal and Information Processing over Networks (2024) Vol. 10, pp. 162-178
Closed Access | Times Cited: 1
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