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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:

Graph Learning From Data Under Laplacian and Structural Constraints
Hilmi E. Egilmez, Eduardo Pavéz, Antonio Ortega
IEEE Journal of Selected Topics in Signal Processing (2017) Vol. 11, Iss. 6, pp. 825-841
Open Access | Times Cited: 346

Showing 1-25 of 346 citing articles:

Graph Signal Processing: Overview, Challenges, and Applications
Antonio Ortega, Pascal Frossard, Jelena Kovačević, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 808-828
Open Access | Times Cited: 1483
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
Graph Spectral Image Processing
Gene Cheung, Enrico Magli, Yuichi Tanaka, et al.
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 907-930
Open Access | Times Cited: 207
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics
Georgios B. Giannakis, Yanning Shen, Georgios V. Karanikolas
Proceedings of the IEEE (2018) Vol. 106, Iss. 5, pp. 787-807
Open Access | Times Cited: 197
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
arXiv (Cornell University) (2020)
Open Access | Times Cited: 168
Towards Unsupervised Deep Graph Structure Learning
Yixin Liu, Yu Zheng, Daokun Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 1392-1403
Open Access | Times Cited: 118
Graph Spectral Image Processing

(2021)
Open Access | Times Cited: 103
Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu, Xiang Gao, Gene Cheung, et al.
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 2841-2856
Open Access | Times Cited: 92
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu, Jiahao Pang, Xianming Liu, et al.
IEEE Transactions on Multimedia (2021) Vol. 24, pp. 3961-3977
Open Access | Times Cited: 61
Block-Adaptive Point Cloud Attribute Coding With Region-Aware Optimized Transform
Fei Song, Ge Li, Xiaodong Yang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 8, pp. 4294-4308
Closed Access | Times Cited: 23
Distributed-Graph-Based Statistical Approach for Intrusion Detection in Cyber-Physical Systems
Hamidreza Sadreazami, Arash Mohammadi, Amir Asif, et al.
IEEE Transactions on Signal and Information Processing over Networks (2017) Vol. 4, Iss. 1, pp. 137-147
Closed Access | Times Cited: 72
Graph Topology Inference Based on Sparsifying Transform Learning
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 7, pp. 1712-1727
Open Access | Times Cited: 67
Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification
Hilmi E. Egilmez, Eduardo Pavéz, Antonio Ortega
IEEE Transactions on Signal and Information Processing over Networks (2018) Vol. 5, Iss. 2, pp. 360-374
Open Access | Times Cited: 67
Irregularity-Aware Graph Fourier Transforms
Benjamin Girault, Antonio Ortega, Shrikanth Narayanan
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 21, pp. 5746-5761
Open Access | Times Cited: 66
Unsupervised Feature Selection via Adaptive Graph Learning and Constraint
Rui Zhang, Yunxing Zhang, Xuelong Li
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 3, pp. 1355-1362
Closed Access | Times Cited: 66
Inverter Probing for Power Distribution Network Topology Processing
Guido Cavraro, Vassilis Kekatos
IEEE Transactions on Control of Network Systems (2019) Vol. 6, Iss. 3, pp. 980-992
Open Access | Times Cited: 63
Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems
Mingjian Cui, Jianhui Wang, Bo Chen
IEEE Transactions on Smart Grid (2020) Vol. 11, Iss. 2, pp. 1805-1808
Open Access | Times Cited: 61
Power Systems Topology and State Estimation by Graph Blind Source Separation
Sivan Grotas, Yair Yakoby, Idan Gera, et al.
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 8, pp. 2036-2051
Open Access | Times Cited: 55
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao, Wei Hu, Zongming Guo
2022 IEEE International Conference on Multimedia and Expo (ICME) (2020)
Open Access | Times Cited: 50
Intelligent fault diagnosis of rotating machinery under varying working conditions with global–local neighborhood and sparse graphs embedding deep regularized autoencoder
Zejin Sun, Youren Wang, Jiahao Gao
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106590-106590
Closed Access | Times Cited: 18
Verifying the Smoothness of Graph Signals: A Graph Signal Processing Approach
Lital Dabush, Tirza Routtenberg
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4349-4365
Open Access | Times Cited: 8
Learning Graphs With Monotone Topology Properties and Multiple Connected Components
Eduardo Pavéz, Hilmi E. Egilmez, Antonio Ortega
IEEE Transactions on Signal Processing (2018) Vol. 66, Iss. 9, pp. 2399-2413
Open Access | Times Cited: 53
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
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
Yiqun Xu, Wei Hu, Shanshe Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2020) Vol. 31, Iss. 5, pp. 1968-1982
Open Access | Times Cited: 49
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