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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:

A Hilbert Space Theory of Generalized Graph Signal Processing
Feng Ji, Wee Peng Tay
IEEE Transactions on Signal Processing (2019) Vol. 67, Iss. 24, pp. 6188-6203
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Graph Signal Processing Over a Probability Space of Shift Operators
Feng Ji, Wee Peng Tay, Antonio Ortega
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 1159-1174
Open Access | Times Cited: 10
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries
Jay S. Stanley, C. Eric, Gal Mishne
IEEE Signal Processing Magazine (2020) Vol. 37, Iss. 6, pp. 160-173
Open Access | Times Cited: 20
Random Fields in Physics, Biology and Data Science
Enrique Hernández-Lemus
Frontiers in Physics (2021) Vol. 9
Open Access | Times Cited: 16
Joint time-vertex linear canonical transform
Yu Zhang, Bing‐Zhao Li
Digital Signal Processing (2024) Vol. 155, pp. 104728-104728
Closed Access | Times Cited: 2
Kernel Based Reconstruction for Generalized Graph Signal Processing
Xingchao Jian, Wee Peng Tay, Yonina C. Eldar
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 2308-2322
Open Access | Times Cited: 1
Sampling theory of jointly bandlimited time-vertex graph signals
Hang Sheng, Hui Feng, Junhao Yu, et al.
Signal Processing (2024) Vol. 222, pp. 109522-109522
Closed Access | Times Cited: 1
Time-Varying Signals Recovery Via Graph Neural Networks
Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 3
Robust Recovery for Graph Signal via $\ell _{0}$-Norm Regularization
Xiao Peng Li, Yi Yan, Erçan E. Kuruoğlu, et al.
IEEE Signal Processing Letters (2023) Vol. 30, pp. 1322-1326
Closed Access | Times Cited: 3
Unlimited dynamic range signal recovery for folded graph signals
Feng Ji, Pratibha Pratibha, Wee Peng Tay
Signal Processing (2022) Vol. 198, pp. 108574-108574
Open Access | Times Cited: 5
Signal Processing on Simplicial Complexes With Vertex Signals
Feng Ji, Giacomo Kahn, Wee Peng Tay
IEEE Access (2022) Vol. 10, pp. 41889-41901
Open Access | Times Cited: 5
Signal processing on simplicial complexes
Feng Ji, Giacomo Kahn, Wee Peng Tay
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6
Wide-Sense Stationarity in Generalized Graph Signal Processing
Xingchao Jian, Wee Peng Tay
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 3414-3428
Open Access | Times Cited: 4
Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost
Tze Siong Lau, Wee Peng Tay
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 1332-1346
Open Access | Times Cited: 5
Joint Time-Vertex Linear Canonical Transform
Yu Zhang, Bing‐Zhao Li
(2024)
Closed Access
Generalized sampling of multi-dimensional graph signals based on prior information
Deyun Wei, Zhenyang Yan
Signal Processing (2024) Vol. 224, pp. 109601-109601
Closed Access
Spectral Convergence of Simplicial Complex Signals
Purui Zhang, Xingchao Jian, Feng Ji, et al.
2022 IEEE International Symposium on Information Theory (ISIT) (2024), pp. 3468-3473
Closed Access
Discrete linear canonical transform on graphs: Uncertainty principle and sampling
Yu Zhang, Bing‐Zhao Li
Signal Processing (2024) Vol. 226, pp. 109668-109668
Open Access
Modeling Sparse Graph Sequences and Signals Using Generalized Graphons
Feng Ji, Xingchao Jian, Wee Peng Tay
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 5048-5064
Open Access
Graph convolutional network for compositional data
Shan Lu, Huiwen Wang, Jichang Zhao
Information Fusion (2024), pp. 102798-102798
Closed Access
Kernel Ridge Regression for Generalized Graph Signal Processing
Xingchao Jian, Wee Peng Tay
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 1
Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image
Wei Wang, Jian Wang, Yongjian Sun
Journal of Artificial Intelligence Machine Learning and Data Science (2023) Vol. 1, Iss. 1, pp. 39-48
Open Access | Times Cited: 1
Folded Graph Signals: Sensing with Unlimited Dynamic Range
Feng Ji, Pratibha Pratibha, Wee Peng Tay
arXiv (Cornell University) (2019)
Open Access | Times Cited: 2
Signal Processing with a Distribution of Graph Operators
Feng Ji, Wee Peng Tay
(2021), pp. 551-555
Open Access | Times Cited: 2
Asymptotically Optimal Sampling Policy for Quickest Change Detection with Observation-Switching Cost
Tze Siong Lau, Wee Peng Tay
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Graph Signal Processing over a Probability Space of Shift Operators
Feng Ji, Wee Peng Tay, Antonio Ortega
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
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