Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 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

Showing 1-25 of 1483 citing articles:

Deep Learning on Graphs: A Survey
Ziwei Zhang, Peng Cui, Wenwu Zhu
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 1, pp. 249-270
Open Access | Times Cited: 1234
Graph Representation Learning
William L. Hamilton
Synthesis lectures on artificial intelligence and machine learning (2020)
Closed Access | Times Cited: 403
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
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
Hao Liu, Hui Yuan, Junhui Hou, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 7389-7402
Open Access | Times Cited: 283
Graph Representation Learning
William L. Hamilton
Synthesis lectures on artificial intelligence and machine learning (2020) Vol. 14, Iss. 3, pp. 1-159
Closed Access | Times Cited: 271
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang Nt, Takanori Maehara
arXiv (Cornell University) (2019)
Open Access | Times Cited: 249
Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian
Michael T. Schaub, Austin R. Benson, Paul Horn, et al.
SIAM Review (2020) Vol. 62, Iss. 2, pp. 353-391
Open Access | Times Cited: 226
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
Lin Wang, Kuk‐Jin Yoon
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 6, pp. 3048-3068
Open Access | Times Cited: 217
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
Video Summarization Using Deep Neural Networks: A Survey
Evlampios Apostolidis, Eleni Adamantidou, Alexandros I. Metsai, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 11, pp. 1838-1863
Open Access | Times Cited: 208
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 11785-11792
Open Access | Times Cited: 191
Stability Properties of Graph Neural Networks
Fernando Gama, Joan Bruna, Alejandro Ribeiro
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 5680-5695
Open Access | Times Cited: 184
Deep Learning on Graphs: A Survey
Ziwei Zhang, Peng Cui, Wenwu Zhu
arXiv (Cornell University) (2018)
Open Access | Times Cited: 177
Topological Signal Processing Over Simplicial Complexes
Sergio Barbarossa, Stefania Sardellitti
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 2992-3007
Open Access | Times Cited: 173
Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network
Dingcheng Zhang, Edward Stewart, Mani Entezami, et al.
Measurement (2020) Vol. 156, pp. 107585-107585
Open Access | Times Cited: 165
Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions
Shree Krishna Sharma, Isaac Woungang, Alagan Anpalagan, et al.
IEEE Access (2020) Vol. 8, pp. 56948-56991
Open Access | Times Cited: 155
What Are Higher-Order Networks?
Christian Bick, Elizabeth Gross, Heather A. Harrington, et al.
SIAM Review (2023) Vol. 65, Iss. 3, pp. 686-731
Open Access | Times Cited: 139
Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre‐Jean Alet, et al.
IEEE Transactions on Sustainable Energy (2021) Vol. 13, Iss. 2, pp. 1210-1220
Open Access | Times Cited: 126
SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis
Chaoying Yang, Kaibo Zhou, Jie Liu
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 4, pp. 4167-4176
Closed Access | Times Cited: 123
Signal processing on higher-order networks: Livin’ on the edge... and beyond
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, et al.
Signal Processing (2021) Vol. 187, pp. 108149-108149
Open Access | Times Cited: 116
Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad Taghi Hamidi Beheshti, et al.
Neurocomputing (2022) Vol. 517, pp. 44-61
Open Access | Times Cited: 77
Distributed harmonic patterns of structure-function dependence orchestrate human consciousness
Andrea I. Luppi, Jakub Vohryzek, Morten L. Kringelbach, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 69
Graph Signal Processing: History, development, impact, and outlook
Geert Leus, Antonio G. Marqués, José M. F. Moura, et al.
IEEE Signal Processing Magazine (2023) Vol. 40, Iss. 4, pp. 49-60
Open Access | Times Cited: 50
Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions
Wei Liu, Martin Haardt, Maria Greco, et al.
IEEE Signal Processing Magazine (2023) Vol. 40, Iss. 4, pp. 80-91
Open Access | Times Cited: 48
Federated Graph Neural Networks: Overview, Techniques, and Challenges
Rui Liu, Pengwei Xing, Zichao Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4279-4295
Open Access | Times Cited: 39
Page 1 - Next Page

Scroll to top