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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:

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models
Fei Hua, Roula Nassif, Cédric Richard, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 63-77
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi, Fernando Gama, David I Shuman, et al.
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4745-4781
Open Access | Times Cited: 32
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness
Jhony H. Giraldo, Arif Mahmood, Belmar García-García, et al.
IEEE Transactions on Signal and Information Processing over Networks (2022) Vol. 8, pp. 201-214
Open Access | Times Cited: 35
Kernel Regression Over Graphs Using Random Fourier Features
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, et al.
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 936-949
Closed Access | Times Cited: 20
Bayesian Estimation of Graph Signals
Ariel Kroizer, Tirza Routtenberg, Yonina C. Eldar
IEEE Transactions on Signal Processing (2022) Vol. 70, pp. 2207-2223
Open Access | Times Cited: 18
Adaptive sign algorithm for graph signal processing
Yi Yan, Erçan E. Kuruoğlu, Mustafa A. Altınkaya
Signal Processing (2022) Vol. 200, pp. 108662-108662
Open Access | Times Cited: 16
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 7, pp. 62-74
Open Access | Times Cited: 27
A Robust Diffusion Estimation Algorithm for Asynchronous Networks in IoT
Feng Chen, Limei Hu, Pengfei Liu, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 9, pp. 9103-9115
Closed Access | Times Cited: 23
Distributed Estimation With Adaptive Cluster Learning Over Asynchronous Data Fusion
Yi Hua, Hongping Gan, Fangyi Wan, et al.
IEEE Transactions on Aerospace and Electronic Systems (2023), pp. 1-12
Closed Access | Times Cited: 7
Widely-Linear MMSE Estimation of Complex-Valued Graph Signals
Alon Amar, Tirza Routtenberg
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 1770-1785
Open Access | Times Cited: 7
A shrinkage adaptive filtering algorithm with graph filter models
Shuai Wei, Hongyu Ni, Jinghai Wu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 703-712
Closed Access | Times Cited: 2
Distributed functional link adaptive filtering for nonlinear graph signal processing
Lei Li, Yi-Fei Pu, Zhengyan Luo
Digital Signal Processing (2022) Vol. 128, pp. 103558-103558
Closed Access | Times Cited: 11
Distributed Nonlinear Polynomial Adaptive Graph Filter Based on Diffusion Conjugate Gradient Strategy
Wenyuan Wang, Kutluyıl Doğançay
IEEE Transactions on Circuits & Systems II Express Briefs (2023) Vol. 71, Iss. 2, pp. 947-951
Closed Access | Times Cited: 5
A Computation-Efficient Decentralized Algorithm for Composite Constrained Optimization
Qingguo Lü, Xiaofeng Liao, Huaqing Li, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 774-789
Closed Access | Times Cited: 14
Tensor Recursive Least Squares Filters for Multichannel Interrelational Signals
Shih Yu Chang, Hsiao‐Chun Wu
IEEE Transactions on Signal and Information Processing over Networks (2021) Vol. 7, pp. 562-577
Closed Access | Times Cited: 11
Adaptive diffusion networks: An overview
Daniel G. Tiglea, Renato Candido, Magno T. M. Silva
Signal Processing (2024) Vol. 223, pp. 109570-109570
Closed Access | Times Cited: 1
Graph Diffusion Kernel LMS using Random Fourier Features
Vinay Chakravarthi Gogineni, Vitor R. M. Elias, Wallace A. Martins, et al.
2014 48th Asilomar Conference on Signals, Systems and Computers (2020)
Open Access | Times Cited: 11
Distributed Training of Graph Convolutional Networks
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 7, pp. 87-100
Open Access | Times Cited: 11
Distributed Adaptive Multi-Task Learning Based on Partially Observed Graph Signals
Wei Xia, Junbin Chen, Lisha Yu
IEEE Transactions on Signal and Information Processing over Networks (2021) Vol. 7, pp. 522-538
Closed Access | Times Cited: 8
A diffusion strategy for robust distributed estimation based on streaming graph signals
Xinyu Li, Feng Chen, Qing Shi, et al.
ISA Transactions (2023) Vol. 140, pp. 237-249
Closed 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
Multikernel adaptive filtering over graphs based on normalized LMS algorithm
Yilin Xiao, Wenxu Yan, Kutluyıl Doğançay, et al.
Signal Processing (2023) Vol. 214, pp. 109230-109230
Open Access | Times Cited: 2
Robust logarithmic hyperbolic cosine adaptive filtering over graph signals
Peng Cai, Shiyuan Wang, Yunfei Zheng, et al.
Digital Signal Processing (2023) Vol. 146, pp. 104356-104356
Closed Access | Times Cited: 2
Redes de difusão adaptativas podem se sair melhor com menos dados?
Daniel G. Tiglea
(2024)
Open Access
MAP Estimation of Graph Signals
Guy Sagi, Tirza Routtenberg
IEEE Transactions on Signal Processing (2023) Vol. 72, pp. 463-479
Closed Access | Times Cited: 1
Towards Interpretable Multi-task Learning Using Bilevel Programming
Francesco Alesiani, Shujian Yu, Ammar Shaker, et al.
Lecture notes in computer science (2021), pp. 593-608
Open Access | Times Cited: 3
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