Open Access Helper

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:

KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification
Daniel Guillermo García-Murillo, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1122-1122
Open Access | Times Cited: 7

Showing 7 citing articles:

EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning
Annu Kumari, Damodar Reddy Edla, R Ravinder Reddy, et al.
Journal of Neuroscience Methods (2024) Vol. 409, pp. 110215-110215
Closed Access | Times Cited: 6
Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability
Santiago Buitrago-Osorio, Julian Gil-González, Andrés Marino Álvarez-Meza, et al.
Applied Sciences (2025) Vol. 15, Iss. 9, pp. 4804-4804
Open Access
A new approach for neural decoding by inspiring of hyperdimensional computing for implantable intra-cortical BMIs
Danial Katoozian, Hossein Hosseini‐Nejad, Mohammad‐Reza A. Dehaqani
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination
Mateo Tobón-Henao, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
Computers (2023) Vol. 12, Iss. 7, pp. 145-145
Open Access | Times Cited: 3
Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems
Hao Sun, Jing Jin, Ian Daly, et al.
Journal of Neuroscience Methods (2023) Vol. 399, pp. 109969-109969
Open Access | Times Cited: 3
Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification
Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas‐Peña, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11208-11208
Open Access
Gaussian Mixture Connectivity with $$\alpha $$-Renyi Regularization for EEG-Based MI Classification
D. V. Salazar-Dubois, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
Communications in computer and information science (2024), pp. 132-147
Closed Access
A novel method for modeling effective connections between brain regions based on EEG signals and graph neural networks for motor imagery detection
Mahya Nikouei, Fardin Abdali-Mohammadi
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-18
Closed Access
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