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:

Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks
Jarosław Żygierewicz, Romuald A. Janik, Igor T. Podolak, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046053-046053
Open Access | Times Cited: 11

Showing 11 citing articles:

Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 5
Evaluation Metrics for XAI: A Review, Taxonomy, and Practical Applications
Md Abdul Kadir, Amir Mosavi, Daniel Sonntag
(2023), pp. 000111-000124
Closed Access | Times Cited: 7
Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis
Jacek Rogala, Jarosław Żygierewicz, Urszula Malinowska, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Applications of Self-Supervised Learning to Biomedical Signals: A Survey
Federico Del Pup, Manfredo Atzori
IEEE Access (2023) Vol. 11, pp. 144180-144203
Open Access | Times Cited: 6
Applications of Self-Supervised Learning to Biomedical Signals: a Survey
Federico Del Pup, Manfredo Atzori
(2023)
Open Access | Times Cited: 2
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Gabriel Rodrigues Palma, Conor Thornberry, Seán Commins, et al.
Neuroinformatics (2024)
Open Access
Performance of game sessions in VR vs standard 2D monitor environment. an EEG study
Urszula Malinowska, Jakub Wojciechowski, Marek Waligóra, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access
Applications of Self-Supervised Learning to Biomedical Signals: where are we now
Federico Del Pup, Manfredo Atzori
(2023)
Open Access | Times Cited: 1
Applications of Self-Supervised Learning to Biomedical Signals: where are we now
Federico Del Pup, Manfredo Atzori
(2023)
Open Access | Times Cited: 1
Applications of Self-Supervised Learning to Biomedical Signals: where are we now
Federico Del Pup, Manfredo Atzori
(2023)
Open Access | Times Cited: 1
A Deep Neural Network for Working Memory Load Prediction from EEG Ensemble Empirical Mode Decomposition
Sriniketan Sridhar, Aníbal Romney, Vidya Manian
Information (2023) Vol. 14, Iss. 9, pp. 473-473
Open Access | Times Cited: 1
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