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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:

Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Mauro F. Pinto, Tiago Coelho, Adriana Leal, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Fábio Lopes, Adriana Leal, Mauro F. Pinto, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Efficient Seizure Prediction and EEG Channel Selection Based on Multi-Objective Optimization
Ranjan Jana, Imon Mukherjee
IEEE Access (2023) Vol. 11, pp. 54112-54121
Open Access | Times Cited: 15
Comparison between epileptic seizure prediction and forecasting based on machine learning
Gonçalo Costa, César Teixeira, Mauro F. Pinto
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
The goal of explaining black boxes in EEG seizure prediction is not to explain models’ decisions
Mauro F. Pinto, Joana Batista, Adriana Leal, et al.
Epilepsia Open (2023) Vol. 8, Iss. 2, pp. 285-297
Open Access | Times Cited: 12
EEG epilepsy seizure prediction: the post-processing stage as a chronology
Joana Batista, Mauro F. Pinto, Mariana Tavares, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A comprehensive evaluation of interpretable artificial intelligence for epileptic seizure diagnosis using an electroencephalogram: A systematic review
Daraje Kaba Gurmessa, Worku Jimma
Digital Health (2025) Vol. 11
Open Access
Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy
Adriana Leal, Juliana Curty, Fábio Lopes, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task
Najwa Kouka, Rahma Fourati, Asma Baghdadi, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1268-1286
Closed Access | Times Cited: 3
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Addressing data limitations in seizure prediction through transfer learning
Fábio Lopes, Mauro F. Pinto, António Dourado, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Multi-view cross-subject seizure detection with information bottleneck attribution
Yanna Zhao, Gaobo Zhang, Yongfeng Zhang, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046011-046011
Closed Access | Times Cited: 14
Concept-Drifts Adaptation For Machine Learning EEG Epilepsy Seizure Prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
MMA: metadata supported multi-variate attention for onset detection and prediction
Manjusha Ravindranath, K. Selçuk Candan, Maria Luisa Sapino, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 1545-1588
Closed Access | Times Cited: 2
Machine learning seizure prediction: one problematic but accepted practice
Joseph West, Zahra Dasht Bozorgi, Jeffrey A. Herron, et al.
Journal of Neural Engineering (2022) Vol. 20, Iss. 1, pp. 016008-016008
Open Access | Times Cited: 9
Identifying epileptic EEGs and congestive heart failure ECGs under unified framework of wavelet scattering transform, bidirectional weighted (2D)2PCA and KELM
Tao Zhang, Wanzhong Chen, Xiaojuan Chen
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 279-297
Closed Access | Times Cited: 4
An automatic classification approach for preterm delivery detection based on deep learning
S. Kavitha, V. Asha
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104771-104771
Closed Access | Times Cited: 2
Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance
Ana Oliveira, Mauro F. Pinto, Fábio Lopes, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 8, pp. 2341-2351
Open Access
High-Sensitivity Nanostructure-Based Sensor Using Fano Resonance for Noninvasive Eeg Monitoring
Huicheng He, Huaixu Chen, Zhanzhe Huang, et al.
(2024)
Closed Access
On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives
Inés Lozano Andrade, César Teixeira, Mauro F. Pinto
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Properties and predictive potential of the pre-ictal oscillatory dynamics in an ex vivo model of epileptiform activity in the different hippocampal subregions
Lida-Evmorfia Vagiaki, Dionysis Xydias, Maria Kefalogianni, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review
Mercy Edoho, Catherine Mooney, Lan Wei
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7398-7398
Open Access
High-sensitivity nanostructure-based sensor using Fano resonance for noninvasive EEG monitoring
Huicheng He, Huaixu Chen, Zhanzhe Huang, et al.
Measurement (2024), pp. 115742-115742
Closed Access
Unsupervised EEG Preictal Interval Identification in Patients with Drug-resistant Epilepsy
Adriana Leal, Juliana Curty, Fábio Lopes, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
EEG Epilepsy Seizure Prediction: The Post-processing Stage as a Chronology
Joana Batista, Mauro F. Pinto, Mariana Taveres, et al.
(2023), pp. 167-168
Closed Access
Metric Learning in Freewill EEG Pre-Movement and Movement Intention Classification for Brain Machine Interfaces
William Plucknett, Luis G. Sánchez Giraldo, Jihye Bae
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access
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