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:

A quadratic linear-parabolic model-based EEG classification to detect epileptic seizures
Antonio Quintero-Rincón, Carlos D’Giano, Hadj Batatia
Journal of Biomedical Research (2020) Vol. 34, Iss. 3, pp. 205-205
Open Access | Times Cited: 12

Showing 12 citing articles:

A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals
Ijaz Ahmad, Mingxing Zhu, Guanglin Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3236-3247
Closed Access | Times Cited: 8
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review
Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, et al.
IEEE Access (2022) Vol. 11, pp. 564-594
Open Access | Times Cited: 25
A review of automatic detection of epilepsy based on EEG signals
Qirui Ren, Xiaofan Sun, Xiangqu Fu, et al.
Journal of Semiconductors (2023) Vol. 44, Iss. 12, pp. 121401-121401
Closed Access | Times Cited: 2
Recent Trends in EEG-Based Epilepsy Detection and Classification: A Comprehensive Review
Priyanka Trivedi, Vyom Shah, Santosh Kumar Satapathy
Advances in intelligent systems and computing (2024), pp. 409-419
Closed Access
Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction
Larbi Boubchir
Journal of Biomedical Research (2020) Vol. 34, Iss. 3, pp. 149-149
Open Access | Times Cited: 3
Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals
Antonio Quintero-Rincón, Valeria Muro, Carlos D’Giano, et al.
Computers (2020) Vol. 9, Iss. 4, pp. 85-85
Open Access | Times Cited: 3
Intelligent assistant diagnosis for pediatric inguinal hernia based on a multilayer and unbalanced classification model
Zhiwen Liu, Gang Chen, Chao-Fan Dong, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 1
Real-Time Epileptic Seizure Detection using Machine Learning Techniques
Indrani Bhattacherjee
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 01-07
Closed Access | Times Cited: 2
An intelligent diagnostic approach for epileptic seizure detection and classification using machine learning
Charles Oluwaseun Adetunji, Olugbemi T. Olaniyan, Olorunsola Adeyomoye, et al.
Elsevier eBooks (2022), pp. 225-243
Closed Access | Times Cited: 2
Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals
Antonio Quintero-Rincón, Hadj Batatia, Jorge Prende, et al.
(2020)
Open Access | Times Cited: 2
Artefacts Detection in EEG Signals
Antonio Quintero-Rincón, Carlos D’Giano, Hadj Batatia
(2021)
Closed Access
Page 1

Scroll to top