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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:

A comparative study of machine learning algorithms for epileptic seizure classification on EEG signals
Elly Matul Imah, Arif Widodo
(2017), pp. 401-408
Closed Access | Times Cited: 16

Showing 16 citing articles:

Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals
Athar A. Ein Shoka, Monagi H. Alkinani, A. S. El-Sherbeny, et al.
Brain Informatics (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 57
Epilepsy Detection with Multi-channel EEG Signals Utilizing AlexNet
Sohaib Majzoub, Ahmed Fahmy, Fadi N. Sibai, et al.
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 11, pp. 6780-6797
Closed Access | Times Cited: 8
Classification of Emotional State Based on EEG Signal using AMGLVQ
Annisa’ Hilmi Masruroh, Elly Matul Imah, Endah Rahmawati
Procedia Computer Science (2019) Vol. 157, pp. 552-559
Open Access | Times Cited: 19
A Review of EEG Signal Analysis for Diagnosis of Neurological Disorders using Machine Learning
Vandana Joshi, Nirali Nanavati
Journal of Biomedical Photonics & Engineering (2021) Vol. 7, Iss. 4
Open Access | Times Cited: 10
A Real-Time Seizure Classification System Using Computer Vision Techniques
Pavan Kumar Pothula, Sriram Marisetty, Madhav Rao
2022 IEEE International Systems Conference (SysCon) (2022), pp. 1-6
Closed Access | Times Cited: 7
Epileptic Seizure Classification based on Supervised Learning Models
Raluca Maria Aileni, Sever Pasca, Adriana Florescu
(2019)
Closed Access | Times Cited: 7
Performance Analysis of Supervised Machine Learning Algorithms for Epileptic Seizure Detection with high variability EEG datasets: A Comparative Study
Gopal Chandra Jana, Anshuman Sabath, Anupam Agrawal
2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2019), pp. 1-6
Closed Access | Times Cited: 6
Use of Brain Electrical Activity to Classify People with Concussion: A Deep Learning Approach
Sajila D. Wickramaratne, Md Shaad Mahmud, Robert S. Ross
(2020), pp. 1-6
Closed Access | Times Cited: 6
Exploration and Analysis of Seizure Spikes Through Spectral Domain Transformation
Najmusseher Najmusseher, P. K. Nizar Banu, Ahmad Taher Azar, et al.
Smart innovation, systems and technologies (2024), pp. 99-113
Closed Access
Adaptive Stepwise Feature Selection Approach for EEG-Based Epileptic Seizure Classification
Sunday Timothy Aboyeji, Wenfang Zhou, Yuan Tao, et al.
(2024), pp. 1-4
Closed Access
Do Features From Short Durational Segments Classify Epileptic EEG Signals Effectively?
Fasil O.K., R. Rajesh
(2018), pp. 1-5
Closed Access | Times Cited: 1
Fractal dynamics of time series fluctuations for estimating the efficiency of dolphin-assisted therapies on children with trisomy 21
Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Erika Yolanda Aguilar del Villar, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 1
Epileptic Seizure Detection of EEG Signal Using Wavelet Based Feature Extraction and Machine Learning Algorithms
Hemanshu Dhuria, M. Jasmine Pemeena Priyadarsini, Rajat Pandit, et al.
Lecture notes in electrical engineering (2021), pp. 1393-1401
Closed Access | Times Cited: 1
A Systematic Review of EEG Signals Classification Using Machine Learning and Deep Learning Approach
Sachin Chawla, Rajeev Ranjan, Yogendra Narayan
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1228-1232
Closed Access
Help Tetraplegic People by Means of a Computational Neuronal Control System
Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, et al.
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 1
Open Access
Adaptive octopus deep transfer learning based epileptic seizure classification on field programmable gate arrays
B. Indira Priyadarshini, D. Krishna Reddy
Evolving Systems (2022) Vol. 14, Iss. 3, pp. 479-499
Closed Access
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