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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:

Convolutional neural network for detection and classification of seizures in clinical data
Tomas Iešmantas, Robertas Alzbutas
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 9, pp. 1919-1932
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 300
Complex networks and deep learning for EEG signal analysis
Zhongke Gao, Weidong Dang, Xinmin Wang, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 3, pp. 369-388
Open Access | Times Cited: 157
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches
Milind Natu, Mrinal Bachute, Shilpa Gite, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 70
Exploration of EEG-Based Depression Biomarkers Identification Techniques and Their Applications: A Systematic Review
Antora Dev, N. Roy, Md. Kafiul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 16756-16781
Open Access | Times Cited: 56
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106053-106053
Open Access | Times Cited: 56
Applications of Artificial Intelligence in Automatic Detection of Epileptic Seizures Using EEG Signals: A Review
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Artificial Intelligence and Applications (2022) Vol. 1, Iss. 1, pp. 11-25
Open Access | Times Cited: 41
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population
Shu Lih Oh, Jahmunah Vicnesh, Elizabeth E. Palmer, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107312-107312
Open Access | Times Cited: 35
Data leakage in deep learning studies of translational EEG
Geoffrey Brookshire, Jake Kasper, Nicholas M. Blauch, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 7
Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals
Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 423-423
Open Access | Times Cited: 27
Interactive local and global feature coupling for EEG-based epileptic seizure detection
Yanna Zhao, Dengyu Chu, Jiatong He, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104441-104441
Closed Access | Times Cited: 26
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
Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review
Niamh McCallan, Scot Davidson, Kok Yew Ng, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121040-121040
Open Access | Times Cited: 13
Minireview of Epilepsy Detection Techniques Based on Electroencephalogram Signals
Guangda Liu, Ruolan Xiao, Lanyu Xu, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 29
EEG signal analysis using deep learning: A systematic literature review
Ghita Amrani, Amina Adadi, Mohammed Berrada, et al.
(2021), pp. 1-8
Closed Access | Times Cited: 27
A Combined Windowing and Deep Learning Model for the Classification of Brain Disorders Based on Electroencephalogram Signals
Dina M Abooelzahab, Nawal Zaher, Abdel‐Hamid Soliman, et al.
AI (2025) Vol. 6, Iss. 3, pp. 42-42
Open Access
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Seizure Detection of EEG Signals Based on Multi-Channel Long and Short-Term Memory-Like Spiking Neural Model
Min Wu, Hong Peng, Zhicai Liu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 10
Closed Access | Times Cited: 3
Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection
Tao Zhang, Zhiwu Han, Xiaojuan Chen, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102827-102827
Closed Access | Times Cited: 20
Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions
Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1045-1056
Open Access | Times Cited: 18
A Meta-Gnn Approach to Personalized Seizure Detection and Classification
Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023) Vol. 30, pp. 1-5
Open Access | Times Cited: 5
A Review on EEG based Epileptic Seizures Detection using Deep Learning Techniques
Srikanth Cherukuvada, R. Kayalvizhi
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 966-973
Closed Access | Times Cited: 8
Towards trustworthy seizure onset detection using workflow notes
Khaled Saab, Siyi Tang, Mohamed Taha, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection
Qinyue Zheng, Arun Venkitaraman, Simona Petravic, et al.
Lecture notes in computer science (2023), pp. 547-563
Closed Access | Times Cited: 3
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
Epileptic Spike Detection Using Neural Networks with Linear-Phase Convolutions
Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
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