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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 Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data
Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 9, pp. 1-12
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Recognition of human emotions using EEG signals: A review
R. Saidur, Ajay Krishno Sarkar, Md. Amzad Hossain, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104696-104696
Closed Access | Times Cited: 154
Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
Mohammad Ashraf Ottom, Hanif Abdul Rahman, Ivo D. Dinov
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-8
Open Access | Times Cited: 95
Multiple classification of EEG signals and epileptic seizure diagnosis with combined deep learning
Muhammet Varlı, Hakan Yılmaz
Journal of Computational Science (2023) Vol. 67, pp. 101943-101943
Closed Access | Times Cited: 56
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
İrem Taşçı, Burak Taşçı, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 96, pp. 252-268
Closed Access | Times Cited: 55
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
Yanli Zhang, Shuxin Yao, Rendi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 135-145
Open Access | Times Cited: 63
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: 58
Pediatric Seizure Prediction in Scalp EEG Using a Multi-Scale Neural Network With Dilated Convolutions
Yikai Gao, Xun Chen, Aiping Liu, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-9
Open Access | Times Cited: 54
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 53
An analysis of explainability methods for convolutional neural networks
Lynn Vonder Haar, Timothy Elvira, Omar Ochoa
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105606-105606
Closed Access | Times Cited: 52
On the Use of Wavelet Domain and Machine Learning for the Analysis of Epileptic Seizure Detection from EEG Signals
K. Kavitha, A. Sharmila, Agbotiname Lucky Imoize, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 42
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
Deep-EEG: An Optimized and Robust Framework and Method for EEG-Based Diagnosis of Epileptic Seizure
Waseem Ahmad Mir, Mohd Anjum, Izharuddin Izharuddin, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 773-773
Open Access | Times Cited: 39
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
Thi Kieu Khanh Ho, Narges Armanfard
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 7866-7874
Open Access | Times Cited: 29
Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis—A comprehensive review
Jin Cao, Ta Zhou, Shaohua Zhi, et al.
Information Sciences (2024) Vol. 662, pp. 120212-120212
Open Access | Times Cited: 17
Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits
Ashit Kumar Dutta, Mohan Raparthi, Mahmood Alsaadi, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 80201-80223
Closed Access | Times Cited: 13
Detection of epileptic seizure using EEG signals analysis based on deep learning techniques
Ali H. Abdulwahhab, Alaa Hussein Abdulaal, Assad H. Thary Al-Ghrairi, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114700-114700
Closed Access | Times Cited: 11
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38
Evaluation of Feature Selection Methods for Classification of Epileptic Seizure EEG Signals
Sergio E. Sánchez-Hernández, Ricardo A. Salido-Ruiz, Sulema Torres-Ramos, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 3066-3066
Open Access | Times Cited: 36
Epileptic-Net: An Improved Epileptic Seizure Detection System Using Dense Convolutional Block with Attention Network from EEG
Md Shafiqul Islam, Keshav Thapa, Sung‐Hyun Yang
Sensors (2022) Vol. 22, Iss. 3, pp. 728-728
Open Access | Times Cited: 31
Traumatic Brain Injury (TBI) Detection: Past, Present, and Future
A.T. Alouani, Tarek Elfouly
Biomedicines (2022) Vol. 10, Iss. 10, pp. 2472-2472
Open Access | Times Cited: 30
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
DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
Ting Li, Weida Tong, Ruth Roberts, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 38
LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection
Siyuan Qiu, Wenjin Wang, Hailong Jiao
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 4, pp. 1845-1856
Closed Access | Times Cited: 25
Electroencephalogram signal classification based on Fourier transform and Pattern Recognition Network for epilepsy diagnosis
Qiang Gao, Alaa Hamza Omran, Yasamin Baghersad, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106479-106479
Closed Access | Times Cited: 16
HCLA_CBiGRU: Hybrid convolutional bidirectional GRU based model for epileptic seizure detection
Milind Natu, Mrinal Bachute, Ketan Kotecha
Neuroscience Informatics (2023) Vol. 3, Iss. 3, pp. 100135-100135
Open Access | Times Cited: 14
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