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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:

Automated EEG analysis of epilepsy: A review
U. Rajendra Acharya, S. Vinitha Sree, G. Swapna, et al.
Knowledge-Based Systems (2013) Vol. 45, pp. 147-165
Closed Access | Times Cited: 743

Showing 26-50 of 743 citing articles:

Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
Shreya Bhat, U. Rajendra Acharya, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2018) Vol. 102, pp. 234-241
Closed Access | Times Cited: 170
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert Banville, Omar Chehab, Aapo Hyvärinen, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 4, pp. 046020-046020
Open Access | Times Cited: 167
Dry Electrodes for Human Bioelectrical Signal Monitoring
Yulin Fu, Jingjing Zhao, Ying Dong, et al.
Sensors (2020) Vol. 20, Iss. 13, pp. 3651-3651
Open Access | Times Cited: 146
Electroencephalography (EEG) Technology Applications and Available Devices
Mahsa Soufineyestani, Dale Dowling, Arshia Khan
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7453-7453
Open Access | Times Cited: 145
A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis
Gaowei Xu, Tianhe Ren, Yu Chen, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 138
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104803-104803
Closed Access | Times Cited: 137
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy
Ahmed Abdelhameed, Magdy Bayoumi
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 128
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103417-103417
Open Access | Times Cited: 117
A deep learning based ensemble learning method for epileptic seizure prediction
Syed Muhammad Usman, Shehzad Khalid, Sadaf Bashir
Computers in Biology and Medicine (2021) Vol. 136, pp. 104710-104710
Closed Access | Times Cited: 111
A study of deep learning approach for the classification of electroencephalogram (EEG) brain signals
Dharmendra Pathak, Ramgopal Kashyap, Surendra Rahamatkar
Elsevier eBooks (2022), pp. 133-144
Closed Access | Times Cited: 85
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 76
A scoping review on the use of consumer-grade EEG devices for research
Joshua Sabio, Nikolas Williams, Genevieve McArthur, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0291186-e0291186
Open Access | Times Cited: 16
An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures
Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Entropy (2015) Vol. 17, Iss. 8, pp. 5218-5240
Open Access | Times Cited: 177
Computer-Aided Diagnosis of Depression Using EEG Signals
U. Rajendra Acharya, Vidya K. Sudarshan, Hojjat Adeli, et al.
European Neurology (2015) Vol. 73, Iss. 5-6, pp. 329-336
Open Access | Times Cited: 176
An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks
Manish Sharma, Abhinav Dhere, Ram Bilas Pachori, et al.
Knowledge-Based Systems (2016) Vol. 118, pp. 217-227
Closed Access | Times Cited: 158
Classification of seizure and seizure-free EEG signals using local binary patterns
T. Sunil Kumar, Vivek Kanhangad, Ram Bilas Pachori
Biomedical Signal Processing and Control (2014) Vol. 15, pp. 33-40
Closed Access | Times Cited: 155
Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis
Sutrisno Ibrahim, Ridha Djemal, Abdullah Alsuwailem
Journal of Applied Biomedicine (2017) Vol. 38, Iss. 1, pp. 16-26
Closed Access | Times Cited: 155
A machine learning system for automated whole-brain seizure detection
Paul Fergus, Arshad Hussain, David Hignett, et al.
Applied Computing and Informatics (2015) Vol. 12, Iss. 1, pp. 70-89
Open Access | Times Cited: 154
A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals
Anubha Gupta, Pushpendra Singh, Mandar Karlekar
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 5, pp. 925-935
Closed Access | Times Cited: 154
Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques
Paul Fergus, David Hignett, Abir Hussain, et al.
BioMed Research International (2015) Vol. 2015, pp. 1-17
Open Access | Times Cited: 151
AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier
Tao Zhang, Wanzhong Chen, Mingyang Li
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 550-559
Closed Access | Times Cited: 151
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, et al.
Expert Systems with Applications (2020) Vol. 163, pp. 113788-113788
Closed Access | Times Cited: 130
Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion
Yücel Çimtay, Erhan Ekmekcioǧlu, Seyma Caglar‐Ozhan
IEEE Access (2020) Vol. 8, pp. 168865-168878
Open Access | Times Cited: 130
Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection
Morteza Zabihi, Serkan Kıranyaz, Ali Bahrami Rad, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2015) Vol. 24, Iss. 3, pp. 386-398
Closed Access | Times Cited: 123
An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals
Manish Sharma, P.V. Achuth, Dipankar Deb, et al.
Cognitive Systems Research (2018) Vol. 52, pp. 508-520
Closed Access | Times Cited: 123

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