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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: 740

Showing 1-25 of 740 citing articles:

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2017) Vol. 100, pp. 270-278
Closed Access | Times Cited: 1409
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 051001-051001
Open Access | Times Cited: 1019
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions
Rajeev Sharma, Ram Bilas Pachori
Expert Systems with Applications (2014) Vol. 42, Iss. 3, pp. 1106-1117
Closed Access | Times Cited: 393
Epileptic Seizure Detection Based on EEG Signals and CNN
Mengni Zhou, Cheng Tian, Rui Cao, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 387
A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension
Manish Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Pattern Recognition Letters (2017) Vol. 94, pp. 172-179
Closed Access | Times Cited: 365
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont, Apiwat Lek-uthai, Krisnachai Chomtho, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101702-101702
Open Access | Times Cited: 291
EEG seizure detection and prediction algorithms: a survey
Turkey N. Alotaiby, Saleh A. Alshebeili, Tariq Alshawi, et al.
EURASIP Journal on Advances in Signal Processing (2014) Vol. 2014, Iss. 1
Open Access | Times Cited: 260
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 139-155
Open Access | Times Cited: 254
Classification of ictal and seizure-free EEG signals using fractional linear prediction
Varun Joshi, Ram Bilas Pachori, Antony Vijesh
Biomedical Signal Processing and Control (2013) Vol. 9, pp. 1-5
Closed Access | Times Cited: 248
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
Betül Ay, Özal Yıldırım, Muhammed Talo, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 238
Characterization of focal EEG signals: A review
U. Rajendra Acharya, Yuki Hagiwara, Sunny Nitin Deshpande, et al.
Future Generation Computer Systems (2018) Vol. 91, pp. 290-299
Closed Access | Times Cited: 221
Application of Higuchi's fractal dimension from basic to clinical neurophysiology: A review
Srdjan Kesić, Sladjana Z. Spasić
Computer Methods and Programs in Biomedicine (2016) Vol. 133, pp. 55-70
Closed Access | Times Cited: 219
Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals
Ashwani Kumar Tiwari, Ram Bilas Pachori, Vivek Kanhangad, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 4, pp. 888-896
Closed Access | Times Cited: 219
A Multi-View Deep Learning Framework for EEG Seizure Detection
Ye Yuan, Guangxu Xun, Kebin Jia, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 1, pp. 83-94
Closed Access | Times Cited: 215
Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals
Ramy Hussein, Hamid Palangi, Rabab Ward, et al.
Clinical Neurophysiology (2018) Vol. 130, Iss. 1, pp. 25-37
Closed Access | Times Cited: 211
EEG classification of ADHD and normal children using non-linear features and neural network
Mohammad Reza Mohammadi, Ali Khaleghi, Ali Motie Nasrabadi, et al.
Biomedical Engineering Letters (2016) Vol. 6, Iss. 2, pp. 66-73
Closed Access | Times Cited: 206
LMD Based Features for the Automatic Seizure Detection of EEG Signals Using SVM
Tao Zhang, Wanzhong Chen
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 8, pp. 1100-1108
Closed Access | Times Cited: 203
Autism: cause factors, early diagnosis and therapies
Shreya Bhat, U. Rajendra Acharya, Hojjat Adeli, et al.
Reviews in the Neurosciences (2014) Vol. 25, Iss. 6
Closed Access | Times Cited: 201
A novel approach for automated detection of focal EEG signals using empirical wavelet transform
Abhijit Bhattacharyya, Manish Sharma, Ram Bilas Pachori, et al.
Neural Computing and Applications (2016) Vol. 29, Iss. 8, pp. 47-57
Closed Access | Times Cited: 201
Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition
Yücel Çimtay, Erhan Ekmekcioǧlu
Sensors (2020) Vol. 20, Iss. 7, pp. 2034-2034
Open Access | Times Cited: 198
Towards accurate prediction of epileptic seizures: A review
Elie Bou Assi, Dang Khoa Nguyen, Sandy Rihana, et al.
Biomedical Signal Processing and Control (2017) Vol. 34, pp. 144-157
Closed Access | Times Cited: 195
A novel robust diagnostic model to detect seizures in electroencephalography
Piyush Swami, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi, et al.
Expert Systems with Applications (2016) Vol. 56, pp. 116-130
Closed Access | Times Cited: 192
Epileptic Seizures Prediction Using Machine Learning Methods
Syed Muhammad Usman, Muhammad Usman, Simon Fong
Computational and Mathematical Methods in Medicine (2017) Vol. 2017, pp. 1-10
Open Access | Times Cited: 189
Epilepsy Detection by Using Scalogram Based Convolutional Neural Network from EEG Signals
Ömer Türk, Mehmet Siraç Özerdem
Brain Sciences (2019) Vol. 9, Iss. 5, pp. 115-115
Open Access | Times Cited: 183
A deep convolutional neural network model for automated identification of abnormal EEG signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
Neural Computing and Applications (2018) Vol. 32, Iss. 20, pp. 15857-15868
Closed Access | Times Cited: 180
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