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:

APPLICATION OF EMPIRICAL MODE DECOMPOSITION (EMD) FOR AUTOMATED DETECTION OF EPILEPSY USING EEG SIGNALS
Roshan Joy Martis, U. Rajendra Acharya, Jen Hong Tan, et al.
International Journal of Neural Systems (2012) Vol. 22, Iss. 06, pp. 1250027-1250027
Closed Access | Times Cited: 228

Showing 1-25 of 228 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

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

Application of entropies for automated diagnosis of epilepsy using EEG signals: A review
U. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan, et al.
Knowledge-Based Systems (2015) Vol. 88, pp. 85-96
Closed Access | Times Cited: 441

Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction
Emina Aličković, Jasmin Kevrić, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2017) Vol. 39, pp. 94-102
Closed Access | Times Cited: 371

Feature extraction and recognition of ictal EEG using EMD and SVM
Shufang Li, Weidong Zhou, Qi Yuan, et al.
Computers in Biology and Medicine (2013) Vol. 43, Iss. 7, pp. 807-816
Closed Access | Times Cited: 276

FREQUENCY RECOGNITION IN SSVEP-BASED BCI USING MULTISET CANONICAL CORRELATION ANALYSIS
Yu Zhang, Guoxu Zhou, Jing Jin, et al.
International Journal of Neural Systems (2013) Vol. 24, Iss. 04, pp. 1450013-1450013
Open Access | Times Cited: 264

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network
U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, et al.
Future Generation Computer Systems (2017) Vol. 79, pp. 952-959
Closed Access | Times Cited: 250

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

Current methods in electrocardiogram characterization
Roshan Joy Martis, U. Rajendra Acharya, Hojjat Adeli
Computers in Biology and Medicine (2014) Vol. 48, pp. 133-149
Closed Access | Times Cited: 242

Classification of seizure based on the time-frequency image of EEG signals using HHT and SVM
Kai Fu, Jianfeng Qu, Yi Chai, et al.
Biomedical Signal Processing and Control (2014) Vol. 13, pp. 15-22
Closed Access | Times Cited: 230

Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study
U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, et al.
Information Sciences (2016) Vol. 377, pp. 17-29
Closed Access | Times Cited: 214

Automated seizure prediction
U. Rajendra Acharya, Yuki Hagiwara, Hojjat Adeli
Epilepsy & Behavior (2018) Vol. 88, pp. 251-261
Closed Access | Times Cited: 174

Scalp EEG classification using deep Bi-LSTM network for seizure detection
Xinmei Hu, Shasha Yuan, Fangzhou Xu, et al.
Computers in Biology and Medicine (2020) Vol. 124, pp. 103919-103919
Closed Access | Times Cited: 159

Brain-computer interface technologies: from signal to action
Alexis Ortiz-Rosario, Hojjat Adeli
Reviews in the Neurosciences (2013) Vol. 24, Iss. 5
Closed Access | Times Cited: 199

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

Linear and nonlinear analysis of normal and CAD-affected heart rate signals
U. Rajendra Acharya, Oliver Faust, Vinitha Sree, et al.
Computer Methods and Programs in Biomedicine (2013) Vol. 113, Iss. 1, pp. 55-68
Open Access | Times Cited: 171

Decision Support Framework for Parkinson’s Disease Based on Novel Handwriting Markers
Peter Drotár, Jiří Mekyska, Irena Rektorová, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014) Vol. 23, Iss. 3, pp. 508-516
Closed Access | Times Cited: 162

Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG
Zhongke Gao, Qing Cai, Yuxuan Yang, et al.
International Journal of Neural Systems (2016) Vol. 27, Iss. 04, pp. 1750005-1750005
Closed Access | Times Cited: 162

Hilbert marginal spectrum analysis for automatic seizure detection in EEG signals
Kai Fu, Jianfeng Qu, Yi Chai, et al.
Biomedical Signal Processing and Control (2015) Vol. 18, pp. 179-185
Closed Access | Times Cited: 158

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
U. Raghavendra, U. Rajendra Acharya, Hojjat Adeli
European Neurology (2019) Vol. 82, Iss. 1-3, pp. 41-64
Open Access | Times Cited: 131

EEG-Based Prediction of Epileptic Seizures Using Phase Synchronization Elicited from Noise-Assisted Multivariate Empirical Mode Decomposition
Dongrae Cho, Beomjun Min, Jong‐In Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 8, pp. 1309-1318
Closed Access | Times Cited: 127

Time–frequency representation using IEVDHM–HT with application to classification of epileptic EEG signals
Rishi Raj Sharma, Ram Bilas Pachori
IET Science Measurement & Technology (2017) Vol. 12, Iss. 1, pp. 72-82
Open Access | Times Cited: 125

Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters
Mehrnoosh Sadat Safi, Seyed Mohammad Mehdi Safi
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102338-102338
Closed Access | Times Cited: 123

AUTOMATED DIAGNOSIS OF EPILEPSY USING CWT, HOS AND TEXTURE PARAMETERS
U. Rajendra Acharya, Ratna Yanti, Jia Wei Zheng, et al.
International Journal of Neural Systems (2013) Vol. 23, Iss. 03, pp. 1350009-1350009
Closed Access | Times Cited: 122

Detection of epileptic seizure based on entropy analysis of short-term EEG
Peng Li, Chandan Karmakar, John Yearwood, et al.
PLoS ONE (2018) Vol. 13, Iss. 3, pp. e0193691-e0193691
Open Access | Times Cited: 114

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