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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:

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

Showing 1-25 of 248 citing articles:

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: 394
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions
Ram Bilas Pachori, Shivnarayan Patidar
Computer Methods and Programs in Biomedicine (2013) Vol. 113, Iss. 2, pp. 494-502
Closed Access | Times Cited: 263
Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals
Abhijit Bhattacharyya, Ram Bilas Pachori, Abhay Upadhyay, et al.
Applied Sciences (2017) Vol. 7, Iss. 4, pp. 385-385
Open Access | Times Cited: 256
Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals
Vipin Gupta, Mayur Dahyabhai Chopda, Ram Bilas Pachori
IEEE Sensors Journal (2018) Vol. 19, Iss. 6, pp. 2266-2274
Closed Access | Times Cited: 250
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
EEG signal classification using universum support vector machine
Bharat Richhariya, M. Tanveer
Expert Systems with Applications (2018) Vol. 106, pp. 169-182
Closed Access | Times Cited: 223
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
Epileptic seizure identification using entropy of FBSE based EEG rhythms
Vipin Gupta, Ram Bilas Pachori
Biomedical Signal Processing and Control (2019) Vol. 53, pp. 101569-101569
Closed Access | Times Cited: 145
Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals
Kritiprasanna Das, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102525-102525
Closed Access | Times Cited: 102
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
Mingkan Shen, Peng Wen, Bo Song, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103820-103820
Closed Access | Times Cited: 70
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
Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals
Abeg Kumar Jaiswal, Haider Banka
Biomedical Signal Processing and Control (2017) Vol. 34, pp. 81-92
Closed Access | Times Cited: 169
Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals
Shivnarayan Patidar, Trilochan Panigrahi
Biomedical Signal Processing and Control (2017) Vol. 34, pp. 74-80
Closed Access | Times Cited: 161
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
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
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
Epileptic Seizure Classification of EEGs Using Time–Frequency Analysis Based Multiscale Radial Basis Functions
Yang Li, Xudong Wang, Mei-Lin Luo, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 2, pp. 386-397
Closed Access | Times Cited: 148
A hybrid automated detection of epileptic seizures in EEG records
Noha S. Tawfik, Sherin M. Youssef, Mohamed Kholief
Computers & Electrical Engineering (2015) Vol. 53, pp. 177-190
Closed Access | Times Cited: 133
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals
Anupriya Gogna, Angshul Majumdar, Rabab Ward
IEEE Transactions on Biomedical Engineering (2016) Vol. 64, Iss. 9, pp. 2196-2205
Open Access | Times Cited: 133
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
Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification
Dinesh Bhati, Manish Sharma, Ram Bilas Pachori, et al.
Digital Signal Processing (2016) Vol. 62, pp. 259-273
Closed Access | Times Cited: 125
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
Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations
Ozan Kocadağlı, Reza Langari
Expert Systems with Applications (2017) Vol. 88, pp. 419-434
Closed Access | Times Cited: 97
A novel approach based on wavelet analysis and arithmetic coding for automated detection and diagnosis of epileptic seizure in EEG signals using machine learning techniques
Hafeez Ullah Amin, Mohd Zuki Yusoff, Rana Fayyaz Ahmad
Biomedical Signal Processing and Control (2019) Vol. 56, pp. 101707-101707
Closed Access | Times Cited: 95
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