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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 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

Showing 1-25 of 394 citing articles:

A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform
Abhijit Bhattacharyya, Ram Bilas Pachori
IEEE Transactions on Biomedical Engineering (2017) Vol. 64, Iss. 9, pp. 2003-2015
Closed Access | Times Cited: 384
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
Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals
Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Entropy (2015) Vol. 17, Iss. 2, pp. 669-691
Open Access | Times Cited: 297
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 297
Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier
Md Mursalin, Yuan Zhang, Yuehui Chen, et al.
Neurocomputing (2017) Vol. 241, pp. 204-214
Closed Access | Times Cited: 265
Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images
Shishir Maheshwari, Ram Bilas Pachori, U. Rajendra Acharya
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 3, pp. 803-813
Closed Access | Times Cited: 264
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
A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry
Pramod Gaur, Ram Bilas Pachori, Hui Wang, et al.
Expert Systems with Applications (2017) Vol. 95, pp. 201-211
Closed Access | Times Cited: 228
Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing
Yong Lv, Rui Yuan, Gangbing Song
Mechanical Systems and Signal Processing (2016) Vol. 81, pp. 219-234
Open Access | Times Cited: 223
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
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
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
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
Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals
Tingxi Wen, Zhongnan Zhang
IEEE Access (2018) Vol. 6, pp. 25399-25410
Open Access | Times Cited: 183
Complex networks and deep learning for EEG signal analysis
Zhongke Gao, Weidong Dang, Xinmin Wang, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 3, pp. 369-388
Open Access | Times Cited: 156
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
EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review
Ijaz Ahmad, Xin Wang, Mingxing Zhu, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 103
Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System
Fatemeh Serpush, Mohammad Bagher Menhaj, Behrooz Masoumi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-31
Open Access | Times Cited: 77
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
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
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
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