Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework
U. Rajendra Acharya, S. Vinitha Sree, Ang Peng Chuan Alvin, et al.
Expert Systems with Applications (2012) Vol. 39, Iss. 10, pp. 9072-9078
Closed Access | Times Cited: 202

Showing 26-50 of 202 citing articles:

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
An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism
Shivnarayan Patidar, Ram Bilas Pachori, Abhay Upadhyay, et al.
Applied Soft Computing (2016) Vol. 50, pp. 71-78
Closed Access | Times Cited: 120
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method
U. Rajendra Acharya, K. Sudarshan Vidya, Dhanjoo N. Ghista, et al.
Knowledge-Based Systems (2015) Vol. 81, pp. 56-64
Closed Access | Times Cited: 113
Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan
Expert Systems with Applications (2020) Vol. 164, pp. 114031-114031
Closed Access | Times Cited: 100
A novel approach for classification of epileptic seizures using matrix determinant
S. Raghu, N. Sriraam, Alangar Sathyaranjan Hegde, et al.
Expert Systems with Applications (2019) Vol. 127, pp. 323-341
Closed Access | Times Cited: 98
Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach
Lal Hussain
Cognitive Neurodynamics (2018) Vol. 12, Iss. 3, pp. 271-294
Open Access | Times Cited: 95
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
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier
S. Raghu, N. Sriraam, Yasin Temel, et al.
Computers in Biology and Medicine (2019) Vol. 110, pp. 127-143
Open Access | Times Cited: 94
Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification
Vinícius Rezende Carvalho, Márcio Flávio Dutra Moraes, Antônio P. Braga, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102073-102073
Open Access | Times Cited: 94
A robust methodology for classification of epileptic seizures in EEG signals
Katerina D. Tzimourta, Alexandros T. Tzallas, Νικόλαος Γιαννακέας, et al.
Health and Technology (2018) Vol. 9, Iss. 2, pp. 135-142
Closed Access | Times Cited: 93
Automatic epileptic EEG detection using DT-CWT-based non-linear features
Mingyang Li, Wanzhong Chen, Tao Zhang
Biomedical Signal Processing and Control (2017) Vol. 34, pp. 114-125
Closed Access | Times Cited: 91
Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG
Duo Chen, Suiren Wan, Forrest Sheng Bao
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 5, pp. 413-425
Closed Access | Times Cited: 90
Fuzzy distribution entropy and its application in automated seizure detection technique
Tao Zhang, Wanzhong Chen, Mingyang Li
Biomedical Signal Processing and Control (2017) Vol. 39, pp. 360-377
Closed Access | Times Cited: 87
Seizures classification based on higher order statistics and deep neural network
Rahul Sharma, Ram Bilas Pachori, Pradip Sircar
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101921-101921
Closed Access | Times Cited: 84
Toward the Development of Versatile Brain–Computer Interfaces
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, et al.
IEEE Transactions on Artificial Intelligence (2021) Vol. 2, Iss. 4, pp. 314-328
Open Access | Times Cited: 75
Identification of Epileptic EEG Signals Using Convolutional Neural Networks
Rahib H. Abiyev, Murat Arslan, John Bush Idoko, et al.
Applied Sciences (2020) Vol. 10, Iss. 12, pp. 4089-4089
Open Access | Times Cited: 73
EEG-Rhythm Specific Taylor–Fourier Filter Bank Implemented With O-Splines for the Detection of Epilepsy Using EEG Signals
José Antonio de la O Serna, Mario R. Arrieta Paternina, A. Zamora, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 12, pp. 6542-6551
Closed Access | Times Cited: 71
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami, Ghulam Mubashar Hassan, Abdülhamit Subaşı, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102957-102957
Open Access | Times Cited: 68
On the Use of Wavelet Domain and Machine Learning for the Analysis of Epileptic Seizure Detection from EEG Signals
K. Kavitha, A. Sharmila, Agbotiname Lucky Imoize, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 42
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 722-722
Open Access | Times Cited: 42
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures
S. Raghu, N. Sriraam
Expert Systems with Applications (2017) Vol. 89, pp. 205-221
Closed Access | Times Cited: 85
Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier
S. Raghu, N. Sriraam, G. Pradeep Kumar
Cognitive Neurodynamics (2016) Vol. 11, Iss. 1, pp. 51-66
Open Access | Times Cited: 80
Entropy features for focal EEG and non focal EEG
N. Arunkumar, K. Ram Kumar, V. Venkataraman
Journal of Computational Science (2018) Vol. 27, pp. 440-444
Closed Access | Times Cited: 76
Epilepsy and seizure detection using statistical features in the Complete Ensemble Empirical Mode Decomposition domain
Ahnaf Rashik Hassan, Mohammad Ariful Haque
(2015), pp. 1-6
Closed Access | Times Cited: 68
Wavelet based deep learning approach for epilepsy detection
Rohan Akut
Health Information Science and Systems (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 66

Scroll to top