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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:

COMPUTER-BASED IDENTIFICATION OF NORMAL AND ALCOHOLIC EEG SIGNALS USING WAVELET PACKETS AND ENERGY MEASURES
Oliver Faust, Wenwei Yu, Nahrizul Adib Kadri
Journal of Mechanics in Medicine and Biology (2013) Vol. 13, Iss. 03, pp. 1350033-1350033
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Clinical Decision Support System for Alcoholism Detection Using the Analysis of EEG Signals
Jiajie Liu, K. Narasimhan, V. Elamaran, et al.
IEEE Access (2018) Vol. 6, pp. 61457-61461
Open Access | Times Cited: 31
Spectral entropy feature subset selection using SEPCOR to detect alcoholic impact on gamma sub band visual event related potentials of multichannel electroencephalograms (EEG)
T. K. Padma Shri, N. Sriraam
Applied Soft Computing (2016) Vol. 46, pp. 441-451
Closed Access | Times Cited: 30
Classification of Alcoholic and Non-Alcoholic EEG Signals Based on Sliding-SSA and Independent Component Analysis
Shrey Agarwal, Muhammad Zubair
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26198-26206
Open Access | Times Cited: 21
EEG Classification of Normal and Alcoholic by Deep Learning
Houchi Li, Lei Wu
Brain Sciences (2022) Vol. 12, Iss. 6, pp. 778-778
Open Access | Times Cited: 15
Fast Fractional Fourier Transform-Aided Novel Graphical Approach for EEG Alcoholism Detection
Muhammad Tariq Sadiq, Adnan Yousaf, Siuly Siuly, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 464-464
Open Access | Times Cited: 2
An Automated Alcoholism Detection Using Orthogonal Wavelet Filter Bank
Sunny Shah, Manish Sharma, Dipankar Deb, et al.
Advances in intelligent systems and computing (2018), pp. 473-483
Closed Access | Times Cited: 23
APPLICATION OF S-TRANSFORM FOR AUTOMATED DETECTION OF VIGILANCE LEVEL USING EEG SIGNALS
Rahul Upadhyay, Prabin Kumar Padhy, Pavan Kumar Kankar
Journal of Biological Systems (2016) Vol. 24, Iss. 01, pp. 1-27
Closed Access | Times Cited: 20
The role of real-time in biomedical science: A meta-analysis on computational complexity, delay and speedup
Oliver Faust, Wenwei Yu, U. Rajendra Acharya
Computers in Biology and Medicine (2015) Vol. 58, pp. 73-84
Closed Access | Times Cited: 17
Empirical comparison of deep learning methods for EEG decoding
Iago Henrique de Oliveira, Abner Cardoso Rodrigues
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 5
A Deep Learning-Based Approach for Accurate Diagnosis of Alcohol Usage Severity Using EEG Signals
Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee
IETE Journal of Research (2022) Vol. 69, Iss. 11, pp. 7816-7830
Closed Access | Times Cited: 8
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong‐Whan Lee
(2019), pp. 1-6
Closed Access | Times Cited: 12
Analysis of Alcoholic EEG Signal using Semantic Technologies
Amritha Gopakumar, Aathira Shine, T Anjali
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 171-175
Closed Access | Times Cited: 4
Efficient novel network and index for alcoholism detection from EEGs
Muhammad Tariq Sadiq, Siuly Siuly, Ahmad Almogren, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 4
Auto-correlation Based Feature Extraction Approach for EEG Alcoholism Identification
Muhammad Tariq Sadiq, Siuly Siuly, Ateeq Ur Rehman, et al.
Lecture notes in computer science (2021), pp. 47-58
Closed Access | Times Cited: 8
ASSESSMENT OF CARDIAC HEART FAILURE AND CARDIAC ARTERY DISEASE BY THE HIGHER ORDER SPECTRA
Ram Sewak Singh, Barjinder Singh Saini, Ramesh Kumar Sunkaria
Biomedical Engineering Applications Basis and Communications (2018) Vol. 30, Iss. 02, pp. 1850016-1850016
Closed Access | Times Cited: 7
BCI-based alcohol patient detection
Thangarajah Vinothraj, Denshiya Dominic Alfred, Senaka Amarakeerthi, et al.
(2017), pp. 1-6
Closed Access | Times Cited: 7
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model
Mohammed Diykh, Shahab Abdulla, Atheer Y. Oudah, et al.
Lecture notes in computer science (2021), pp. 82-92
Closed Access | Times Cited: 6
Correlation and Relief Attribute Rank-based Feature Selection Methods for Detection of Alcoholic Disorder Using Electroencephalogram Signals
Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee
IETE Journal of Research (2020) Vol. 68, Iss. 5, pp. 3816-3828
Closed Access | Times Cited: 5
A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection
Neeraj Neeraj, Vatsal Singhal, Jimson Mathew
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2021) Vol. 80, pp. 1-4
Closed Access | Times Cited: 4
Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review
Erick Javier Argüello Prada, Javier Ferney Castillo García
Sensors (2024) Vol. 24, Iss. 22, pp. 7193-7193
Open Access
Analysis and detection of sentient state from alcoholic EEG signals using the fast Fourier transform features based multiple classifiers
Harikumar Rajaguru, M. Gowri Shankar, C. Ganesh Babu
AIP conference proceedings (2023) Vol. 2725, pp. 020004-020004
Open Access | Times Cited: 1
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
Hanan Al‐Hadeethi, Shahab Abdulla, Mohammed Diykh, et al.
Frontiers in Neuroinformatics (2022) Vol. 15
Open Access | Times Cited: 2
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Muhammad Tariq Sadiq, Hesam Akbari, Siuly Siuly, et al.
Lecture notes in computer science (2022), pp. 100-112
Closed Access | Times Cited: 2
Classification of Alcoholic and Non-Alcoholic EEG Signals Based on Sliding-SSA and Independent Component Analysis
Muhammad Zubair
(2021)
Open Access | Times Cited: 2
ALCOHOLIC INDEX USING NON-LINEAR FEATURES EXTRACTED FROM DIFFERENT FREQUENCY BANDS
G. Muralidhar Bairy, U. C. Niranjan, Shu Lih Oh, et al.
Journal of Mechanics in Medicine and Biology (2017) Vol. 17, Iss. 07, pp. 1740009-1740009
Closed Access | Times Cited: 1

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