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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 1-25 of 59 citing articles:

Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 896
Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis
Siuly Siuly, Yanchun Zhang
Data Science and Engineering (2016) Vol. 1, Iss. 2, pp. 54-64
Open Access | Times Cited: 182
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
DEPRESSION DIAGNOSIS SUPPORT SYSTEM BASED ON EEG SIGNAL ENTROPIES
Oliver Faust, Peng Chuan Alvin Ang, Subha D. Puthankattil, et al.
Journal of Mechanics in Medicine and Biology (2014) Vol. 14, Iss. 03, pp. 1450035-1450035
Closed Access | Times Cited: 115
Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
Muhammad Tariq Sadiq, Hesam Akbari, Siuly Siuly, et al.
Chaos Solitons & Fractals (2022) Vol. 158, pp. 112036-112036
Closed Access | Times Cited: 57
Dual-Tree Complex Wavelet Transform-Based Features for Automated Alcoholism Identification
Manish Sharma, Pragya Sharma, Ram Bilas Pachori, et al.
International Journal of Fuzzy Systems (2018) Vol. 20, Iss. 4, pp. 1297-1308
Closed Access | Times Cited: 73
Empirical wavelet transform based automated alcoholism detecting using EEG signal features
Arti Anuragi, Dilip Singh Sisodia
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101777-101777
Closed Access | Times Cited: 71
An EEG-based machine learning method to screen alcohol use disorder
Wajid Mumtaz, Pham Lam Vuong, Likun Xia, et al.
Cognitive Neurodynamics (2016) Vol. 11, Iss. 2, pp. 161-171
Open Access | Times Cited: 69
A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals
Manish Sharma, Dipankar Deb, U. Rajendra Acharya
Applied Intelligence (2017)
Closed Access | Times Cited: 63
Classification of Alcoholic EEG Signals Using a Deep Learning Method
Leila Farsi, Siuly Siuly, Enamul Kabir, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 3, pp. 3552-3560
Closed Access | Times Cited: 63
Computer-aided diagnosis of alcoholism-related EEG signals
U. Rajendra Acharya, Vidya Sudevan, Shreya Bhat, et al.
Epilepsy & Behavior (2014) Vol. 41, pp. 257-263
Closed Access | Times Cited: 62
An EEG-based functional connectivity measure for automatic detection of alcohol use disorder
Wajid Mumtaz, Mohamad Naufal bin Mohamad Saad, Nidal Kamel, et al.
Artificial Intelligence in Medicine (2017) Vol. 84, pp. 79-89
Closed Access | Times Cited: 58
Automatic diagnosis of alcohol use disorder using EEG features
Wajid Mumtaz, Pham Lam Vuong, Likun Xia, et al.
Knowledge-Based Systems (2016) Vol. 105, pp. 48-59
Closed Access | Times Cited: 55
A review on EEG-based methods for screening and diagnosing alcohol use disorder
Wajid Mumtaz, Pham Lam Vuong, Aamir Saeed Malik, et al.
Cognitive Neurodynamics (2017) Vol. 12, Iss. 2, pp. 141-156
Open Access | Times Cited: 53
A hybrid method based on time–frequency images for classification of alcohol and control EEG signals
Varun Bajaj, Yanhui Guo, Abdulkadir Şengür, et al.
Neural Computing and Applications (2016) Vol. 28, Iss. 12, pp. 3717-3723
Closed Access | Times Cited: 49
Rhythm‐based identification of alcohol EEG signals
Sachin Taran, Varun Bajaj
IET Science Measurement & Technology (2017) Vol. 12, Iss. 3, pp. 343-349
Closed Access | Times Cited: 49
Automated Alcoholism Detection Using Fourier-Bessel Series Expansion Based Empirical Wavelet Transform
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
IEEE Sensors Journal (2020) Vol. 20, Iss. 9, pp. 4914-4924
Closed Access | Times Cited: 49
A novel approach for automated alcoholism detection using Fourier decomposition method
Virender Kumar Mehla, Amit Singhal, Pushpendra Singh
Journal of Neuroscience Methods (2020) Vol. 346, pp. 108945-108945
Closed Access | Times Cited: 47
Explaining electroencephalogram channel and subband sensitivity for alcoholism detection
Sandeep B. Sangle, Pramod Kachare, Digambar Puri, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109826-109826
Open Access
Efficient method for classification of alcoholic and normal EEG signals using EMD
Anchala Priya, Pooja Yadav, Shweta Jain, et al.
The Journal of Engineering (2018) Vol. 2018, Iss. 3, pp. 166-172
Open Access | Times Cited: 40
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals
Siuly Siuly, Varun Bajaj, Abdulkadir Şengür, et al.
International Journal of Automation and Computing (2019) Vol. 16, Iss. 6, pp. 737-747
Closed Access | Times Cited: 37
Effective Connectivity in Default Mode Network for Alcoholism Diagnosis
Danish M. Khan, Norashikin Yahya, Nidal Kamel, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 796-808
Open Access | Times Cited: 27
A tutorial on signal energy and its applications
Rodrigo Capobianco Guido
Neurocomputing (2015) Vol. 179, pp. 264-282
Closed Access | Times Cited: 40
Detection of alcoholism using EEG signals and a CNN-LSTM-ATTN network
Neeraj Neeraj, Vatsal Singhal, Jimson Mathew, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104940-104940
Closed Access | Times Cited: 26
Ensemble Learning for Alcoholism Classification Using EEG Signals
Seffi Cohen, Or Katz, Dan Presil, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17714-17724
Closed Access | Times Cited: 10
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