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:

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

Showing 1-25 of 58 citing articles:

A Review on Machine Learning for EEG Signal Processing in Bioengineering
Mohammad-Parsa Hosseini, Amin Hosseini, Kiarash Ahi
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 204-218
Closed Access | Times Cited: 299
A comparative analysis of signal processing and classification methods for different applications based on EEG signals
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 2, pp. 649-690
Closed Access | Times Cited: 208
Emerging Trends in EEG Signal Processing: A Systematic Review
Ramnivas Sharma, Hemant Kumar Meena
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 23
Depression recognition using machine learning methods with different feature generation strategies
Xiaowei Li, Xin Zhang, Jing Zhu, et al.
Artificial Intelligence in Medicine (2019) Vol. 99, pp. 101696-101696
Closed Access | Times Cited: 124
A New Hybrid Seagull Optimization Algorithm for Feature Selection
Heming Jia, Zhikai Xing, Wenlong Song
IEEE Access (2019) Vol. 7, pp. 49614-49631
Open Access | Times Cited: 84
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
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: 72
Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform
Arti Anuragi, Dilip Singh Sisodia
Biomedical Signal Processing and Control (2018) Vol. 52, pp. 384-393
Closed Access | Times Cited: 68
A decision support system for automated diagnosis of Parkinson’s disease from EEG using FAWT and entropy features
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104116-104116
Closed Access | Times Cited: 31
Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction
Longtao Yang, Yanyao Du, Wenhan Yang, et al.
Addiction Biology (2023) Vol. 28, Iss. 2
Closed Access | Times Cited: 21
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 19
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
AM-EEGNet: An advanced multi-input deep learning framework for classifying stroke patient EEG task states
Ping-Ju Lin, Wei Li, Xiaoxue Zhai, et al.
Neurocomputing (2024) Vol. 585, pp. 127622-127622
Closed Access | Times Cited: 6
Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm
Said Abenna, Mohammed Nahid, Abderrahim Bajit
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103102-103102
Closed Access | Times Cited: 34
Computer-aided classifying and characterizing of methamphetamine use disorder using resting-state EEG
Hassan Khajehpour, Fahimeh Mohagheghian, Hamed Ekhtiari, et al.
Cognitive Neurodynamics (2019) Vol. 13, Iss. 6, pp. 519-530
Open Access | Times Cited: 36
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
Dementia classification using a graph neural network on imaging of effective brain connectivity
Jun Cao, Lichao Yang, Ptolemaios G. Sarrigiannis, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107701-107701
Open Access | Times Cited: 12
Machine Learning in Addiction Research: Advancements, Challenges, and Future Directions
Rita Rani Talukdar, Priti Das
Studies in computational intelligence (2025), pp. 207-219
Closed Access
Optimal EEG channels selection for alcoholism screening using EMD domain statistical features and harmony search algorithm
Sandeep Bavkar, Brijesh Iyer, S. B. Deosarkar
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 83-96
Closed Access | Times Cited: 28
Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction
Dardo Tomasi, Corinde E. Wiers, Peter Manza, et al.
Cerebral Cortex (2021) Vol. 31, Iss. 7, pp. 3254-3265
Open Access | Times Cited: 25
Practical foundations of machine learning for addiction research. Part I. Methods and techniques
Pablo Cresta Morgado, Martín Carusso, Laura Alonso Alemany, et al.
The American Journal of Drug and Alcohol Abuse (2022) Vol. 48, Iss. 3, pp. 260-271
Open Access | Times Cited: 14
Comparison of machine learning models to classify Auditory Brainstem Responses recorded from children with Auditory Processing Disorder
Hasitha Wimalarathna, Sangamanatha Ankmnal-Veeranna, Chris Allan, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 200, pp. 105942-105942
Closed Access | Times Cited: 20
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
Explainable Artificial Intelligence for Digital Forensics: Opportunities, Challenges and a Drug Testing Case Study
Louise Kelly, Swati Sachan, Lei Ni, et al.
IntechOpen eBooks (2020)
Open Access | Times Cited: 20
Recognizing drowsiness in young men during real driving based on electroencephalography using an end-to-end deep learning approach
Jichi Chen, Shjie Wang, Enqiu He, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102792-102792
Closed Access | Times Cited: 16
Page 1 - Next Page

Scroll to top