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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:

Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures
Chella Kamarajan, Babak A. Ardekani, Ashwini K. Pandey, et al.
Brain Sciences (2020) Vol. 10, Iss. 2, pp. 115-115
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

How machine learning is used to study addiction in digital healthcare: A systematic review
Bijoy Chhetri, Lalit Mohan Goyal, Mamta Mittal
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100175-100175
Open Access | Times Cited: 23
Deep Neural Network and Time Series Approach for Finance Systems
Praveen Ranjan Srivastava, Zuopeng Zhang, Prajwal Eachempati
Journal of Organizational and End User Computing (2021) Vol. 33, Iss. 5, pp. 204-226
Open Access | Times Cited: 43
The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data
Peishan Dai, Tong Xiong, Xiaoyan Zhou, et al.
Behavioural Brain Research (2022) Vol. 435, pp. 114058-114058
Closed Access | Times Cited: 19
Exploring the Association Between Caregiving Activities and Neuropsychological Disorders
Usharani Bhimavarapu
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 433-458
Closed Access
Relating Functional Connectivity and Alcohol Use Disorder: A Systematic Review and Derivation of Relevance Maps for Regions and Connections
Marco Bottino, Natálie Bocková, Nico W. Poller, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 2
Open Access
Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures
Chella Kamarajan, Babak A. Ardekani, Ashwini K. Pandey, et al.
Behavioral Sciences (2020) Vol. 10, Iss. 3, pp. 62-62
Open Access | Times Cited: 29
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
Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach
N. Simos, Stavros I. Dimitriadis, Eleftherios Kavroulakis, et al.
Brain Sciences (2020) Vol. 10, Iss. 11, pp. 777-777
Open Access | Times Cited: 22
Identifying alcohol misuse biotypes from neural connectivity markers and concurrent genetic associations
Tan Zhu, Chloe Becquey, Yu Chen, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Differentiating Individuals with and without Alcohol Use Disorder Using Resting-State fMRI Functional Connectivity of Reward Network, Neuropsychological Performance, and Impulsivity Measures
Chella Kamarajan, Babak A. Ardekani, Ashwini K. Pandey, et al.
Behavioral Sciences (2022) Vol. 12, Iss. 5, pp. 128-128
Open Access | Times Cited: 10
Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders
Tan Zhu, Wuyi Wang, Yu Chen, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2023) Vol. 9, Iss. 3, pp. 326-336
Closed Access | Times Cited: 5
Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Machine Learning Based Classification of Excessive Smartphone Users via Neuronal Cue Reactivity
Jailan Oweda, Mike M. Schmitgen, Gudrun M. Henemann, et al.
Psychiatry Research Neuroimaging (2024), pp. 111903-111903
Open Access | Times Cited: 1
Identifying Alcohol Use Disorder With Resting State Functional Magnetic Resonance Imaging Data: A Comparison Among Machine Learning Classifiers
Victor M. Vergara, Flor A. Espinoza, Vince D. Calhoun
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 7
Brain activation to cannabis- and alcohol-related words in alcohol use disorder
Eva M. Müller‐Oehring, Anne‐Pascale Le Berre, Matthew R. Serventi, et al.
Psychiatry Research Neuroimaging (2019) Vol. 294, pp. 111005-111005
Open Access | Times Cited: 10
Common and distinct neural connectivity in attention‐deficit/hyperactivity disorder and alcohol use disorder studied using resting‐state functional magnetic resonance imaging
Àlvar Farré‐Colomés, Sarah Gerhardt, Mathias Luderer, et al.
Alcoholism Clinical and Experimental Research (2021) Vol. 45, Iss. 5, pp. 948-960
Open Access | Times Cited: 9
A Siamese Network With Node Convolution for Individualized Predictions Based on Connectivity Maps Extracted From Resting-State fMRI Data
Le Xu, Hao Ma, Yun Guan, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5418-5429
Closed Access | Times Cited: 3
Differential effects of alcohol‐drinking patterns on the structure and function of the brain and cognitive performance in young adult drinkers: A pilot study
Xiaobing Guo, Tong-jun Yan, Min Chen, et al.
Brain and Behavior (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 8
EASY ENSEMMBLE WITH RANDOM FOREST TO HANDLE IMBALANCED DATA IN CLASSIFICATION
Sarini Abdullah, GV Prasetyo
Journal of Fundamental Mathematics and Applications (JFMA) (2020) Vol. 3, Iss. 1, pp. 39-46
Open Access | Times Cited: 7
Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features
Chella Kamarajan, Ashwini K. Pandey, David B. Chorlian, et al.
Behavioral Sciences (2023) Vol. 13, Iss. 5, pp. 427-427
Open Access | Times Cited: 2
Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder
Nidal Moukaddam, Bishal Lamichhane, Ramiro Salas, et al.
Behavioural Neurology (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 2
Machine Learning Applications and Advancements in Alcohol Use Disorder: A Systematic Review
Myrna Hurtado, Anna Siefkas, Misty M. Attwood, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Alcohol Use Disorder and Its Comorbidity With HIV Infection Disrupts Anterior Cingulate Cortex Functional Connectivity
Nicolas Honnorat, Rosemary Fama, Eva M Müller-Oehring, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2020) Vol. 7, Iss. 11, pp. 1127-1136
Open Access | Times Cited: 4
Statistical Nonparametric fMRI Maps in the Analysis of Response Inhibition in Abstinent Individuals with History of Alcohol Use Disorder
Ashwini K. Pandey, Babak A. Ardekani, Kelly N. Byrne, et al.
Behavioral Sciences (2022) Vol. 12, Iss. 5, pp. 121-121
Open Access | Times Cited: 3
Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification
Wenhan Wang, Youyong Kong, Zhenghua Hou, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 1486-1490
Closed Access | Times Cited: 3
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