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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:

Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features
Byung-Hoon Kim, Min-Kyeong Kim, Hye-Jeong Jo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 2, pp. 100129-100129
Open Access | Times Cited: 4
Enhancing smart healthcare with female students’ stress and anxiety detection using machine learning
Farhad Hosseinzadeh Lotfı, Ahmad Lotfi, Masoud Lotfi, et al.
Psychology Health & Medicine (2025), pp. 1-20
Closed Access
Radiomics; A Potential Next “Omics” in Psychiatric Disorders; An Introduction
Mohammadreza Alizadeh, Manoj Tanwar, Amir Hossein Sarrami, et al.
Psychiatry Investigation (2023) Vol. 20, Iss. 7, pp. 583-592
Open Access | Times Cited: 6
Identification of Social Anxiety in High School: A Machine Learning Approaches to Real-Time Analysis of Student Characteristics
M. Abinaya, G. Vadivu
IEEE Access (2024) Vol. 12, pp. 77932-77946
Open Access | Times Cited: 1
Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic
Qingyuan Li, Xun Zhang, Xun Yang, et al.
Neurobiology of Stress (2023) Vol. 27, pp. 100578-100578
Open Access | Times Cited: 2
Functional connectivity strength and topology differences in social phobia adolescents with and without ADHD comorbidity
Brian Kim, Xin Niu, Fengqing Zhang
Neuropsychologia (2022) Vol. 178, pp. 108418-108418
Closed Access | Times Cited: 3
Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database
Peng Zhang, Jianing Zhang, Mingliang Wang, et al.
Frontiers in Behavioral Neuroscience (2024) Vol. 18
Open Access
Lifestyle factors and other predictors of common mental disorders in diagnostic machine learning studies: A systematic review
Emma Todd, Rebecca Orr, Elizabeth Gamage, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109521-109521
Open Access
Neuroanatomical prediction of individual anxiety problems level using machine learning models: a population-based cohort study of young adults
Hui Xu, Jing Xu, Li Y
Neurobiology of Stress (2024) Vol. 34, pp. 100705-100705
Open Access
Visualizing Functional Network Connectivity Differences Using an Explainable Machine-learning Method
Mohammad S.E. Sendi, Vaibhavi S. Itkyal, Sabrina J. Edwards-Swart, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Biomarkers in Anxiety Disorders
João Roberto Lisboa, José Diogo R. Souza, Felipe V. Gomes, et al.
Biomarkers in Neuropsychiatry (2023), pp. 233-265
Closed Access | Times Cited: 1
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