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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 Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach
W. Andrew Rothenberg, Andrea Bizzego, Gianluca Esposito, et al.
Journal of Youth and Adolescence (2023) Vol. 52, Iss. 8, pp. 1595-1619
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Environmental and neurodevelopmental contributors to youth mental illness
Sarah Whittle, Lu Zhang, Divyangana Rakesh
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 201-210
Open Access | Times Cited: 5
Disconnected Connections: The Impact of Technoference on Adolescent Emotions and Behavior
Tayyaba Ali, Sidra Iqbal
Informatics in Medicine Unlocked (2025), pp. 101621-101621
Open Access
Psychometric properties of the parent and adult versions of Parental Acceptance-Rejection Questionnaire/Control (PARQ/Control): short form in the Iranian population
Fatemeh Haji Agha Bozorgi, F Esmaili, Hojjatollah Farahani, et al.
Current Psychology (2025)
Closed Access
Exploring the Validity of Adolescent Responses to a Measure of Psychological Flexibility and Inflexibility
Caleb D. Farley, Tyler L. Renshaw
Behavioral Sciences (2025) Vol. 15, Iss. 2, pp. 197-197
Open Access
Longitudinal analysis of adolescents at high risk of depression: Prediction models
Jisu Park, Eun Kyoung Choi, Mona Choi
Applied Nursing Research (2025) Vol. 82, pp. 151927-151927
Closed Access
Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm
Yao Gan, Li Kuang, Xiao–Ming Xu, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access
Early social interactions and young school‐aged children's behavioral problems: Converging evidence from theory‐ and data‐driven approaches
Jiahao Liang, Yiji Wang
Journal of Child Psychology and Psychiatry (2025)
Closed Access
Application of machine learning in predicting adolescent Internet behavioral addiction
Yao Gan, Li Kuang, Xiao–Ming Xu, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access
Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms
E. F. Haghish, Ragnhild Bang Nes, Milan Obaidi, et al.
Journal of Youth and Adolescence (2023) Vol. 53, Iss. 3, pp. 507-525
Open Access | Times Cited: 10
The Dynamic Interplay Between Puberty and Structural Brain Development as a Predictor of Mental Health Difficulties in Adolescence: A Systematic Review
Svenja Kretzer, Andrew J. Lawrence, Rebecca Pollard, et al.
Biological Psychiatry (2024) Vol. 96, Iss. 7, pp. 585-603
Closed Access | Times Cited: 2
Brain network connectivity during peer evaluation in adolescent females: Associations with age, pubertal hormones, timing, and status
Andrea Pelletier-Baldelli, Margaret A. Sheridan, Marc D. Rudolph, et al.
Developmental Cognitive Neuroscience (2024) Vol. 66, pp. 101357-101357
Open Access | Times Cited: 1
Cultural influences
Zeyi Shi, Tianying Cai, Bin‐Bin Chen, et al.
Elsevier eBooks (2024), pp. 60-77
Closed Access | Times Cited: 1
Does Grit Compensate for Family Background Disadvantage in Predicting Mental Health Difficulties? A Longitudinal Study of Chinese Migrant and Urban Children
Xinmei Gong, Chen Chen, Xin Tong
Journal of Youth and Adolescence (2024) Vol. 53, Iss. 6, pp. 1480-1497
Closed Access | Times Cited: 1
Environmental and neurodevelopmental contributors to youth mental illness
Sarah Whittle, Lu Zhang, Divyangana Rakesh
(2024)
Open Access | Times Cited: 1
A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services
Kaban Koochakpour, Øystein Nytrø, Bennett Leventhal, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105479-105479
Open Access | Times Cited: 1
Effects of individual research practices on fNIRS signal quality and latent characteristics
Andrea Bizzego, Alessandro Carollo, Mengyu Lim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 3515-3521
Open Access | Times Cited: 1
Many-Dimensional Model of Adolescent School Enjoyment: A Test Using Machine Learning from Behavioral and Social-Emotional Problems
Farhan Ali, Rebecca P. Ang
Education Sciences (2023) Vol. 13, Iss. 11, pp. 1103-1103
Open Access | Times Cited: 2
A panel network approach of internalizing and externalizing problems in early childhood: Evidence from American and Chinese preschoolers
Hongting Chen, Yiji Wang
Development and Psychopathology (2024), pp. 1-11
Open Access
Exploring occupational well‐being profiles, outcomes, and predictors among Chinese teachers: A mixed‐methods approach using latent profile and decision tree analysis
Xin Gao, Xiaolu Zhou, Frederick T. L. Leong
Applied Psychology Health and Well-Being (2024) Vol. 17, Iss. 1
Closed Access
Linking Mental Health Incidents with External Variables: A Machine Learning Study
Carlos Rosa-Remedios, Noemi Gonzalez-Quintana, Jezabel Molina‐Gil, et al.
Lecture notes in networks and systems (2024), pp. 381-392
Closed Access
Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks
Jianhong Liu, D. Li
Asian Journal of Criminology (2024) Vol. 19, Iss. 2, pp. 143-159
Closed Access
Psychosocial Risk Factors Associated with Internalising Problems Among Singapore Youth: A Review of the Literature
Jacqueline L. Tilley, Kristy J. J. Lee, Nicholas Wei Kiat Seet
Empowering teaching and learning through policies and practice (2024), pp. 33-46
Closed Access
Predicting adolescent psychopathology from early life factors: A machine learning tutorial
Faizaan Siddique, Brian K. Lee
Global Epidemiology (2024) Vol. 8, pp. 100161-100161
Open Access
Enhanced mental health prediction with deep neural networks for accurate diagnosis
Ananya Madhuri Takkellapati, Mounika Valamala, Archana Kattepogu, et al.
i-manager s Journal on Artificial Intelligence & Machine Learning (2024) Vol. 2, Iss. 2, pp. 49-49
Closed Access
Lore Vankerckhoven Receives Emerging Scholar Best Article Award, 2024
Roger J. R. Levesque
Journal of Youth and Adolescence (2024)
Closed Access
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