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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:

Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Modern Methods of Diagnostics and Treatment of Neurodegenerative Diseases and Depression
Natalia Shusharina, Denis Yukhnenko, Stepan Botman, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 55
Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study
Zohar Elyoseph, Elad Refoua, Kfir Asraf, et al.
JMIR Mental Health (2023) Vol. 11, pp. e54369-e54369
Open Access | Times Cited: 51
The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review
Fabeha Zafar, Laraib Fakhare Alam, Rafael R Vivas, et al.
Cureus (2024)
Open Access | Times Cited: 18
Identification of four biotypes in temporal lobe epilepsy via machine learning on brain images
Yuchao Jiang, Wei Li, Jinmei Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Old dog, new tricks? Exploring the potential functionalities of ChatGPT in supporting educational methods in social psychiatry
Alexander Smith, Stefanie Hachen, Roman Schleifer, et al.
International Journal of Social Psychiatry (2023) Vol. 69, Iss. 8, pp. 1882-1889
Closed Access | Times Cited: 35
Innovative deep learning techniques for monitoring aggressive behavior in social media posts
Huimin Han, Muhammad Asif, Emad Mahrous Awwad, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
Masaru Tanaka
Biomedicines (2025) Vol. 13, Iss. 1, pp. 167-167
Open Access | Times Cited: 1
Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms
Thalia Richter, Reut Shani, Shachaf Tal, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Framework for detecting, assessing and mitigating mental health issue in the context of online social networks: a viewpoint paper
Polina Roggendorf, А А Волков
International Journal of Health Governance (2025)
Closed Access | Times Cited: 1
Current methods in explainable artificial intelligence and future prospects for integrative physiology
Bettina Finzel
Pflügers Archiv - European Journal of Physiology (2025)
Open Access | Times Cited: 1
Individualized fMRI connectivity defines signatures of antidepressant and placebo responses in major depression
Kanhao Zhao, Hua Xie, Gregory A. Fonzo, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 6, pp. 2490-2499
Open Access | Times Cited: 21
Individual deviations from normative electroencephalographic connectivity predict antidepressant response
Xiaoyu Tong, Hua Xie, Wei Wu, et al.
Journal of Affective Disorders (2024) Vol. 351, pp. 220-230
Open Access | Times Cited: 7
An advanced Artificial Intelligence platform for a personalised treatment of Eating Disorders
Francesco Monaco, Annarita Vignapiano, Martina Piacente, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 6
Validating the efficacy and value proposition of mental fitness vocal biomarkers in a psychiatric population: prospective cohort study
Erik Larsen, Olivia Murton, Xinyu Song, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 5
AI-Enhanced Neurophysiological Assessment
Deepak Kumar, Punet Kumar, Sushma Pal, et al.
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 33-64
Closed Access
Resolving heterogeneity of early-onset major depressive disorder through individual differential structural covariance network analysis
Zhanjie Luo, Zhibo Hu, Weicheng Li, et al.
Journal of Affective Disorders (2025)
Closed Access
Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning
Damir Mulc, Jakša Vukojević, Eda Jovičić, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 409-409
Open Access
Voice and chatbot: A hybrid framework using XAI for improving mental health
Debmitra Ghosh, Sayani Ghatak, Hrithik Paul
Elsevier eBooks (2025), pp. 179-205
Closed Access
Editorial: National Trends in Child Mental Health Disorders Signal Opportunities and Challenges for Precision Child Psychiatry
Bonnie T. Zima, Juliet Beni Edgcomb
Journal of the American Academy of Child & Adolescent Psychiatry (2025)
Closed Access
Prospects for the Use of Machine Learning for Mood Disorders
Ekaterina Mosolova, A. Е. Alfimov, E G Kostyukova, et al.
Digital Diagnostics (2025)
Open Access
The NIMH Research Domain Criteria Project
Bruce N. Cuthbert
Oxford University Press eBooks (2025), pp. 945-956
Closed Access
Unveiling the impact of dataset size on machine learning models for anxiety and depression prediction amid the COVID-19 pandemic: determining optimal data collection thresholds
Priyanka Arora, Sonika Dahiya
Current Psychology (2025)
Closed Access
Advancing transdiagnostic data analytics using knowledge graphs
Fiona Klaassen, Emanuel Schwarz
Biomarkers in Neuropsychiatry (2025) Vol. 12, pp. 100122-100122
Open Access
Forecasting mental states in schizophrenia using digital phenotyping data
Thierry Jean, Rose Guay Hottin, Pierre Orban
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000734-e0000734
Open Access
Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review
Simon Woll, Dennis Birkenmaier, Gergely Biri, et al.
JMIR mhealth and uhealth (2025) Vol. 13, pp. e59660-e59660
Open Access
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