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:

Machine learning in mental health: a scoping review of methods and applications
Adrian Shatte, Delyse Hutchinson, Samantha Teague
Psychological Medicine (2019) Vol. 49, Iss. 09, pp. 1426-1448
Open Access | Times Cited: 689

Showing 1-25 of 689 citing articles:

The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality
John Torous, Sandra Bucci, Imogen Bell, et al.
World Psychiatry (2021) Vol. 20, Iss. 3, pp. 318-335
Open Access | Times Cited: 684

Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
Sarah Graham, Colin A. Depp, Ellen Lee, et al.
Current Psychiatry Reports (2019) Vol. 21, Iss. 11
Open Access | Times Cited: 598

Supervised Machine Learning: A Brief Primer
Tammy Jiang, Jaimie L. Gradus, Anthony J. Rosellini
Behavior Therapy (2020) Vol. 51, Iss. 5, pp. 675-687
Open Access | Times Cited: 506

Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice
John A. Naslund, Ameya Bondre, John Torous, et al.
Journal of Technology in Behavioral Science (2020) Vol. 5, Iss. 3, pp. 245-257
Open Access | Times Cited: 430

Machine Learning and Natural Language Processing in Mental Health: Systematic Review
Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, et al.
Journal of Medical Internet Research (2020) Vol. 23, Iss. 5, pp. e15708-e15708
Open Access | Times Cited: 358

Machine Learning in Mental Health
Anja Thieme, Danielle Belgrave, Gavin Doherty
ACM Transactions on Computer-Human Interaction (2020) Vol. 27, Iss. 5, pp. 1-53
Open Access | Times Cited: 289

Deep learning in mental health outcome research: a scoping review
Chang Su, Zhenxing Xu, Jyotishman Pathak, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 263

Illuminating the dark spaces of healthcare with ambient intelligence
Albert Haque, Arnold Milstein, Li Fei-Fei
Nature (2020) Vol. 585, Iss. 7824, pp. 193-202
Closed Access | Times Cited: 209

Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data
Isaac Moshe, Yannik Terhorst, Kennedy Opoku Asare, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 187

How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
Maia Jacobs, Melanie F. Pradier, Thomas H. McCoy, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 159

A scoping review of machine learning in psychotherapy research
Katie Aafjes‐van Doorn, Céline Kamsteeg, Jordan Bate, et al.
Psychotherapy Research (2020) Vol. 31, Iss. 1, pp. 92-116
Closed Access | Times Cited: 150

Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process
Wei Feng, Nicholas Van Halm‐Lutterodt, Hao Tang, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 06, pp. 2050032-2050032
Closed Access | Times Cited: 149

Digital Mental Health for Young People: A Scoping Review of Ethical Promises and Challenges
Blanche Wies, Constantin Landers, Marcello Ienca
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 137

From promise to practice: towards the realisation of AI-informed mental health care
Nikolaos Koutsouleris, Tobias U. Hauser, Vasilisa Skvortsova, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 11, pp. e829-e840
Open Access | Times Cited: 128

Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent?
Jana Sedláková, Manuel Trachsel
The American Journal of Bioethics (2022) Vol. 23, Iss. 5, pp. 4-13
Open Access | Times Cited: 118

Machine Learning for Mental Health in Social Media: Bibliometric Study
Jina Kim, Daeun Lee, Eunil Park
Journal of Medical Internet Research (2021) Vol. 23, Iss. 3, pp. e24870-e24870
Open Access | Times Cited: 108

A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Adela C. Timmons, Jacqueline B. Duong, Natalia Simo Fiallo, et al.
Perspectives on Psychological Science (2022) Vol. 18, Iss. 5, pp. 1062-1096
Open Access | Times Cited: 91

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: 86

Artificial intelligence and Psychiatry: An overview
Adwitiya Ray, Akansha Bhardwaj, Yogender Kumar Malik, et al.
Asian Journal of Psychiatry (2022) Vol. 70, pp. 103021-103021
Open Access | Times Cited: 79

Artificial intelligence in psychiatry research, diagnosis, and therapy
Jie Sun, Qunxi Dong, San-Wang Wang, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103705-103705
Closed Access | Times Cited: 72

Global Mental Health Services and the Impact of Artificial Intelligence–Powered Large Language Models
Alastair C. van Heerden, Julia Ruiz Pozuelo, Brandon A. Kohrt
JAMA Psychiatry (2023) Vol. 80, Iss. 7, pp. 662-662
Closed Access | Times Cited: 42

Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review
Angel Olider Rojas Vistorte, Ángel Deroncele-Acosta, Juan Luis Martín Ayala, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 26

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: 19

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health
Leonard Bickman
Administration and Policy in Mental Health and Mental Health Services Research (2020) Vol. 47, Iss. 5, pp. 795-843
Open Access | Times Cited: 137

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