Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 591

Showing 26-50 of 591 citing articles:

Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight
Ahmed M. Alhuwaydi
Risk Management and Healthcare Policy (2024) Vol. Volume 17, pp. 1339-1348
Open Access | Times Cited: 24
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: 24
Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 348-348
Open Access | Times Cited: 21
Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact
Hamid Reza Saeidnia, Seyed Ghasem Hashemi Fotami, Brady Lund, et al.
Social Sciences (2024) Vol. 13, Iss. 7, pp. 381-381
Open Access | Times Cited: 19
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
Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Alessandro Pigoni, Giuseppe Delvecchio, Nunzio Turtulici, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Current Practices and Perspectives of Artificial Intelligence in the Clinical Management of Eating Disorders: Insights From Clinicians and Community Participants
Jake Linardon, Claudia Liu, Mariel Messer, et al.
International Journal of Eating Disorders (2025)
Open Access | Times Cited: 5
Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review
Sarah Graham, Ellen Lee, Dilip V. Jeste, et al.
Psychiatry Research (2019) Vol. 284, pp. 112732-112732
Open Access | Times Cited: 140
Digital Mental Health Challenges and the Horizon Ahead for Solutions
Luke Balcombe, Diego De Leo
JMIR Mental Health (2021) Vol. 8, Iss. 3, pp. e26811-e26811
Open Access | Times Cited: 102
Predicting women with depressive symptoms postpartum with machine learning methods
Sam Andersson, Deepti R. Bathula, Stavros I. Iliadis, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 87
Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers
Krešimir Ćosić, Siniša Popović, Marko Šarlija, et al.
Croatian Medical Journal (2020) Vol. 61, Iss. 3, pp. 279-288
Open Access | Times Cited: 72
Detection of child depression using machine learning methods
Umme Marzia Haque, Enamul Kabir, Rasheda Khanam
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0261131-e0261131
Open Access | Times Cited: 66
Translating promise into practice: a review of machine learning in suicide research and prevention
Olivia J Kirtley, Kasper van Mens, Mark Hoogendoorn, et al.
The Lancet Psychiatry (2022) Vol. 9, Iss. 3, pp. 243-252
Open Access | Times Cited: 58
Human-Computer Interaction in Digital Mental Health
Luke Balcombe, Diego De Leo
Informatics (2022) Vol. 9, Iss. 1, pp. 14-14
Open Access | Times Cited: 57
Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review
Victoria Welch, Tom Joshua Wy, Anna N. Ligezka, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 3, pp. e33560-e33560
Open Access | Times Cited: 56
Australia in 2030: what is our path to health for all?
Kathryn Backholer, Fran Baum, Summer May Finlay, et al.
The Medical Journal of Australia (2021) Vol. 214, Iss. S8
Open Access | Times Cited: 55
Artificial intelligence and suicide prevention: A systematic review
Alban Lejeune, Aziliz Le Glaz, Pierre-Antoine Perron, et al.
European Psychiatry (2022) Vol. 65, Iss. 1
Open Access | Times Cited: 53
Application of Artificial Intelligence on Psychological Interventions and Diagnosis: An Overview
Sijia Zhou, Jingping Zhao, Lulu Zhang
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 52
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, et al.
Information Fusion (2022) Vol. 92, pp. 231-246
Open Access | Times Cited: 52
Predicting Mental Health Illness using Machine Learning Algorithms
K Vaishnavi, Ullas Kamath, B. Ashwath Rao, et al.
Journal of Physics Conference Series (2022) Vol. 2161, Iss. 1, pp. 012021-012021
Open Access | Times Cited: 50
Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)
Petar Radanliev, David De Roure
Health and Technology (2022) Vol. 12, Iss. 5, pp. 923-929
Open Access | Times Cited: 49
Deep learning techniques for suicide and depression detection from online social media: A scoping review
Anshu Malhotra, Rajni Jindal
Applied Soft Computing (2022) Vol. 130, pp. 109713-109713
Closed Access | Times Cited: 47
A scoping review on monitoring mental health using smart wearable devices
Nannan Long, Yongxiang Lei, Lianhua Peng, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7899-7919
Open Access | Times Cited: 46
Evidence, ethics and the promise of artificial intelligence in psychiatry
Melissa D. McCradden, Katrina Hui, Daniel Z. Buchman
Journal of Medical Ethics (2022) Vol. 49, Iss. 8, pp. 573-579
Open Access | Times Cited: 46
Machine learning-based proactive social-sensor service for mental health monitoring using twitter data
Shailesh Hinduja, Mahbuba Afrin, Sajib Mistry, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100113-100113
Open Access | Times Cited: 43

Scroll to top