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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:

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review
Oliver Higgins, Brooke Short, Stephan K. Chalup, et al.
International Journal of Mental Health Nursing (2023) Vol. 32, Iss. 4, pp. 966-978
Open Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Large language models outperform general practitioners in identifying complex cases of childhood anxiety
Inbar Levkovich, Eyal Rabin, Michal Brann, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Application of Machine Learning in Healthcare and Medicine: A Review
Furizal Furizal, Alfian Ma’arif, Dianda Rifaldi
Journal of Robotics and Control (JRC) (2023) Vol. 4, Iss. 5, pp. 621-631
Open Access | Times Cited: 6
Leisure Time Prediction and Influencing Factors Analysis Based on LightGBM and SHAP
Qiyan Wang, Yuanyuan Jiang
Mathematics (2023) Vol. 11, Iss. 10, pp. 2371-2371
Open Access | Times Cited: 5
A comprehensive evaluation of digital mental health literature: an integrative review and bibliometric analysis
Hale Alan
Behaviour and Information Technology (2024), pp. 1-23
Closed Access | Times Cited: 1
Artificial Intelligence Models to Predict Disability for Mental Health Disorders
Hasan Alkahtani, Theyazn H. H. Aldhyani, Ahmed Abdullah Alqarni
Deleted Journal (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 1
Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions
Catherine Diaz‐Asper, Chelsea Chandler, Brita Elvevåg
Journal of Alzheimer s Disease (2024) Vol. 99, Iss. 3, pp. 869-876
Closed Access | Times Cited: 1
Deep learning approaches for recognizing facial emotions on autistic patients
Fatima Ezzahrae El Rhatassi, Btihal El Ghali, Najima Daoudi
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4034-4034
Open Access | Times Cited: 1
Beyond the Hype
Adan Khan, Venus Oseyi Omokhoa, Safa Inaya Afzal
Advances in medical technologies and clinical practice book series (2024), pp. 1-22
Closed Access | Times Cited: 1
Sociodemographic Factors and Presentation Features of Individuals Seeking Mental Health Care in Emergency Departments: A Retrospective Cohort Study
Oliver Higgins, Rachel Sheather-Reid, Stephan K. Chalup, et al.
International Journal of Mental Health Nursing (2024)
Open Access | Times Cited: 1
Commercial determinants and therapeutic chatbots: A mental health nursing perspective
Oliver Higgins, Rhonda Wilson
International Journal of Mental Health Nursing (2023) Vol. 32, Iss. 6, pp. 1509-1511
Open Access | Times Cited: 3
Relationships
Giovanni Rubeis
˜The œInternational library of ethics, law and technology (2024), pp. 151-212
Closed Access
Designing (with) AI for Wellbeing
Dimitra Dritsa, Loes van Renswouw, Sara Colombo, et al.
(2024), pp. 1-7
Open Access
Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare
Adriane Chapman, Chloe L Harrison, Caroline Jones, et al.
(2024), pp. 1158-1161
Open Access
Public perspectives on AI diagnosis of mental illness
Cliódhna O’Connor
General Psychiatry (2024) Vol. 37, Iss. 3, pp. e101370-e101370
Open Access
The use of artificial intelligence in mental health services to support decision-making: Scoping review (Preprint)
Hassan Auf, Petra Svedberg, Jens M. Nygren, et al.
(2024)
Closed Access
Governance of AI
Tshilidzi Marwala
Elsevier eBooks (2024), pp. 279-290
Closed Access
Mental Health Prediction Using Artificial Intelligence
Mrinmayee Deshpande, Pradnya Mehta, Nilesh Sable, et al.
Lecture notes in networks and systems (2024), pp. 45-57
Closed Access
Chatbot-Based Interventions for Mental Health Support
Yiyi Wang, Norman A. S. Farb
(2024)
Open Access
Optimizing Mental Health Prediction by Fine-Tuning Decision Classifier Parameters for Enhanced Accuracy
Pratham Kaushik, Eshika Jain, Kanwarpartap Singh Gill, et al.
(2024), pp. 935-939
Closed Access
The Incommensurability of Caring: ML, Clinical Decision-Making, and Human Reasoning in Healthcare
Ramón Alvarado, Nicolae Morar
The American Journal of Bioethics (2024) Vol. 24, Iss. 9, pp. 113-115
Closed Access
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning
Won Hoon Song, Meeyoung Park
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. S2
Open Access
PSYCHOLOGY AND ARTIFICIAL INTELLIGENCE: IMPLICATIONS FOR HUMAN-COMPUTER INTERACTION AND MENTAL HEALTH SUPPORT
A.S. Gabdrakhman
BULLETIN Series Psychology (2024) Vol. 80, Iss. 3, pp. 30-42
Closed Access
Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews
Yingzhuo Ma, Yi Zeng, Tong Liu, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access
Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departments
Oliver Higgins, Rhonda Wilson, Stephan K. Chalup
Digital Health (2024) Vol. 10
Open Access
Focused review on artificial intelligence for disease detection in infants
Katrin D. Bartl-Pokorny, Claudia Zitta, Markus Beirit, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access

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