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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:

Large language models in psychiatry: Opportunities and challenges
Sebastian Volkmer, Andreas Meyer‐Lindenberg, Emanuel Schwarz
Psychiatry Research (2024) Vol. 339, pp. 116026-116026
Closed Access | Times Cited: 11

Showing 11 citing articles:

Modelling the impact of environmental and social determinants on mental health using generative agents
Joseph Kambeitz, Andreas Meyer-Lindenberg
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Does the Digital Therapeutic Alliance Exist?: An Integrative Review (Preprint)
Amylie Malouin-Lachance, Julien Capolupo, Chloé Laplante, et al.
JMIR Mental Health (2025) Vol. 12, pp. e69294-e69294
Open Access | Times Cited: 1
Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review
Mehrdad Rahsepar Meadi, Tomas Sillekens, Suzanne Metselaar, et al.
JMIR Mental Health (2025) Vol. 12, pp. e60432-e60432
Open Access | Times Cited: 1
Fine-Tuning LLMs for Specialized Use Cases
D. M. Anisuzzaman, Jeffrey G. Malins, Paul A. Friedman, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 3, Iss. 1, pp. 100184-100184
Open Access | Times Cited: 7
Validating large language models against manual information extraction from case reports of drug-induced parkinsonism in patients with schizophrenia spectrum and mood disorders: a proof of concept study
Sebastian Volkmer, Abbe R. Gluck, Andreas Meyer‐Lindenberg, et al.
Schizophrenia (2025) Vol. 11, Iss. 1
Open Access
From statistics to deep learning: Using large language models in psychiatric research
Yining Hua, Andrew Beam, Lori B. Chibnik, et al.
International Journal of Methods in Psychiatric Research (2025) Vol. 34, Iss. 1
Open Access
Assessing the Accuracy of ChatGPT in Answering Questions About Prolonged Disorders of Consciousness
Sergio Bagnato, Cristina Boccagni, Jacopo Bonavita
Brain Sciences (2025) Vol. 15, Iss. 4, pp. 392-392
Open Access
Task-voting for schizophrenia spectrum disorders prediction using machine learning across linguistic feature domains
Rui He, Víctor Ortiz‐García de la Foz, Luis Manuel Fernández Cacho, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 2
Letter: Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations
Shuo Wang, Shotaro Kinoshita, H. Yokoyama
Neurosurgery (2024) Vol. 95, Iss. 5, pp. e151-e152
Closed Access | Times Cited: 1
Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework
Ying Chang, Jianming Yin, Jianmin Li, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 1
Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language
Sergei Koltcov, Anton Surkov, Olessia Koltsova, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2395-e2395
Open Access
Improving Psychiatry Services with Artificial Intelligence: Opportunities and Challenges
Hale Yapıcı Eser, M. Ballı, Ayşegül Albayrak Doğan
Turkish Journal of Psychiatry (2024)
Open Access
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