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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:

Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness
Chelsea Chandler, Peter W. Foltz, Brita Elvevåg
Schizophrenia Bulletin (2019)
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

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: 84
An AI-based Decision Support System for Predicting Mental Health Disorders
Salih Tutun, Marina Johnson, Abdulaziz Ahmed, et al.
Information Systems Frontiers (2022) Vol. 25, Iss. 3, pp. 1261-1276
Open Access | Times Cited: 79
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
How to do things with (thousands of) words: Computational approaches to discourse analysis in Alzheimer's disease
Natasha Clarke, Peter W. Foltz, Peter Garrard
Cortex (2020) Vol. 129, pp. 446-463
Open Access | Times Cited: 56
Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers
Krešimir Ćosić, Siniša Popović, Brenda K. Wiederhold
Cyberpsychology Behavior and Social Networking (2024) Vol. 27, Iss. 8, pp. 588-598
Closed Access | Times Cited: 7
Applying speech technologies to assess verbal memory in patients with serious mental illness
Terje B. Holmlund, Chelsea Chandler, Peter W. Foltz, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 40
Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation
Alex S. Cohen, Zachary Rodriguez, Kiara K. Warren, et al.
Schizophrenia Bulletin (2022) Vol. 48, Iss. 5, pp. 939-948
Open Access | Times Cited: 25
Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment
Oscar Kjell, Katarina Kjell, H. Andrew Schwartz
Psychiatry Research (2023) Vol. 333, pp. 115667-115667
Open Access | Times Cited: 16
Explainable multimodal prediction of treatment-resistance in patients with depression leveraging brain morphometry and natural language processing
Dong Yun Lee, Narae Kim, ChulHyoung Park, et al.
Psychiatry Research (2024) Vol. 334, pp. 115817-115817
Open Access | Times Cited: 5
Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning
Robin Quillivic, Frédérique Gayraud, Yann Auxéméry, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Listening Like a Computer: Attentional Tensions and Mechanized Care in Psychiatric Digital Phenotyping
Beth Michelle. Semel
Science Technology & Human Values (2021) Vol. 47, Iss. 2, pp. 266-290
Closed Access | Times Cited: 29
Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 27
Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare
Anish Bhardwaj
Journal of Healthcare Leadership (2022) Vol. Volume 14, pp. 113-118
Open Access | Times Cited: 21
Beyond Rating Scales: With Targeted Evaluation, Language Models are Poised for Psychological Assessment
Oscar Kjell, Katarina Kjell, H. Andrew Schwartz
(2023)
Open Access | Times Cited: 12
A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine
Raquel González-Alday, Esteban García-Cuesta, Casimir A. Kulikowski, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10778-10778
Open Access | Times Cited: 12
Ethics in digital phenotyping: considerations regarding Alzheimer’s disease, speech and artificial intelligence
Francesca Dino, Peter Pressman, Kevin Bretonnel Cohen, et al.
Journal of Medical Ethics (2025), pp. jme-110252
Closed Access
Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies
Chelsea Chandler, Peter W. Foltz, Brita Elvevåg
Schizophrenia Bulletin (2022) Vol. 48, Iss. 5, pp. 949-957
Open Access | Times Cited: 18
Semantic and Acoustic Markers in Schizophrenia-Spectrum Disorders: A Combinatory Machine Learning Approach
Alban Voppel, Janna N. de Boer, Sanne Brederoo, et al.
Schizophrenia Bulletin (2022) Vol. 49, Iss. Supplement_2, pp. S163-S171
Open Access | Times Cited: 18
Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function
Peter W. Foltz, Chelsea Chandler, Catherine Diaz‐Asper, et al.
Schizophrenia Research (2022) Vol. 259, pp. 127-139
Open Access | Times Cited: 17
Artificial intelligence in mental healthcare: an overview and future perspectives
Kevin W. Jin, Qiwei Li, Yang Xie, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 10
Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry
Vincent Martin, Jean-Luc Rouas
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 10606-10610
Open Access | Times Cited: 3
Power and reproducibility in the external validation of brain-phenotype predictions
Matthew Rosenblatt, Link Tejavibulya, Huili Sun, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 10, pp. 2018-2033
Closed Access | Times Cited: 3
Generalisable machine learning models trained on heart rate variability data to predict mental fatigue
András Matuz, Dimitri van der Linden, Gergely Darnai, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Machine learning for ambulatory applications of neuropsychological testing
Chelsea Chandler, Peter W. Foltz, Alex S. Cohen, et al.
Intelligence-Based Medicine (2020) Vol. 1-2, pp. 100006-100006
Open Access | Times Cited: 23
Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access
Glorianna Jagfeld, Fiona Lobban, Paul Rayson, et al.
(2021)
Open Access | Times Cited: 20
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