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:

Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data
Rosa Lundbye Allesøe, Wesley K. Thompson, Jonas Bybjerg‐Grauholm, et al.
JAMA Psychiatry (2022) Vol. 80, Iss. 2, pp. 146-146
Open Access | Times Cited: 23

Showing 23 citing articles:

The now and future of ChatGPT and GPT in psychiatry
Szu‐Wei Cheng, Chung‐Wen Chang, Wan‐Jung Chang, et al.
Psychiatry and Clinical Neurosciences (2023) Vol. 77, Iss. 11, pp. 592-596
Open Access | Times Cited: 106
Machine learning applied to prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review
Mobina Amanollahi, Melika Jameie, Mehdi Azizmohammad Looha, et al.
Journal of Affective Disorders (2024) Vol. 361, pp. 778-797
Closed Access | Times Cited: 6
Immune-based Machine learning prediction of diagnosis and illness state in schizophrenia and bipolar disorder
Katrien Skorobogatov, Livia De Picker, Ching‐Lien Wu, et al.
Brain Behavior and Immunity (2024) Vol. 122, pp. 422-432
Open Access | Times Cited: 6
Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning
Earvin S. Tio, Melissa Misztal, Daniel Felsky
Frontiers in Psychiatry (2024) Vol. 14
Open Access | Times Cited: 5
The importance of family-based sampling for biobanks
Neil M Davies, Gibran Hemani, Jenae M. Neiderhiser, et al.
Nature (2024) Vol. 634, Iss. 8035, pp. 795-803
Closed Access | Times Cited: 4
Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review
Yu Liu, Boyuan Wang
Frontiers in Public Health (2025) Vol. 13
Open Access
From data to diagnosis: A logical learning method to enhance interpretability in bipolar and major depressive disorder identification
Xingli Wu, Ting Zhu
European Journal of Operational Research (2025)
Closed Access
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Julia Cecil, Anne‐Kathrin Kleine, Eva Lermer, et al.
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access
War, emotions, mental health, and artificial intelligence
Krešimir Ćosić, Vanja Kopilaš, Tanja Jovanović
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 3
Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry
Amjad Rehman, Muhammad Mujahid, Tanzila Saba, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 1
Closed Access | Times Cited: 2
Artificial Intelligence and the Sense of Self of Older Adults: A Philosophy of Science Perspective
George S. Alexopoulos
American Journal of Geriatric Psychiatry (2024) Vol. 32, Iss. 6, pp. 657-662
Closed Access | Times Cited: 2
Predicting neurodevelopmental disorders using machine learning models and electronic health records – status of the field
Shyam Sundar Rajagopalan, Kristiina Tammimies
Journal of Neurodevelopmental Disorders (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Julia Cecil, Anne‐Kathrin Kleine, Eva Lermer, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
An Efficient Deep Learning Model Using Harris-Hawk Optimizer for Prognostication of Mental Health Disorders
Vandana, Shilpa Srivastava, Nidhi Arora, et al.
International Research Journal of Multidisciplinary Technovation (2024), pp. 106-123
Open Access | Times Cited: 1
Machine learning to predict distant metastasis and prognostic analysis of moderately differentiated gastric adenocarcinoma patients: a novel focus on lymph node indicators
Kangping Yang, Jiaqiang Wu, Tian Xu, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Acknowledging Lack of Inclusion in Genetic Analyses—Reply
Michael E. Benros, Rosa Lundbye Allesøe, Simon Rasmussen
JAMA Psychiatry (2023) Vol. 80, Iss. 6, pp. 647-647
Closed Access | Times Cited: 2
Acknowledging Lack of Inclusion in Genetic Analyses
Vani Pariyadath
JAMA Psychiatry (2023) Vol. 80, Iss. 6, pp. 647-647
Closed Access | Times Cited: 2
Deep Learning Approach for Predicting Psychodiagnosis
Samia Karoui Zouaoui, Khamari Chahinez
Acta Informatica Pragensia (2024) Vol. 13, Iss. 2, pp. 288-307
Open Access
Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions
Eduardo Maekawa, Esben Skov Jensen, Pepijn van de Ven, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access
Error in Wording in Methods Section
John C. Fortney
JAMA Psychiatry (2023) Vol. 80, Iss. 6, pp. 651-651
Open Access | Times Cited: 1
A Mental Health Performance Assessment using Support Vector Machine
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
(2023), pp. 1-7
Closed Access | Times Cited: 1
Addressing Equity, Diversity, and Inclusion in the Conduct and Reporting of Genetics Research
Kara Bagot, Döst Öngür
JAMA Psychiatry (2023) Vol. 80, Iss. 6, pp. 648-648
Open Access
Question-Based Computational Language Approach Outperforms Rating Scales in Quantifying Emotional States
Sverker Sikström, Ieva Valavičiūtė, Inari Kuusela, et al.
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top