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–based integration of genetics with registry data for stratification of schizophrenia and depression
Rosa Lundbye Allesøe, Ron Nudel, Wesley K. Thompson, et al.
Science Advances (2022) Vol. 8, Iss. 26
Open Access | Times Cited: 13
Rosa Lundbye Allesøe, Ron Nudel, Wesley K. Thompson, et al.
Science Advances (2022) Vol. 8, Iss. 26
Open Access | Times Cited: 13
Showing 13 citing articles:
Artificial intelligence in psychiatry research, diagnosis, and therapy
Jie Sun, Qunxi Dong, San-Wang Wang, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103705-103705
Closed Access | Times Cited: 72
Jie Sun, Qunxi Dong, San-Wang Wang, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103705-103705
Closed Access | Times Cited: 72
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 3, pp. 399-408
Open Access | Times Cited: 61
Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 3, pp. 399-408
Open Access | Times Cited: 61
Development and Validation of a Machine Learning–Based Model of Mortality Risk in First-Episode Psychosis
Johannes Lieslehto, Jari Tiihonen, Markku Lähteenvuo, et al.
JAMA Network Open (2024) Vol. 7, Iss. 3, pp. e240640-e240640
Open Access | Times Cited: 7
Johannes Lieslehto, Jari Tiihonen, Markku Lähteenvuo, et al.
JAMA Network Open (2024) Vol. 7, Iss. 3, pp. e240640-e240640
Open Access | Times Cited: 7
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
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
IUPHAR review: Drug Repurposing in Schizophrenia – An Updated Review of Clinical Trials
Jihan K. Zaki, Jakub Tomasik, Sabine Bahn
Pharmacological Research (2025), pp. 107633-107633
Open Access
Jihan K. Zaki, Jakub Tomasik, Sabine Bahn
Pharmacological Research (2025), pp. 107633-107633
Open Access
Role of different omics data in the diagnosis of schizophrenia disorder: A machine learning study
Aarthy Varathan, Suntharalingam Senthooran, Pratheeba Jeyananthan
Schizophrenia Research (2024) Vol. 271, pp. 38-46
Closed Access | Times Cited: 2
Aarthy Varathan, Suntharalingam Senthooran, Pratheeba Jeyananthan
Schizophrenia Research (2024) Vol. 271, pp. 38-46
Closed Access | Times Cited: 2
Whole Person Modeling: a transdisciplinary approach to mental health research
Daniel Felsky, Alyssa Cannitelli, Jon Pipitone
Discover Mental Health (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 6
Daniel Felsky, Alyssa Cannitelli, Jon Pipitone
Discover Mental Health (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 6
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
Shyam Sundar Rajagopalan, Kristiina Tammimies
Journal of Neurodevelopmental Disorders (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Rapid prediction of acute thrombosis via nanoengineered immunosensors with unsupervised clustering for multiple circulating biomarkers
Kaidong Wang, Shaolei Wang, Samuel Margolis, et al.
Science Advances (2024) Vol. 10, Iss. 50
Open Access | Times Cited: 1
Kaidong Wang, Shaolei Wang, Samuel Margolis, et al.
Science Advances (2024) Vol. 10, Iss. 50
Open Access | Times Cited: 1
Towards precision psychiatry utilizing large-scale multimodal data paving the way for improved prevention and treatment of mental disorders
Jonas Meisner, Simon Rasmussen, Michael E. Benros
Neuroscience Applied (2022) Vol. 2, pp. 101017-101017
Open Access | Times Cited: 3
Jonas Meisner, Simon Rasmussen, Michael E. Benros
Neuroscience Applied (2022) Vol. 2, pp. 101017-101017
Open Access | Times Cited: 3
Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: A Scoping Review (Preprint)
Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, et al.
(2024)
Open Access
Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, et al.
(2024)
Open Access
Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction
Daniel Martins, Maryam Abbasi, Conceição Egas, et al.
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2024) Vol. 21, Iss. 2
Open Access
Daniel Martins, Maryam Abbasi, Conceição Egas, et al.
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2024) Vol. 21, Iss. 2
Open Access
Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: A Scoping Review (Preprint)
Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, et al.
JMIR Bioinformatics and Biotechnology (2024) Vol. 5, pp. e62752-e62752
Open Access
Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, et al.
JMIR Bioinformatics and Biotechnology (2024) Vol. 5, pp. e62752-e62752
Open Access
