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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:

Machine learning for genetic prediction of psychiatric disorders: a systematic review
Matthew Bracher‐Smith, Karen Crawford, Valentina Escott‐Price
Molecular Psychiatry (2020) Vol. 26, Iss. 1, pp. 70-79
Open Access | Times Cited: 118

Showing 76-100 of 118 citing articles:

Systematic Reviews of Machine Learning in Healthcare: A Literature Review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Trends and features of autism spectrum disorder research using artificial intelligence techniques: a bibliometric approach
Ibrahim Zamit, Ibrahim Hussein Musa, Limin Jiang, et al.
Current Psychology (2022) Vol. 42, Iss. 35, pp. 31317-31332
Closed Access | Times Cited: 4
Perspective on Beyond Statistical Significance: Finding Meaningful Effects
Howard J. Edenberg
Complex Psychiatry (2021) Vol. 7, Iss. 1-2, pp. 1-8
Open Access | Times Cited: 5
Ancestry May Confound Genetic Machine Learning: Candidate-Gene Prediction of Opioid Use Disorder as an Example
Alexander S. Hatoum, Frank R. Wendt, Marco Galimberti, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
A Post-Structural Feminist Analysis of Eating Disorders Intervention Research
Amina Hussain, Mishal Dar, Kyle T. Ganson
Affilia (2021) Vol. 37, Iss. 3, pp. 505-519
Closed Access | Times Cited: 5
Genetic Data Can Lead to Medical Discrimination: Opioid Use Disorder as a Cautionary Tale
Alexander S. Hatoum, Frank R. Wendt, Marco Galimberti, et al.
(2020)
Open Access | Times Cited: 4
Statistical and Machine Learning Analysis in Brain-Imaging Genetics: A Review of Methods
Connor Cheek, Peggy Lindner, Elena L. Grigorenko
Behavior Genetics (2024) Vol. 54, Iss. 3, pp. 233-251
Closed Access
Identifying patients in need of psychological treatment with language representation models
İrfan Aygün, Buket Kaya, Mehmet Kaya
Multimedia Tools and Applications (2024)
Open Access
Temporal Patterns of EEG Connectivity Unveil Parkinson's Disease Progression: Insights from Machine Learning Analysis
Caroline L. Alves, Loriz Francisco Sallum, Francisco A. Rodrigues, et al.
Research Square (Research Square) (2024)
Open Access
Machine Learning for Prediction of Childhood Mental Health Problems in Social Care
Ryan Crowley, Katherine Parkin, Emma Rocheteau, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: A Scoping Review (Preprint)
Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, et al.
(2024)
Open Access
Quantifying brain-functional dynamics using deep dynamical systems: Technical considerations
Jiarui Chen, Anastasia Benedyk, Alexander Moldavski, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110545-110545
Open Access
Optimizing Leukemia Classification Through Nature-Inspired Feature Reduction and Stacked Ensemble Learning Algorithms
Saumendra Kumar Mohapatra, Sharmila K.P., Mihir Narayan Mohanty
(2024), pp. 1-6
Closed Access
Effect of Polygenic Scores on the Relationship Between Psychosis and Cognitive Performance
Lauren Varney, Krisztina Jedlovszky, Baihan Wang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Artificial intelligence in psychiatric diagnosis: challenges and opportunities in the era of machine learning
Kirolos Eskandar
Debates em Psiquiatria (2024) Vol. 14, pp. 1-16
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
Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis
Caroline L. Alves, Tiago Martinelli, Loriz Francisco Sallum, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0305630-e0305630
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
Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence
Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access
Using Genetics to Increase Specificity of Outcome Prediction in Psychiatric Disorders: Prospects for Progression
Peter Holmans
American Journal of Psychiatry (2020) Vol. 177, Iss. 10, pp. 884-887
Open Access | Times Cited: 3
A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning
Georgios V. Thomaidis, Konstantinos Papadimitriou, Sotirios Michos, et al.
IBRO Neuroscience Reports (2023) Vol. 15, pp. 77-89
Open Access | Times Cited: 1
Application of Genetic Algorithm in Predicting Mental Illness: A Case Study of Schizophrenia
Sheida Rabipour, Zahra Asadi
Springer tracts in nature-inspired computing (2023), pp. 161-183
Closed Access | Times Cited: 1
Genetics and epigenetics of human aggression
Veronika V. Odintsova, Fiona A. Hagenbeek, Camiel M. van der Laan, et al.
Handbook of clinical neurology (2023), pp. 13-44
Open Access | Times Cited: 1
Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
Aruane M. Pineda, Caroline L. Alves, Michael Möckel, et al.
Journal of Complex Networks (2023) Vol. 11, Iss. 5
Closed Access | Times Cited: 1
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
Caroline L. Alves, Thaise G. L. de O. Toutain, Patrícia de Carvalho Aguiar, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2

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