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 neural networks in psychiatry
Daniel Durstewitz, Georgia Koppe, Andreas Meyer‐Lindenberg
Molecular Psychiatry (2019) Vol. 24, Iss. 11, pp. 1583-1598
Open Access | Times Cited: 234

Showing 1-25 of 234 citing articles:

Deep learning in mental health outcome research: a scoping review
Chang Su, Zhenxing Xu, Jyotishman Pathak, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 264
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 6, Iss. 9, pp. 856-864
Open Access | Times Cited: 239
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 168
Deep learning for small and big data in psychiatry
Georgia Koppe, Andreas Meyer‐Lindenberg, Daniel Durstewitz
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 176-190
Open Access | Times Cited: 162
Addiction Research Consortium: Losing and regaining control over drug intake (ReCoDe)—From trajectories to mechanisms and interventions
Andreas Heinz, Falk Kiefer, Michael N. Smolka, et al.
Addiction Biology (2019) Vol. 25, Iss. 2
Open Access | Times Cited: 161
How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
Maia Jacobs, Melanie F. Pradier, Thomas H. McCoy, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 159
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
Weizheng Yan, Vince D. Calhoun, Ming Song, et al.
EBioMedicine (2019) Vol. 47, pp. 543-552
Open Access | Times Cited: 151
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
Stefan Frässle, Eduardo A. Aponte, Saskia Bollmann, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 119
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: 86
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 86
Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
Selene Gallo, Ahmed El-Gazzar, Paul Zhutovsky, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 7, pp. 3013-3022
Open Access | Times Cited: 51
Deep learning models reveal replicable, generalizable, and behaviorally relevant sex differences in human functional brain organization
Srikanth Ryali, Yuan Zhang, Carlo de los Angeles, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 9
Closed Access | Times Cited: 26
3D-CNN based discrimination of schizophrenia using resting-state fMRI
Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Boreom Lee
Artificial Intelligence in Medicine (2019) Vol. 98, pp. 10-17
Closed Access | Times Cited: 141
Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health
Leonard Bickman
Administration and Policy in Mental Health and Mental Health Services Research (2020) Vol. 47, Iss. 5, pp. 795-843
Open Access | Times Cited: 137
Deep Learning Convolutional Neural Networks Discriminate Adult ADHD From Healthy Individuals on the Basis of Event-Related Spectral EEG
Laura Dubreuil-Vall, Giulio Ruffini, Joan A. Camprodon
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 128
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
Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm
Jihoon Oh, Baek‐Lok Oh, Kyong-Uk Lee, et al.
Frontiers in Psychiatry (2020) Vol. 11
Open Access | Times Cited: 113
Knowing me, knowing you: theory of mind in AI
Fabio Cuzzolin, Alice Morelli, Bogdan-Ionuţ Cîrstea, et al.
Psychological Medicine (2020) Vol. 50, Iss. 7, pp. 1057-1061
Open Access | Times Cited: 109
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 102
Application of machine learning in predicting hospital readmissions: a scoping review of the literature
Yinan Huang, Ashna Talwar, Satabdi Chatterjee, et al.
BMC Medical Research Methodology (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 83
A Brief Review of Artificial Intelligence Applications and Algorithms for Psychiatric Disorders
Guangdi Liu, Yuchen Li, Wei Zhang, et al.
Engineering (2019) Vol. 6, Iss. 4, pp. 462-467
Open Access | Times Cited: 81
Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis
Mirjam Quaak, Laurens van de Mortel, Rajat M. Thomas, et al.
NeuroImage Clinical (2021) Vol. 30, pp. 102584-102584
Open Access | Times Cited: 72
Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning
Ching‐Wei Wang, Yi-An Liou, Yi‐Jia Lin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 71
Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model
Metin Akay, Yong Du, Cheryl L. Sershen, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2021) Vol. 2, pp. 104-110
Open Access | Times Cited: 61
Application of Artificial Intelligence on Psychological Interventions and Diagnosis: An Overview
Sijia Zhou, Jingping Zhao, Lulu Zhang
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 55
Page 1 - Next Page

Scroll to top