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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:

Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning
Ronald J. Janssen, Janaı́na Mourão-Miranda, Hugo G. Schnack
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2018) Vol. 3, Iss. 9, pp. 798-808
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
Sarah Graham, Colin A. Depp, Ellen Lee, et al.
Current Psychiatry Reports (2019) Vol. 21, Iss. 11
Open Access | Times Cited: 595
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: 236
Introduction to machine learning
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Machine learning (2019), pp. 1-20
Closed Access | Times Cited: 183
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 144
Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities
Nils R. Winter, Ramona Leenings, Jan Ernsting, et al.
JAMA Psychiatry (2022) Vol. 79, Iss. 9, pp. 879-879
Open Access | Times Cited: 129
A Review of Using Machine Learning Approaches for Precision Education.
Hui Luan, Chin‐Chung Tsai
Educational Technology & Society (2021) Vol. 24, Iss. 1, pp. 250-266
Closed Access | Times Cited: 107
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
The Burden of Reliability: How Measurement Noise Limits Brain-Behaviour Predictions
Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 43
Machine Learning With Neuroimaging: Evaluating Its Applications in Psychiatry
Ashley N. Nielsen, Deanna M. Barch, Steven E. Petersen, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 5, Iss. 8, pp. 791-798
Open Access | Times Cited: 112
Applications of machine learning in addiction studies: A systematic review
Kwok Kei Mak, Kounseok Lee, Cheolyong Park
Psychiatry Research (2019) Vol. 275, pp. 53-60
Closed Access | Times Cited: 110
Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence
Sandra Vieira, Qiyong Gong, Walter Hugo Lopez Pinaya, et al.
Schizophrenia Bulletin (2018) Vol. 46, Iss. 1, pp. 17-26
Open Access | Times Cited: 88
Your evidence? Machine learning algorithms for medical diagnosis and prediction
Bert Heinrichs, Simon B. Eickhoff
Human Brain Mapping (2019) Vol. 41, Iss. 6, pp. 1435-1444
Open Access | Times Cited: 82
One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry
Elvisha Dhamala, B.T. Thomas Yeo, Avram J. Holmes
Biological Psychiatry (2022) Vol. 93, Iss. 8, pp. 717-728
Closed Access | Times Cited: 61
The promise of a model-based psychiatry: building computational models of mental ill health
Tobias U. Hauser, Vasilisa Skvortsova, Munmun De Choudhury, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 11, pp. e816-e828
Open Access | Times Cited: 52
Predicting the future of neuroimaging predictive models in mental health
Link Tejavibulya, Max Rolison, Siyuan Gao, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 8, pp. 3129-3137
Open Access | Times Cited: 38
Restoring the missing person to personalized medicine and precision psychiatry
Ana Gómez-Carrillo, Vincent Paquin, Guillaume Dumas, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 28
Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Meng Cao, Elizabeth Martin, Xiaobo Li
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice
Stefania Tognin, Hendrika H. van Hell, Kate Merritt, et al.
Schizophrenia Bulletin (2019) Vol. 46, Iss. 2, pp. 432-441
Open Access | Times Cited: 69
Translational machine learning for psychiatric neuroimaging
Martin Walter, Sarah Alizadeh, Hamidreza Jamalabadi, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2018) Vol. 91, pp. 113-121
Closed Access | Times Cited: 68
Resilience as a translational endpoint in the treatment of PTSD
Gopalkumar Rakesh, Rajendra A. Morey, Anthony S. Zannas, et al.
Molecular Psychiatry (2019) Vol. 24, Iss. 9, pp. 1268-1283
Open Access | Times Cited: 62
Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease
Joseph Giorgio, Susan Landau, William J. Jagust, et al.
NeuroImage Clinical (2020) Vol. 26, pp. 102199-102199
Open Access | Times Cited: 60
Predicting future onset of depression among community dwelling adults in the Republic of Korea using a machine learning algorithm
Kyoung‐Sae Na, Seo‐Eun Cho, Zong Woo Geem, et al.
Neuroscience Letters (2020) Vol. 721, pp. 134804-134804
Closed Access | Times Cited: 55
Computing schizophrenia: ethical challenges for machine learning in psychiatry
Georg Starke, Eva De Clercq, Stefan Borgwardt, et al.
Psychological Medicine (2020) Vol. 51, Iss. 15, pp. 2515-2521
Open Access | Times Cited: 53
Shared and Specific Patterns of Structural Brain Connectivity Across Affective and Psychotic Disorders
Jonathan Repple, Marius Gruber, Marco Mauritz, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 2, pp. 178-186
Open Access | Times Cited: 35
Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry
Rihui Li, S. M. Hadi Hosseini, Manish Saggar, et al.
Neurophotonics (2023) Vol. 10, Iss. 01
Open Access | Times Cited: 21
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