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:

Systematic misestimation of machine learning performance in neuroimaging studies of depression
Claas Flint, Micah Cearns, Nils Opel, et al.
Neuropsychopharmacology (2021) Vol. 46, Iss. 8, pp. 1510-1517
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Digital medicine and the curse of dimensionality
Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 214
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: 161
Modern Methods of Diagnostics and Treatment of Neurodegenerative Diseases and Depression
Natalia Shusharina, Denis Yukhnenko, Stepan Botman, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 56
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder
Nils R. Winter, Julian Blanke, Ramona Leenings, et al.
JAMA Psychiatry (2024) Vol. 81, Iss. 4, pp. 386-386
Closed Access | Times Cited: 44
Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites
Kun Qin, Du Lei, Walter Hugo Lopez Pinaya, et al.
EBioMedicine (2022) Vol. 78, pp. 103977-103977
Open Access | Times Cited: 52
Reproducibility in Neuroimaging Analysis: Challenges and Solutions
Rotem Botvinik‐Nezer, Tor D. Wager
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2022) Vol. 8, Iss. 8, pp. 780-788
Open Access | Times Cited: 52
Performance reserves in brain-imaging-based phenotype prediction
Marc‐Andre Schulz, Danilo Bzdok, Stefan Haufe, et al.
Cell Reports (2023) Vol. 43, Iss. 1, pp. 113597-113597
Open Access | Times Cited: 25
Time-sensitive changes in the maternal brain and their influence on mother-child attachment
Susanne Nehls, Elena Losse, C Enzensberger, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
V. Belov, Tracy Erwin-Grabner, Moji Aghajani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy
Cyrus S. H. Ho, Jin-Yuan Wang, Gabrielle Wann Nii Tay, et al.
Asian Journal of Psychiatry (2024) Vol. 92, pp. 103901-103901
Closed Access | Times Cited: 12
Morphological and genetic decoding shows heterogeneous patterns of brain aging in chronic musculoskeletal pain
Lei Zhao, Jiao Liu, Wenhui Zhao, et al.
Nature Mental Health (2024) Vol. 2, Iss. 4, pp. 435-449
Closed Access | Times Cited: 10
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 9
A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data
Jakub Tomasik, Sung Yeon Sarah Han, Giles Barton‐Owen, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 55
Population modeling with machine learning can enhance measures of mental health
Kamalaker Dadi, Gaël Varoquaux, Josselin Houenou, et al.
GigaScience (2021) Vol. 10, Iss. 10
Open Access | Times Cited: 44
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, et al.
Experimental Neurology (2021) Vol. 339, pp. 113608-113608
Open Access | Times Cited: 43
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
Ten quick tips for deep learning in biology
Benjamin D. Lee, Anthony Gitter, Casey S. Greene, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1009803-e1009803
Open Access | Times Cited: 31
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 19
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning
Willem B. Bruin, Paul Zhutovsky, Guido van Wingen, et al.
Nature Mental Health (2024) Vol. 2, Iss. 1, pp. 104-118
Closed Access | Times Cited: 6
Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders
Kevin Hilbert, Joscha Böhnlein, Charlotte Meinke, et al.
NeuroImage (2024) Vol. 295, pp. 120639-120639
Open Access | Times Cited: 6
An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling
Tim Hahn, Jan Ernsting, Nils R. Winter, et al.
Science Advances (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 27
Leveraging Machine Learning for Gaining Neurobiological and Nosological Insights in Psychiatric Research
Chen Ji, Kaustubh R. Patil, B.T. Thomas Yeo, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 1, pp. 18-28
Open Access | Times Cited: 25
Spectral decomposition of EEG microstates in post-traumatic stress disorder
Braeden A. Terpou, Saurabh Bhaskar Shaw, Jean Théberge, et al.
NeuroImage Clinical (2022) Vol. 35, pp. 103135-103135
Open Access | Times Cited: 24
Overfitting to ‘predict’ suicidal ideation
Timothy Verstynen, Konrad P. Körding
Nature Human Behaviour (2023) Vol. 7, Iss. 5, pp. 680-681
Closed Access | Times Cited: 13
Page 1 - Next Page

Scroll to top