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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:

Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies
Joseph Kambeitz, Carlos Cabral, Matthew D. Sacchet, et al.
Biological Psychiatry (2016) Vol. 82, Iss. 5, pp. 330-338
Open Access | Times Cited: 221

Showing 1-25 of 221 citing articles:

Machine Learning Approaches for Clinical Psychology and Psychiatry
Dominic Dwyer, Peter Falkai, Nikolaos Koutsouleris
Annual Review of Clinical Psychology (2018) Vol. 14, Iss. 1, pp. 91-118
Closed Access | Times Cited: 741
Introduction to machine learning
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Machine learning (2019), pp. 1-20
Closed Access | Times Cited: 183
Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis
Alik S. Widge, Mustafa Taha Bilge, Rebecca E. Montana, et al.
American Journal of Psychiatry (2018) Vol. 176, Iss. 1, pp. 44-56
Open Access | Times Cited: 163
Quantifying performance of machine learning methods for neuroimaging data
Lee Jollans, Rory Boyle, Éric Artiges, et al.
NeuroImage (2019) Vol. 199, pp. 351-365
Open Access | Times Cited: 156
From promise to practice: towards the realisation of AI-informed mental health care
Nikolaos Koutsouleris, Tobias U. Hauser, Vasilisa Skvortsova, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 11, pp. e829-e840
Open Access | Times Cited: 128
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
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Alaa Abd‐Alrazaq, Rawan AlSaad, Farag Shuweihdi, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 47
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
Cortical thickness in major depressive disorder: A systematic review and meta-analysis
Jee Su Suh, Maiko Abel Schneider, Luciano Minuzzi, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2018) Vol. 88, pp. 287-302
Open Access | Times Cited: 142
Treatment response prediction and individualized identification of first-episode drug-naïve schizophrenia using brain functional connectivity
Bo Cao, Raymond Y. Cho, Dachun Chen, et al.
Molecular Psychiatry (2018) Vol. 25, Iss. 4, pp. 906-913
Closed Access | Times Cited: 130
Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers
Takashi Yamada, Ryuichiro Hashimoto, Noriaki Yahata, et al.
The International Journal of Neuropsychopharmacology (2017) Vol. 20, Iss. 10, pp. 769-781
Open Access | Times Cited: 119
Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia
Dominic Dwyer, Carlos Cabral, Lana Kambeitz‐Ilankovic, et al.
Schizophrenia Bulletin (2018) Vol. 44, Iss. 5, pp. 1060-1069
Open Access | Times Cited: 98
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
Efficacy of bio- and neurofeedback for depression: a meta-analysis
Javier Fernández‐Álvarez, Massimiliano Grassi, Desirèe Colombo, et al.
Psychological Medicine (2021) Vol. 52, Iss. 2, pp. 201-216
Open Access | Times Cited: 66
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
Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies
Sandra Vieira, Xinyi Liang, Raquel Guiomar, et al.
Clinical Psychology Review (2022) Vol. 97, pp. 102193-102193
Open Access | Times Cited: 49
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
Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo
Cynthia H.Y. Fu, Mathilde Antoniades, Güray Erus, et al.
Nature Mental Health (2024) Vol. 2, Iss. 2, pp. 164-176
Open Access | Times Cited: 11
Psychoneuroendocrinology
Luca Sforzini, Frances Isabella Weston, Carmine M. Pariante
American Psychiatric Association Publishing eBooks (2024)
Closed Access | Times Cited: 11
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: 70
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
Individualized Diagnostic and Prognostic Models for Patients With Psychosis Risk Syndromes: A Meta-analytic View on the State of the Art
Rachele Sanfelici, Dominic Dwyer, Linda A. Antonucci, et al.
Biological Psychiatry (2020) Vol. 88, Iss. 4, pp. 349-360
Open Access | Times Cited: 68
Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases
Emine Elif Tülay, Barış Metin, Nevzat Tarhan, et al.
Clinical EEG and Neuroscience (2018) Vol. 50, Iss. 1, pp. 20-33
Closed Access | Times Cited: 67
Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder
Harry Rubin‐Falcone, Francesca Zanderigo, Binod Thapa-Chhetry, et al.
Journal of Affective Disorders (2017) Vol. 227, pp. 498-505
Open Access | Times Cited: 65
Neuroimaging insights into the link between depression and Insomnia: A systematic review
Shadi Bagherzadeh‐Azbari, Habibolah Khazaie, Mojtaba Zarei, et al.
Journal of Affective Disorders (2019) Vol. 258, pp. 133-143
Open Access | Times Cited: 63
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