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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:

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: 45

Showing 1-25 of 45 citing articles:

Connectome‐Based Predictive Modeling of Trait Mindfulness
Isaac N. Treves, Aaron Kucyi, Madelynn Park, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 1
Open Access | Times Cited: 2
Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset
Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1132-1132
Open Access | Times Cited: 2
Quality over quantity: powering neuroimaging samples in psychiatry
Carolina Makowski, Thomas E. Nichols, Anders M. Dale
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 58-66
Closed Access | Times Cited: 9
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
Masaru Tanaka
Biomedicines (2025) Vol. 13, Iss. 1, pp. 167-167
Open Access | Times Cited: 1
Announcing “Technology and Psychiatry” and Expanding Evidence-Based Comments and Reviews in JAMA Psychiatry
Döst Öngür, Roy H. Perlis
JAMA Psychiatry (2025) Vol. 82, Iss. 3, pp. 215-215
Closed Access | Times Cited: 1
The application of artificial intelligence in insomnia, anxiety, and depression: A bibliometric analysis
E. Lu, Di Zhang, Minseok Han, et al.
Digital Health (2025) Vol. 11
Open Access | Times Cited: 1
Interoception, network physiology and the emergence of bodily self-awareness
Diego Candia‐Rivera, Tahnée Engelen, Mariana Babo-Rebelo, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 165, pp. 105864-105864
Open Access | Times Cited: 8
Mitochondrial dynamics dysfunction: Unraveling the hidden link to depression
Haiyang Chen, Mei Lu, Qin Lyu, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 175, pp. 116656-116656
Open Access | Times Cited: 6
Identifying major depressive disorder based on cerebral blood flow and brain structure: An explainable multimodal learning study
Jinlong Hu, Yupeng Hou, Bo Peng, et al.
Journal of Psychiatric Research (2025) Vol. 182, pp. 304-311
Closed Access
Machine learning-based prediction of illness course in major depression: The relevance of risk factors
Lea Teutenberg, Frederike Stein, Florian Thomas‐Odenthal, et al.
Journal of Affective Disorders (2025)
Closed Access
Accurate identification of anxiety and depression based on the dlPFC in an emotional autobiographical memory task: A machine learning approach
Guixiang Wang, Yusen Huang, Yan Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107503-107503
Closed Access
Prospects for the Use of Machine Learning for Mood Disorders
Ekaterina Mosolova, A. Е. Alfimov, E G Kostyukova, et al.
Digital Diagnostics (2025)
Open Access
Using effective connectivity-based predictive modeling to predict MDD scale scores from multisite rs-fMRI data
Peishan Dai, Zhuang He, Jialin Luo, et al.
Journal of Neuroscience Methods (2025) Vol. 417, pp. 110406-110406
Closed Access
Advancing the diagnosis of major depressive disorder: Integrating neuroimaging and machine learning
Shiqi Yin, Ying-Huan Li
World Journal of Psychiatry (2025) Vol. 15, Iss. 3
Closed Access
A Framework for Comparison and Interpretation of Machine Learning Classifiers to Predict Autism on the ABIDE Dataset
Yilan Dong, Dafnis Batallé, Maria Deprez
Human Brain Mapping (2025) Vol. 46, Iss. 5
Open Access
Generalizability of clinical prediction models in mental health
Maike Richter, Daniel Emden, Ramona Leenings, et al.
Molecular Psychiatry (2025)
Open Access
Examining the Long-Term Impacts of Psychotropic Drugs and Considerations for People Discontinuing Treatment
Timothy Wand
Issues in Mental Health Nursing (2025), pp. 1-9
Open Access
Reevaluating the brain disease model of addiction
Chrysanthi Blithikioti, Eiko I. Fried, Emiliano Albanese, et al.
The Lancet Psychiatry (2025)
Closed Access
Machine learning-driven risk prediction and feature identification for major depressive disorder and its progression: an exploratory study based on five years of longitudinal data from the US national health survey
Youbei Lin, Chuang Li, Hongyu Li
Journal of Affective Disorders (2025)
Closed Access
Changes in brain function during negative emotion processing following cognitive–behavioural therapy in depressive disorders
Tiana Borgers, Esther Zwiky, Melissa Klug, et al.
The British Journal of Psychiatry (2025), pp. 1-8
Closed Access
Blood immuno-metabolic biomarker signatures of depression and affective symptoms in young adults
Nicholas A Donnelly, Ruby S. M. Tsang, Éimear M. Foley, et al.
Brain Behavior and Immunity (2025)
Open Access
Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilities
Rachid Riad, Alexandre Ducorroy, Sélim Benjamin Guessoum, et al.
Research Square (Research Square) (2025)
Closed Access
Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks
Chong Li, K. Zhang, Qin Lin, et al.
BMC Medicine (2025) Vol. 23, Iss. 1
Open Access
Detection of Suicidality Through Privacy-Preserving Large Language Models
Isabella C. Wiest, Falk Gerrik Verhees, Dyke Ferber, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
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