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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 26-50 of 45 citing articles:

An audit and analysis of electro convulsive therapy patient information sheets used in local health districts in New South Wales Australia
Timothy Wand, Sophie Isobel, Holly Kemp
International Journal of Mental Health Nursing (2024) Vol. 33, Iss. 4, pp. 1119-1128
Open Access | Times Cited: 2
Lower motor performance is linked with poor sleep quality, depressive symptoms, and grey matter volume alterations
V. Küppers, Hanwen Bi, Eliana Nicolaisen‐Sobesky, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?
Abigail Ortiz, Benoit H. Mulsant
Journal of Medical Internet Research (2024) Vol. 26, pp. e59826-e59826
Open Access | Times Cited: 2
The role of biomarkers in clinical development of drugs for neuropsychiatric disorders - A pragmatic guide
Daniel Umbricht, Martien J. Kas, Gerard R. Dawson
European Neuropsychopharmacology (2024) Vol. 88, pp. 66-77
Open Access | Times Cited: 2
Detection of suicidality from medical text using privacy-preserving large language models
Isabella C. Wiest, Falk Gerrik Verhees, Dyke Ferber, et al.
The British Journal of Psychiatry (2024), pp. 1-6
Closed Access | Times Cited: 2
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.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Reductions in limbic activity during negative emotion processing following cognitive-behavioural therapy in depressive disorders
Tiana Borgers, Esther Zwiky, Melissa Klug, et al.
(2024)
Open Access | Times Cited: 1
Radiomics Based on Multimodal magnetic resonance imaging for the Differential Diagnosis of Benign and Malignant Vertebral Compression Fractures
Wei Geng, Jingfen Zhu, Li Mao, et al.
Orthopaedic Surgery (2024) Vol. 16, Iss. 10, pp. 2464-2474
Open Access | Times Cited: 1
Connectome predictive modeling of trait mindfulness
Isaac N. Treves, Aaron Kucyi, Madelynn Park, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Revisiting the use of adverse childhood experience screening in healthcare settings
Andrea Danese, Kirsten Asmussen, Jelena G MacLeod, et al.
Nature Reviews Psychology (2024) Vol. 3, Iss. 11, pp. 729-740
Closed Access | Times Cited: 1
Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis
Amin Saberi, Amir Ebneabbasi, Sama Rahimi, et al.
Molecular Psychiatry (2024)
Open Access | Times Cited: 1
Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders
Lydia Fortea, María Ortuño, Michele De Prisco, et al.
Biological Psychiatry (2024)
Closed Access | Times Cited: 1
Generalizability of Clinical Prediction Models in Mental Health - Real-World Validation of Machine Learning Models for Depressive Symptom Prediction
Maike Richter, Daniel Emden, Ramona Leenings, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry? (Preprint)
Abigail Ortiz, Benoit H. Mulsant
(2024)
Open Access
Individualized multi-modal MRI biomarkers predict 1-year clinical outcome in first-episode drug-naïve schizophrenia patients
Aoxiang Zhang, Chenyang Yao, Qian Zhang, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access
Momentary Depression-Severity Prediction in Acutely Depressed Patients undergoing Sleep Deprivation Therapy: Speech-based Machine Learning (Preprint)
Lisa‐Marie Hartnagel, Daniel Emden, Jerome C. Foo, et al.
JMIR Mental Health (2024) Vol. 11, pp. e64578-e64578
Open Access
Can we predict sleep health based on brain features? A large-scale machine learning study
Federico Raimondo, Hanwen Bi, Vera Komeyer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Moving towards precision psychiatry: the hard nut of depression
Juergen Dukart, Leon D. Lotter, Simon B. Eickhoff
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access
Revisiting Resting-State Functional Connectivity of the Amygdala and Subgenual Anterior Cingulate Cortex in Depressed Adolescents and Adults
Shijia Fan, Yuxi Wang, Yin Wang, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2024)
Closed Access
When biomarkers for major depressive disorder remain elusive
Yao Xiao, Fei Wang, Xizhe Zhang
Medical Review (2024) Vol. 5, Iss. 2, pp. 177-178
Closed Access
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012692-e1012692
Open Access
Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis
Amin Saberi, Amir Ebneabbasi, Sama Rahimi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Machine learning classification of retinal imaging of neuropsychiatric and healthy cases in a subset of the UK Biobank cohort
Babatunde Aideyan
(2023)
Open Access
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