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:

Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis
Sem E Cohen, Jasper B. Zantvoord, Babet N. Wezenberg, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 56

Showing 51-75 of 56 citing articles:

Antidepressant Treatment Response Prediction with Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA
Lok Hua Lee, Cyrus S. H. Ho, Yee Ling Chan, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 13, pp. 9-22
Open Access

Predicting Antidepressant Treatment Response Using Functional Brain Controllability Analysis
Feng Fang, Beata R. Godlewska, Sudhakar Selvaraj, et al.
Brain Connectivity (2022) Vol. 13, Iss. 2, pp. 107-116
Closed Access | Times Cited: 2

Development and validation of a multimodal neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis
Willem B. Bruin, Leif Oltedal, Hauke Bartsch, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1

Predicting treatment response in adolescents and young adults with major depressive episodes from fMRI using graph isomorphism network
Jia Duan, Yueying Li, Xiaotong Zhang, et al.
NeuroImage Clinical (2023) Vol. 40, pp. 103534-103534
Open Access

Machine learning and depression
Yifan Wang
The Meducator (2021), Iss. 40, pp. 18-21
Open Access

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