This paper is in the following e-collection/theme issue:

Scientometrics, Infometrics, and Altmetrics (83) Machine Learning (1385) Natural Language Processing (644) Clinical Informatics (912) Digital Health Meta-Research and Bibliographic Studies (32) Knowledge Translation and Implementation Science (373) Information Retrieval (271) Artificial Intelligence (1198)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28114, first published .
Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis

Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis

Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis

Authors of this article:

Seojin Nam1 Author Orcid Image ;   Donghun Kim1 Author Orcid Image ;   Woojin Jung1 Author Orcid Image ;   Yongjun Zhu2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

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  2. Li M, Zhang F, Chen Y, Luo H, Quan Z, Wang Y, Huang L, Wang J. A state-of-the-art review of functional magnetic resonance imaging technique integrated with advanced statistical modeling and machine learning for primary headache diagnosis. Frontiers in Human Neuroscience 2023;17 View