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

Scientometrics, Infometrics, and Altmetrics (109) Machine Learning (1745) Natural Language Processing (804) Clinical Informatics (1165) Digital Health Meta-Research and Bibliographic Studies (49) Knowledge Translation and Implementation Science (443) Information Retrieval (324) Artificial Intelligence (1750)

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
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New in JMIR: Understanding the #Research Landscape of Deep Learning in Bio##Medical Science: Scientometric Analysis… https://t.co/HP5GecSTba

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RT @jmirpub: New in JMIR: Understanding the #Research Landscape of Deep Learning in Bio##Medical Science: Scientometric Analysis https://t.…

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Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis… https://t.co/zj1UO6QjlP

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Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis https://t.co/eX7GC1LXEi

7:22 AM · Apr 24, 2022

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