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

Seojin Nam   1 , MA ;   Donghun Kim   1 , MA ;   Woojin Jung   1 , MA ;   Yongjun Zhu   2 , PhD

1 Department of Library and Information Science, Sungkyunkwan University, Seoul, Republic of Korea

2 Department of Library and Information Science, Yonsei University, Seoul, Republic of Korea

Corresponding Author:

  • Yongjun Zhu, PhD
  • Department of Library and Information Science
  • Yonsei University
  • 50 Yonsei-ro
  • Seodaemun-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 2 2123 2409
  • Email: zhu@yonsei.ac.kr