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Woojin Jung
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 9
Top Topics
Randomized Controlled Trial
Deep Learning
Social Media
Meta Analyses
Top Venues
Journal of medical Internet research
Archives of suicide research : official journal of the International Academy for Suicide Research
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This page only lists publications with an associated author ORCID identifier.
Publications
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Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Donghun Kim
,
Woojin Jung
,
Ting Jiang
,
Yongjun Zhu
An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.
Journal of medical Internet research
25 (2023)
Seojin Nam
,
Donghun Kim
,
Woojin Jung
,
Yongjun Zhu
Understanding the Research Landscape of Deep Learning in Biomedical Science: Scientometric Analysis.
Journal of medical Internet research
24 (4) (2022)
Woojin Jung
,
Donghun Kim
,
Seojin Nam
,
Yongjun Zhu
Suicidality Detection on Social Media Using Metadata and Text Feature Extraction and Machine Learning.
Archives of suicide research : official journal of the International Academy for Suicide Research
(2021)