Research Trends on Literature Reviews in Scopus Journals by Authors from Indonesia, Japan, South Korea, Vietnam, Singapore, and Malaysia: A Bibliometric Analysis from 2003 to 2022

Text data mining (‘big data methods’) is one of the most widely used approaches during the COVID-19 pandemic. In particular, text data mining on Scopus databases or Web of Science (WoS). Text data mining is widely used to collect literature for later bibliometric analysis, and in the end, it becomes...

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Bibliographic Details
Published in:Asian Journal of Innovation and Policy, 12(3) 2023, 12(3), 33, pp.304-322
Main Authors: Prakoso Bhairawa Putera(National Research and Innovation Agency, Amelya Gustina(National Research and Innovation Agency
Format: Article
Language:English
Subjects:
기술정책
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Summary:Text data mining (‘big data methods’) is one of the most widely used approaches during the COVID-19 pandemic. In particular, text data mining on Scopus databases or Web of Science (WoS). Text data mining is widely used to collect literature for later bibliometric analysis, and in the end, it becomes a literature review article. Therefore, in this article, we reveal the trend of publication of literature reviews in Scopus journals from Indonesia, Japan, South Korea, Vietnam, Singapore, and Malaysia. This article describes two essential parts, namely 1) a comparison of international publication trends and subject area of literature review publications, and 2) a comparison of Top 5 for Authors, Affiliation, Source Title, and Collaboration Country. KCI Citation Count: 0
ISSN:2287-1608
2287-1616