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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN2287-1608
  • E-ISSN2287-1616
  • KCI

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

Asian Journal of Innovation and Policy / Asian Journal of Innovation and Policy, (P)2287-1608; (E)2287-1616
2023, v.12 no.3, pp.304-322
https://doi.org/10.7545/AJIP.2023.12.3.304
Prakoso Bhairawa Putera (National Research and Innovation Agency (BRIN))
Amelya Gustina (National Research and Innovation Agency (BRIN))

Abstract

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.

keywords
trend publications, literature review publications, Scopus database, Asian Comparison

Asian Journal of Innovation and Policy