Mapping the Intellectual Structure of Cloud Computing, Big Data and Healthcare Research

Jen Hwa Kuo, Terry B. J. Kuo, Cheryl C. H. Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to explore the knowledge structure relevance of cloud computing, big data and healthcare research in the past ten years, this study identified the most important publications and the most influential papers, countries, research institutions, and the relationship between these scholars' publications. While analyzing the development and influence of the main prominent keywords. In this study, bibliometrics and social network analysis techniques were used to investigate the knowledge pillars of cloud computing, big data, and healthcare literature. This research draws a knowledge network of research by analyzing the citations of 2,358 articles in the field of cloud computing, big data, and healthcare published in SCI and SSCI journals from July 2011 to June 2021. The mapping results help determine the research direction of cloud computing, big data and healthcare research, and provide valuable knowledge and information for researchers to obtain literature in this field.

Original languageEnglish
Title of host publicationProceedings of the 2021 3rd International Conference on Intelligent Medicine and Health, ICIMH 2021
PublisherAssociation for Computing Machinery
Pages64-70
Number of pages7
ISBN (Electronic)9781450385909
DOIs
StatePublished - 13 Aug 2021
Event3rd International Conference on Intelligent Medicine and Health, ICIMH 2021 - Virtual, Online, China
Duration: 13 Aug 202115 Aug 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Intelligent Medicine and Health, ICIMH 2021
Country/TerritoryChina
CityVirtual, Online
Period13/08/2115/08/21

Keywords

  • bibliometrics
  • big data
  • cloud computing
  • healthcare

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