{"title":"Mapping the Intellectual Structure of Cloud Computing, Big Data and Healthcare Research","authors":"Jen-Hwa Kuo, Terry B. J. Kuo, Cheryl C. H. Yang","doi":"10.1145/3484377.3484388","DOIUrl":null,"url":null,"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.","PeriodicalId":123184,"journal":{"name":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 International Conference on Intelligent Medicine and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3484377.3484388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.