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

Jen-Hwa Kuo, Terry B. J. Kuo, Cheryl C. H. Yang
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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.
绘制云计算、大数据和医疗保健研究的知识结构
为了探究近十年来云计算、大数据与医疗保健研究的知识结构相关性,本研究确定了最重要的出版物和最具影响力的论文、国家、研究机构,以及这些学者的出版物之间的关系。同时分析了主要突出关键词的发展和影响。在本研究中,文献计量学和社会网络分析技术被用于调查云计算、大数据和医疗文献的知识支柱。本研究通过分析2011年7月至2021年6月在SCI和SSCI期刊上发表的云计算、大数据和医疗保健领域的2358篇文章的引文,绘制了一个研究知识网络。绘制结果有助于确定云计算、大数据和医疗保健研究的研究方向,为研究者获取该领域的文献提供有价值的知识和信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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