Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research

In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for b...

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Main Authors: Xiaoyu Wang, Wang Zhao, Yongzhong Wang, Qin Zhao, Xuejie Yang, Kaixiang Su, Dongxiao Gu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/1/109
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spelling doaj-1affe225892749a69f6fcd71db3f7f7c2020-11-25T02:38:14ZengMDPI AGEntropy1099-43002020-01-0122110910.3390/e22010109e22010109Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare ResearchXiaoyu Wang0Wang Zhao1Yongzhong Wang2Qin Zhao3Xuejie Yang4Kaixiang Su5Dongxiao Gu6The Department of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230031, ChinaThe School of Management, Hefei University of Technology, Hefei 230009, ChinaThe Department of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230031, ChinaThe School of Foreign Studies, Hefei University of Technology, Hefei 230009, ChinaThe School of Management, Hefei University of Technology, Hefei 230009, ChinaThe School of Management, Hefei University of Technology, Hefei 230009, ChinaThe School of Management, Hefei University of Technology, Hefei 230009, ChinaIn order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research.https://www.mdpi.com/1099-4300/22/1/109complex scienceinformation theoryhealthcarebibliometrics
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoyu Wang
Wang Zhao
Yongzhong Wang
Qin Zhao
Xuejie Yang
Kaixiang Su
Dongxiao Gu
spellingShingle Xiaoyu Wang
Wang Zhao
Yongzhong Wang
Qin Zhao
Xuejie Yang
Kaixiang Su
Dongxiao Gu
Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
Entropy
complex science
information theory
healthcare
bibliometrics
author_facet Xiaoyu Wang
Wang Zhao
Yongzhong Wang
Qin Zhao
Xuejie Yang
Kaixiang Su
Dongxiao Gu
author_sort Xiaoyu Wang
title Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
title_short Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
title_full Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
title_fullStr Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
title_full_unstemmed Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
title_sort visual analysis on information theory and science of complexity approaches in healthcare research
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2020-01-01
description In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research.
topic complex science
information theory
healthcare
bibliometrics
url https://www.mdpi.com/1099-4300/22/1/109
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