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Visualizing Knowledge Evolution of Emerging Information Technologies in Chronic Diseases Research

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Smart Health (ICSH 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10983))

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Abstract

To provide knowledge support and reference for scholars in technologies and data-driven chronic disease research, investigated knowledge base, research hotspots, development status and concluded future research directions in chronic disease research driven by emerging technologies. We conducted a bibliometric analysis based on 4820 literature data collected from the Web of Science core collection during 2000–2017. The time distribution, space distribution, literature co-citation were analyzed and visualized, the dynamic process of research hotspots in this research filed was revealed, and future development trends were discussed.

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Acknowledgements

The dataset collection and analysis of this research were partially supported by the National Natural Science Foundation of China (NSFC) under grant Nos. 71331002, 71301040, 71771075, 71771077, 71573071, and 71601061.

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Authors and Affiliations

  1. The School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China

    Dongxiao Gu, Kang Li & Changyong Liang

  2. The 1st Affiliated Hospital, Anhui University of Traditional Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China

    Xiaoyu Wang

Authors
  1. Dongxiao Gu
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  2. Kang Li
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  3. Xiaoyu Wang
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  4. Changyong Liang
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Corresponding author

Correspondence to Xiaoyu Wang .

Editor information

Editors and Affiliations

  1. University of Arizona, Tucson, AZ, USA

    Hsinchun Chen

  2. Wuhan University, Wuhan, China

    Qing Fang

  3. University of Arizona, Tucson, AZ, USA

    Daniel Zeng

  4. Wuhan University, Wuhan, China

    Jiang Wu

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Gu, D., Li, K., Wang, X., Liang, C. (2018). Visualizing Knowledge Evolution of Emerging Information Technologies in Chronic Diseases Research. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds) Smart Health. ICSH 2018. Lecture Notes in Computer Science(), vol 10983. Springer, Cham. https://doi.org/10.1007/978-3-030-03649-2_26

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  • DOI: https://doi.org/10.1007/978-3-030-03649-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03648-5

  • Online ISBN: 978-3-030-03649-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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