Visualizing Knowledge Evolution of Emerging Information Technologies in Chronic Diseases Research

  • Dongxiao Gu
  • Kang Li
  • Xiaoyu WangEmail author
  • Changyong Liang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10983)


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.


Emerging technologies Chronic diseases Bibliometric analysis Technologies and data-driven 



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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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Dongxiao Gu
    • 1
  • Kang Li
    • 1
  • Xiaoyu Wang
    • 2
    Email author
  • Changyong Liang
    • 1
  1. 1.The School of ManagementHefei University of TechnologyHefeiChina
  2. 2.The 1st Affiliated HospitalAnhui University of Traditional Chinese MedicineHefeiChina

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