Exploring emerging IoT technologies in smart health research: a knowledge graph analysis.

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis.

Yang, Xuejie;Wang, Xiaoyu;Li, Xingguo;Gu, Dongxiao;Liang, Changyong;Li, Kang;Zhang, Gongrang;Zhong, Jinhong;
BMC medical informatics and decision making 2020 Vol. 20 pp. 260
206
yang2020exploringbmc

Abstract

At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.We use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003-2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis.The field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research.This study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research.

Citation

ID: 128116
Ref Key: yang2020exploringbmc
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
128116
Unique Identifier:
10.1186/s12911-020-01278-9
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet