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作者:

Xu, Shuo (Xu, Shuo.) (学者:徐硕) | Hao, Liyuan (Hao, Liyuan.) | An, Xin (An, Xin.) | Pang, Hongshen (Pang, Hongshen.) | Li, Ting (Li, Ting.)

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SSCI Scopus SCIE

摘要:

The fast development of the emerging research topics field results in hundreds of theoretical and empirical publications. However, to our knowledge, there is no comprehensive and objective literature review on this field until now. To this end, a citation network consisting of 1607 papers between 1965 and early 2019 is explored to discover the knowledge diffusion trajectory of the emerging research topics field by the key-route main path analysis approach, armed with the traversal weight of search path link count. From the convergence-divergence patterns in the local and global main paths, the development of emerging research topics field can be divided into three different stages: the emergence, exploration and development stages. In the meanwhile, several research drifts can also be observed: (1) from citation-based approaches to machine learning based ones, (2) from the measurement to the identification, and (3) from the papers to the patents. Finally, the directions of future research are suggested.

关键词:

Knowledge diffusion trajectory Key-route main path analysis Literature review Emerging research topics

作者机构:

  • [ 1 ] [Xu, Shuo]Beijing Univ Technol, Coll Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
  • [ 2 ] [Hao, Liyuan]Beijing Univ Technol, Coll Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
  • [ 3 ] [An, Xin]Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China
  • [ 4 ] [Pang, Hongshen]Shenzhen Univ, Lib, Shenzhen 518060, Peoples R China
  • [ 5 ] [Li, Ting]Chinese Acad Sci, Guangzhou Inst Biomed & Hlth, Guangzhou 510530, Guangdong, Peoples R China

通讯作者信息:

  • [An, Xin]Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China

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来源 :

SCIENTOMETRICS

ISSN: 0138-9130

年份: 2019

期: 1

卷: 122

页码: 607-624

3 . 9 0 0

JCR@2022

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:84

JCR分区:2

被引次数:

WoS核心集被引频次: 35

SCOPUS被引频次: 40

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 4

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