Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain

Jianhua Wang; Hong Li

doi:doi:10.11648/j.ijefm.20170505.16

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Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain

Jianhua Wang, Hong Li

Received: 23 October 2017 Accepted: Published: 27 October 2017

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Abstract

To date, very few research has been taken to quantitatively visualize the intellectual evolution of the field of detecting research fronts. Based on literature-searching analysis from the Thomson Reuters Web of Science as well as scientometrics mapping analysis, this important research topic is analyzed by techniques from informetric and bibliometric domains to detect its intellectual structures and dynamics. After data reduction and clean-up, 1841 articles published from 1991 to 2016 are downloaded, and two network analyses are conducted: a bibliometric approach (i.e. co-occurrence and co-citation network) and a complex network approach utilizing Chen’s CiteSpace. Results are illustrated as the following: (1) growth of publications is divided into three stages: a stagnant phase (1991 - 2002), a takeoff phase (2003 - 2009) and a blooming phase (2010 - 2016); (2) most of the research institutions in this domain are concentrated in the United States, China, Japan and some developed countries in Europe. Chinese research in this area is mainly concentrated in Wuhan university, Chinese academy of science and Dalian university of technology; (3) publications of detecting research fronts mainly focus on the disciplines of Compute Science, Engineering and Information science library science; (4) we find three main academic communities in this domain, and they mainly focus on development and application of methods detecting research fronts; (5) methods detecting research fronts are classified into two categories: citations analysis and topic words analysis; (6) Scientific researchers began to frequently use the database for scientometrics research after 2012 and medical field began to use this approach to understand some of the frontier dynamics in the field in 2014.

DOI	10.11648/j.ijefm.20170505.16
Published in	International Journal of Economics, Finance and Management Sciences (Volume 5, Issue 5, October 2017)
Page(s)	268-275
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Research fronts, CiteSpace, Bibliometric, Co-citation Network

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APA Style

Jianhua Wang, Hong Li. (2017). Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain. International Journal of Economics, Finance and Management Sciences, 5(5), 268-275. https://doi.org/10.11648/j.ijefm.20170505.16

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ACS Style

Jianhua Wang; Hong Li. Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain. Int. J. Econ. Finance Manag. Sci. 2017, 5(5), 268-275. doi: 10.11648/j.ijefm.20170505.16

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AMA Style

Jianhua Wang, Hong Li. Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain. Int J Econ Finance Manag Sci. 2017;5(5):268-275. doi: 10.11648/j.ijefm.20170505.16

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@article{10.11648/j.ijefm.20170505.16,
  author = {Jianhua Wang and Hong Li},
  title = {Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {5},
  number = {5},
  pages = {268-275},
  doi = {10.11648/j.ijefm.20170505.16},
  url = {https://doi.org/10.11648/j.ijefm.20170505.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20170505.16},
  abstract = {To date, very few research has been taken to quantitatively visualize the intellectual evolution of the field of detecting research fronts. Based on literature-searching analysis from the Thomson Reuters Web of Science as well as scientometrics mapping analysis, this important research topic is analyzed by techniques from informetric and bibliometric domains to detect its intellectual structures and dynamics. After data reduction and clean-up, 1841 articles published from 1991 to 2016 are downloaded, and two network analyses are conducted: a bibliometric approach (i.e. co-occurrence and co-citation network) and a complex network approach utilizing Chen’s CiteSpace. Results are illustrated as the following: (1) growth of publications is divided into three stages: a stagnant phase (1991 - 2002), a takeoff phase (2003 - 2009) and a blooming phase (2010 - 2016); (2) most of the research institutions in this domain are concentrated in the United States, China, Japan and some developed countries in Europe. Chinese research in this area is mainly concentrated in Wuhan university, Chinese academy of science and Dalian university of technology; (3) publications of detecting research fronts mainly focus on the disciplines of Compute Science, Engineering and Information science library science; (4) we find three main academic communities in this domain, and they mainly focus on development and application of methods detecting research fronts; (5) methods detecting research fronts are classified into two categories: citations analysis and topic words analysis; (6) Scientific researchers began to frequently use the database for scientometrics research after 2012 and medical field began to use this approach to understand some of the frontier dynamics in the field in 2014.},
 year = {2017}
}

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TY  - JOUR
T1  - Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain
AU  - Jianhua Wang
AU  - Hong Li
Y1  - 2017/10/27
PY  - 2017
N1  - https://doi.org/10.11648/j.ijefm.20170505.16
DO  - 10.11648/j.ijefm.20170505.16
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 268
EP  - 275
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20170505.16
AB  - To date, very few research has been taken to quantitatively visualize the intellectual evolution of the field of detecting research fronts. Based on literature-searching analysis from the Thomson Reuters Web of Science as well as scientometrics mapping analysis, this important research topic is analyzed by techniques from informetric and bibliometric domains to detect its intellectual structures and dynamics. After data reduction and clean-up, 1841 articles published from 1991 to 2016 are downloaded, and two network analyses are conducted: a bibliometric approach (i.e. co-occurrence and co-citation network) and a complex network approach utilizing Chen’s CiteSpace. Results are illustrated as the following: (1) growth of publications is divided into three stages: a stagnant phase (1991 - 2002), a takeoff phase (2003 - 2009) and a blooming phase (2010 - 2016); (2) most of the research institutions in this domain are concentrated in the United States, China, Japan and some developed countries in Europe. Chinese research in this area is mainly concentrated in Wuhan university, Chinese academy of science and Dalian university of technology; (3) publications of detecting research fronts mainly focus on the disciplines of Compute Science, Engineering and Information science library science; (4) we find three main academic communities in this domain, and they mainly focus on development and application of methods detecting research fronts; (5) methods detecting research fronts are classified into two categories: citations analysis and topic words analysis; (6) Scientific researchers began to frequently use the database for scientometrics research after 2012 and medical field began to use this approach to understand some of the frontier dynamics in the field in 2014.
VL  - 5
IS  - 5
ER  -

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Author Information

Jianhua Wang

School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
Hong Li

School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

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APA Style

Jianhua Wang, Hong Li. (2017). Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain. International Journal of Economics, Finance and Management Sciences, 5(5), 268-275. https://doi.org/10.11648/j.ijefm.20170505.16

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ACS Style

Jianhua Wang; Hong Li. Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain. Int. J. Econ. Finance Manag. Sci. 2017, 5(5), 268-275. doi: 10.11648/j.ijefm.20170505.16

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AMA Style

Jianhua Wang, Hong Li. Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain. Int J Econ Finance Manag Sci. 2017;5(5):268-275. doi: 10.11648/j.ijefm.20170505.16

Copy | Download

@article{10.11648/j.ijefm.20170505.16,
  author = {Jianhua Wang and Hong Li},
  title = {Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {5},
  number = {5},
  pages = {268-275},
  doi = {10.11648/j.ijefm.20170505.16},
  url = {https://doi.org/10.11648/j.ijefm.20170505.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20170505.16},
  abstract = {To date, very few research has been taken to quantitatively visualize the intellectual evolution of the field of detecting research fronts. Based on literature-searching analysis from the Thomson Reuters Web of Science as well as scientometrics mapping analysis, this important research topic is analyzed by techniques from informetric and bibliometric domains to detect its intellectual structures and dynamics. After data reduction and clean-up, 1841 articles published from 1991 to 2016 are downloaded, and two network analyses are conducted: a bibliometric approach (i.e. co-occurrence and co-citation network) and a complex network approach utilizing Chen’s CiteSpace. Results are illustrated as the following: (1) growth of publications is divided into three stages: a stagnant phase (1991 - 2002), a takeoff phase (2003 - 2009) and a blooming phase (2010 - 2016); (2) most of the research institutions in this domain are concentrated in the United States, China, Japan and some developed countries in Europe. Chinese research in this area is mainly concentrated in Wuhan university, Chinese academy of science and Dalian university of technology; (3) publications of detecting research fronts mainly focus on the disciplines of Compute Science, Engineering and Information science library science; (4) we find three main academic communities in this domain, and they mainly focus on development and application of methods detecting research fronts; (5) methods detecting research fronts are classified into two categories: citations analysis and topic words analysis; (6) Scientific researchers began to frequently use the database for scientometrics research after 2012 and medical field began to use this approach to understand some of the frontier dynamics in the field in 2014.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain
AU  - Jianhua Wang
AU  - Hong Li
Y1  - 2017/10/27
PY  - 2017
N1  - https://doi.org/10.11648/j.ijefm.20170505.16
DO  - 10.11648/j.ijefm.20170505.16
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 268
EP  - 275
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20170505.16
AB  - To date, very few research has been taken to quantitatively visualize the intellectual evolution of the field of detecting research fronts. Based on literature-searching analysis from the Thomson Reuters Web of Science as well as scientometrics mapping analysis, this important research topic is analyzed by techniques from informetric and bibliometric domains to detect its intellectual structures and dynamics. After data reduction and clean-up, 1841 articles published from 1991 to 2016 are downloaded, and two network analyses are conducted: a bibliometric approach (i.e. co-occurrence and co-citation network) and a complex network approach utilizing Chen’s CiteSpace. Results are illustrated as the following: (1) growth of publications is divided into three stages: a stagnant phase (1991 - 2002), a takeoff phase (2003 - 2009) and a blooming phase (2010 - 2016); (2) most of the research institutions in this domain are concentrated in the United States, China, Japan and some developed countries in Europe. Chinese research in this area is mainly concentrated in Wuhan university, Chinese academy of science and Dalian university of technology; (3) publications of detecting research fronts mainly focus on the disciplines of Compute Science, Engineering and Information science library science; (4) we find three main academic communities in this domain, and they mainly focus on development and application of methods detecting research fronts; (5) methods detecting research fronts are classified into two categories: citations analysis and topic words analysis; (6) Scientific researchers began to frequently use the database for scientometrics research after 2012 and medical field began to use this approach to understand some of the frontier dynamics in the field in 2014.
VL  - 5
IS  - 5
ER  -

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