Bibliometric Analysis of the International Language Testing Research Through WOS Databases (2000-2020)

  • Feng Y
  • Han J
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Abstract

This is an open access article distributed under the CC BY-NC 4.0 license-http://creativecommons.org/licenses/by-nc/4.0/. ABSTRACT In order to further investigate the development process of higher engineering education, sort out and summarize the research status and cutting-edge perspectives, this work presented a bibliometric analysis on the 1830 published papers from 2011 to 2020 on the journal Research in Higher Education of Engineering (in Chinese) using CiteSpace software. The main outputs of this work lie in the knowledge maps including the author cooperation network, institutional cooperation network, theme word co-occurrence network, emergent analysis, etc. The results showed that 1) the authors have close cooperation and exchanges, and have formed a "leader + backbone" research team, and 2) the cooperation between institutions is relatively extensive but the cooperation between institutions need to be further strengthened. In the engineering education and higher engineering education, there are many hot topics that have been generated. In this context, to identify the biggest emerging keywords of new engineering is of contribution to understanding the most important hot and frontier topics in the field of higher engineering education in the future.

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APA

Feng, Y., & Han, J. (2022). Bibliometric Analysis of the International Language Testing Research Through WOS Databases (2000-2020). In Proceedings of the 8th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2021) (Vol. 652). Atlantis Press. https://doi.org/10.2991/assehr.k.220306.012

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