KOREASCHOLAR

Visualising Corpus-based Discourse Studies from 1995 to 2019 by Using a Bibliometric Analysis

Yuping Fu, Yuanzhu Liang, Zongjie Zhang, Yong-cheol Lee
  • 언어ENG
  • URLhttp://db.koreascholar.com/Article/Detail/408393
  • DOIhttps://doi.org/10.15334/FLE.2021.28.2.51
외국어교육
제28권 제2호 (2021.06)
pp.51-84
한국외국어교육학회 (The Korea Association Of Foreign Languages Education)
초록

This study employed a bibliometric method to visualize the evolution of corpus-based discourse studies between 1995 and 2019, with a total of 2,174 English-language documents and their 83,184 references collected from Scopus, the Social Science Citation Index, and the Arts & Humanities Citation Index. Co-citation analysis of the predominant authors, references, and publication sources disclosed that the field has expanded over the past 25 years from primary pattern analysis of descriptive and functional grammar to principal investigations of interdisciplinary issues, some of which are central to pragmatics and sociolinguistics. This shift of research focus is also evidenced by keyword analysis. Scholars have been progressively more fascinated by such social issues as news discourse, business discourse, gender and language, and identity. Some emerging topics like social media, media discourse, legal discourse, and the metadiscourse interpersonal model may represent research hotspots and trends in this area. Bibliometric approaches play an important role in providing hands-on evidence-based comparisons and visualizations of previous research outputs using different time bands.

목차
I. Introduction
II. Literature Review
III. Method
    1. Data Collection
    2. Data Cleaning
3. Data Analysis
IV. Results
    1. Co-citation Analysis
    2. Topic Keyword Analysis
V. Discussion and Conclusion
References
저자
  • Yuping Fu(Hainan Tropical Ocean University) First author
  • Yuanzhu Liang(Hainan Tropical Ocean University) Co-author
  • Zongjie Zhang(Hainan Tropical Ocean University) Co-author
  • Yong-cheol Lee(Cheongju University) Corresponding author