A Systematic Review Analysis of Papers from the Web of Science Database Published in English between 2019 and 2023

Authors

  • Dilnoza Turdibekova

    Department of Teaching Theory and Methodology, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Tashkent 100000, Uzbekistan
  • Mukhabbat Ruzmetova

    Department of Teaching Theory and Methodology, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Tashkent 100000, Uzbekistan
  • Boborahim Kanayev

    Department of Teaching Theory and Methodology, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Tashkent 100000, Uzbekistan
  • Nilufar Madaminova

    Department of English Language and Literature, Nukus State Pedagogical Institute Named after Ajiniyaz, Nukus 230100, Uzbekistan
  • Ulug’bek Jabborov

    Department of Science and Innovation, Scientific Research Institute of Gender and Family, Tashkent 100115, Uzbekistan
  • Zayniddin Sharipov

    Department of Managing Engineering Systems, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Tashkent 100000, Uzbekistan
  • Madina Nuriddinova

    Department of English Language and Literature, Gulistan State University, Gulistan 120100, Uzbekistan
  • Jigagul Taspanova

    Interfaculty Department of Foreign Languages, Karakalpak State University, Nukus 230112, Uzbekistan

DOI:

https://doi.org/10.30564/fls.v7i6.9808
Received: 30 April 2025 | Revised: 26 May 2025 | Accepted: 5 June 2025 | Published Online: 13 June 2025

Abstract

This bibliometric analysis investigates research trends in academic writing by examining a corpus of 202 articles published between 2019 and 2023, as indexed in the Web of Science database. The study explores various metrics, including the volume of published research, the most prolific countries, journals, affiliations, and authors, as well as highly cited papers, co-authorship patterns, and keyword trends. The findings are as follows: (1) China consistently held a leading position, with the highest number of publications and research funding organizations throughout the five years. (2) The authors Jian Fu, K. Hyland, and X.F. Lu had the most significant impact on the field, with their contributions constituting approximately 50% of the total publications. (3) These authors were also the most frequently cited, with 207 citations. The Journal of English for Academic Purposes emerged as a predominant venue, publishing 35% of all analyzed papers and leading in publication volume and citation impact. This bibliometric analysis is significant for its comprehensive examination of contemporary research trends in Academic Writing, which emphasises the contributions of key contributors, influential journals, and dominant countries such as China. The study illuminates the primary factors that have influenced academic discourse and knowledge production from 2019 to 2023 by identifying prolific authors and citation patterns. Nonetheless, to further develop technology-based methodologies and innovative approaches, additional comprehensive research is warranted.

Keywords:

Academic Writing; Bibliometric Analysis; Web of Science; Data Analysis; Method Analysis

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How to Cite

Turdibekova, D., Ruzmetova, M., Kanayev, B., Madaminova, N., Jabborov, U., Sharipov, Z., Nuriddinova, M., & Taspanova, J. (2025). A Systematic Review Analysis of Papers from the Web of Science Database Published in English between 2019 and 2023. Forum for Linguistic Studies, 7(6), 910–924. https://doi.org/10.30564/fls.v7i6.9808

Issue

Vol. 7 , Iss. 6 (July 2025)

Article Type

Review

License

Copyright © 2025 Dilnoza Turdibekova, Mukhabbat Ruzmetova, Boborahim Kanayev, Nilufar Madaminova, Ulug’bek Jabborov, Zayniddin Sharipov, Madina Nuriddinova, Jigagul Taspanova Ruzmetova

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.