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Bibliometric and Visual Analysis of the International Research on Dysarthria in Linguistics

Author(s)

Yuqing Liao, Xirui Liu*

Affiliation(s)

School of Foreign Languages, Henan University of Technology, Zhengzhou, Henan 450001, China *Corresponding Author.

Abstract

Dysarthria is a key interdisciplinary research focus in phonetics and medicine, with significant research and application value. Using the bibliometric tools CiteSpace and Bibliometrix, this study analyzes 1,850 dysarthria-related papers from the WOS Core Collection, examining trends and hotspots from 1966 to 2024 from a linguistic perspective and predicting future developments. Key findings include: First, publications on dysarthria in linguistics have steadily increased, with the Journal of Speech, Language, and Hearing Research emerging as a highly cited journal, and Murdoch B.E. and Kent R.D. as influential authors. Second, research focuses primarily on disease types, speech characteristics, and rehabilitation methods. In the last five years, bulbar, deep learning, and speech recognition have become emerging topics. Lastly, the integration of artificial intelligence and big data is suggested for future research to enhance the analysis of patients' speech characteristics and improve rehabilitation technologies.

Keywords

Dysarthria; Citespace; Bibliometrix; Psycholinguistics

References

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