Dynamic Visual Analysis of Children’s Speech-Language Disorders Based on CiteSpace
|更新时间:2023-08-07
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Dynamic Visual Analysis of Children’s Speech-Language Disorders Based on CiteSpace
Issue 1, Pages: 105-108(2023)
作者机构:
东北师范大学文学院
作者简介:
基金信息:
DOI:
CLC:R767.92
Published:2023,
稿件说明:
移动端阅览
PANG JIA-XIN, MENG DE-LING, HU XUE-CHAN. Dynamic Visual Analysis of Children’s Speech-Language Disorders Based on CiteSpace. [J]. 2023, (1): 105-108.
DOI:
PANG JIA-XIN, MENG DE-LING, HU XUE-CHAN. Dynamic Visual Analysis of Children’s Speech-Language Disorders Based on CiteSpace. [J]. 2023, (1): 105-108.DOI:
Dynamic Visual Analysis of Children’s Speech-Language Disorders Based on CiteSpace
Objective To grasp the research hotspots and methods of children’s speech and language disorders in China in the past 30 years. Methods The literature related to children’s speech and language disorders from 1990 to 2021 was searched in CNKI database
and the visual analysis tool CiteSpace was used to present the knowledge graph of keyword co-occurrence
institutional cooperation
main authors
and development process. Results Key words with high frequenly are autistic children and hearing impaired children. The most active institution is the China Rehabilitation Research Center for Hearing and Speech Impairment. Main authors are Sun Xibin and Liang Wei
with the highest number of articles published which is 24. "Cluster #0" hearing-impaired children and "cluster #1" autistic children cover the time span from 1990 to 2021
and are the largest subjects. Conclusion At present
the research results are fruitful
and the cooperation between relevant research institutions is getting closer and closer. With the deepening of the research on speech and language disorders in children in China
it is still necessary to strengthen professional
standardized and personalized research
improve the quality of speech therapy.
关键词
儿童言语语言障碍热点分析可视化分析
Keywords
Speech-language Disorders in ChildrenHot Spot AnalysisVisual Analytics