Advances in Autism: a bibliometric analysis.

IF 2 Q3 PSYCHOLOGY, CLINICAL Health Psychology Research Pub Date : 2024-11-23 eCollection Date: 2024-01-01 DOI:10.52965/001c.125844
Mehreen Chowdhury, Murdoc Gould, Latha Ganti
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引用次数: 0

Abstract

This paper provides a comprehensive overview of AI treatment research for Autism Spectrum Disorder (ASD) from 2007 to 2023, focusing on global contributions across countries, institutions, authors, and keywords. The United States leads with 164 documents and 4988 citations, highlighting its central role in advancing AI technologies for ASD therapies, followed by significant contributions from China (90 documents, 1190 citations) and India (65 documents, 564 citations). Institutions like Stanford University and McGill University demonstrate substantial research output, while authors such as Dennis Wall are prominent with contributions that make diagnosing Autism much more efficient with the use of AI. Keywords like "Machine learning", "Autism spectrum disorder", and "Children" dominate, reflecting ongoing efforts to leverage technology for ASD interventions. Overall, this analysis underscores a dynamic global effort to enhance ASD treatment methodologies through collaborative research and technological innovations.

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自闭症研究进展:文献计量学分析。
本文对2007年至2023年人工智能治疗自闭症谱系障碍(ASD)的研究进行了全面综述,重点介绍了各国、机构、作者和关键词的全球贡献。美国以164篇文献和4988次引用领先,突出了其在推进人工智能技术用于ASD治疗方面的核心作用,其次是中国(90篇文献,1190次引用)和印度(65篇文献,564次引用)。斯坦福大学(Stanford University)和麦吉尔大学(McGill University)等机构展示了大量的研究成果,而丹尼斯·沃尔(Dennis Wall)等作者的杰出贡献是,利用人工智能提高了自闭症诊断的效率。“机器学习”、“自闭症谱系障碍”和“儿童”等关键词占据主导地位,反映了利用技术干预自闭症谱系障碍的持续努力。总的来说,这一分析强调了通过合作研究和技术创新来加强ASD治疗方法的全球努力。
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来源期刊
Health Psychology Research
Health Psychology Research PSYCHOLOGY, CLINICAL-
CiteScore
2.90
自引率
0.00%
发文量
63
审稿时长
15 weeks
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