The Current Research Landscape on the Machine Learning Application in Autism Spectrum Disorder: A Bibliometric Analysis From 1999 to 2023
Cooperation and communication between countries/regions need to be enhanced in future research. A shift is taking place in the research hotspot from "Alzheimer's Disease", "Mild Cognitive Impairment" and "cortex" to "artificial intelligence", "deep learning", "electroencephalography" and "pediatrics". Crowdsourcing machine learning applications and electroencephalography for ASD diagnosis should be the future development direction. Future research about these hot topics would promote understanding in this field.
Authors
- Sixin Li (ORCID: https://orcid.org/0000-0001-9866-411X)
- Hui Cao (ORCID: https://orcid.org/0000-0002-0584-4734)
- Huiwen Qiu
- Xi Chen (ORCID: https://orcid.org/0000-0002-6922-2838)
- Qian Zhang (ORCID: https://orcid.org/0000-0003-1494-2560)
- Xinyu Li (ORCID: https://orcid.org/0000-0002-3828-0971)
- Ying Liu (ORCID: https://orcid.org/0000-0002-6504-6128)
- Wei Huang (ORCID: https://orcid.org/0000-0002-1941-6386)
- Changlong Bi (ORCID: https://orcid.org/0000-0002-3621-6685)
- Caijuan Xu
- Rongrong Tan
Institutions
- Central South University (CN)
- Hunan University of Traditional Chinese Medicine (CN)
- Second People Hospital of Hunan (CN)
- National Clinical Research (US)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- Current Neuropharmacology
- Published
- 2025-03-27
- DOI
- https://doi.org/10.2174/011570159x332833241222191422
- Citations
- 1
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 1.43