[2025] 발달장애인을 위한 자연어처리 인공지능 - 보조공학적 필요성과 가능성. (2025). 성신여대 인문과학연구소. 25

[2024] Kim, S. W., Lee, H., Song, D. Y., Lee, G. H., Ji, J., Park, J. W., ... & An, J. Y. (2024). Whole genome sequencing analysis identifies sex differences of familial pattern contributing to phenotypic diversity in autism. Genome Medicine, 16(1), 114.

[2024] Manning, B. L., Hosseini, K., Yang, E., Buzzell, G. A., Landi, N., & Kim, S. H. (2024). Neural Processing of Speech Sounds in Autistic Kindergarteners as a Predictor of Reading Outcomes. Journal of Autism and Developmental Disorders, 1-18.

[2024] Kniola, A., Ludwig, N. N., Singh, V., Bradley, C., Carpenter, L., Dillon, E. F., ... & Wodka, E. L. (2024). Delayed Milestones and Demographic Factors Relate to the Accuracy of Autism Screening in Females Using Spoken Language. Journal of Autism and Developmental Disorders, 1-13.

[2024] Wright, J. R., Astrovskaya, I., Barns, S. D., Goler, A., Zhou, X., Shu, C., ... & Edmonson, C. (2024). Return of genetic research results in 21,532 individuals with autism. Genetics in medicine, 26(10), 101202.

[2024] Kang, J. C., Chi, S., Mok, Y. E., Kim, J. A., Kim, S. H., & Lee, M. S. (2024). Diffusion indices alteration in major white matter tracts of children with tic disorder using TRACULA. Journal of Neurodevelopmental Disorders, 16(1), 40.

[2024] Swain, D., Li, Y., Brown, H. R., Petkova, E., Lord, C., Rogers, S. J., ... & Kim, S. H. (2024). Implementing a Uniform Outcome Measurement Approach for Early Interventions of Autism Spectrum Disorders. Journal of the American Academy of Child & Adolescent Psychiatry.

[2024] Brown, H., Swain, D., Kim, H. W., Rogers, S., Estes, A., Kasari, C., ... & Kim, S. H. (2025). Examining variability in Naturalistic Developmental Behavioral Intervention strategy use in caregivers of children with autism spectrum disorders. Journal of Child Psychology and Psychiatry, 66(1), 4-15.

[2024] 국내 장애정도 판정기준 개선을 위한 고찰: 발달장애(지적장애 및 자폐성장애) 중심으로 (2024). 한국심리학회지 : 임상심리 연구와 실제. 10(4).

[2023] Chung, W., and 90 authors [including Kim, S.H.] (2023). Integrated analysis of 10,242 individuals with autism recruited online identifies new autism risk genes and highlights the contribution of de novo and inherited variants. Nature Genetics.