1. Introduction

This chapter introduces the concept of autism spectrum disorder (ASD) and its impact on social communication and behavior. It also discusses the history of autism and its prevalence, as well as the language development challenges faced by children with ASD. Additionally, it highlights the research on language development in autistic children and the potential interventions and technological advancements in this area. The chapter also emphasizes the importance of gaining insights into the nature of autism through the study of language problems in autistic children and the need for a scientometric analysis to identify trends and promising directions for future studies.

2. Data and Methodology

This chapter discusses the use of scientometric techniques, specifically CiteSpace, to analyze the scientific knowledge area on language development in autistic children. It also details the use of the Web of Science database to retrieve relevant data, including the search query and screening process. Additionally, it provides a summary of the data source and parameters used, as well as a visualization of the methodological process of using CiteSpace tools.

3. Visualizing Research Trends in the Scientific Literature

This chapter discusses the research trends in the scientific literature on the topic of language development in autistic children. Visualizing research trends in the scientific literature reveals an increase in publications in diverse research areas, including psychology, behavioral sciences, psychiatry, pediatrics, neurology, linguistics, and sociology. The chapter also presents the knowledge structure through document co-citation analysis, identifying significant clusters and research topics in the field. The most significant clusters include expressive language abilities, later expressive language, early autism intervention, linguistic markers, and the impact of bilingualism on language acquisition. The chapter also highlights influential articles that serve as connections between clusters or alter the trajectory of research, indicating the significance of research on the Diagnostic and Statistical Manual of Mental Disorders and the effects of bilingualism on autism.

4. Future Directions: Emerging Trend Analysis

This chapter describes the emerging trends in autism research related to language development in autistic children. It discusses the use of advanced technology in speech therapy and research, as well as the varying levels of language differences across different language skills. The chapter also highlights the effectiveness of different interventions for improving language outcomes in autistic children. Additionally, it emphasizes the importance of developing sound and objective measurements for evaluating language ability and the need for long-term effectiveness and low-cost intervention programs. Furthermore, it addresses the shift of scholars' attention to bi- and multilingualism effects on cognitive abilities of autistic children and the impact of cultural backgrounds on language characteristics, concluding with a call for more multidimensional and interdisciplinary research as well as a combination of qualitative and quantitative studies in understanding and addressing language development issues in autistic children.

5. Concluding Remarks

The study outlines the research landscape of language development in autistic children, addressing themes like speech behavior, conversational ability, and cognitive disorder. Seven main research clusters were identified, along with research hotspots such as language disorder diagnosis, intervention, social communication, and the process of language acquisition. Existing research has issues that need further investigation, such as small sample sizes and a lack of cross-cultural comparative studies. The interdisciplinary research on language development in autistic children needs to be enhanced. The study contributes valuable references for autism researchers and practitioners and recommends future studies to broaden search criteria, expand data size, and delve deeper into approaches to language rehabilitation and treatment. Other visualization tools like VOSviewer, SciMAT, and Gephi can complement current research findings. It is important to notice individual differences across diverse contexts, and further in-depth studies are expected to be conducted in China.