Objectives: For this study, we analyzed research trends of community-based occupational therapy in Korea using key word network analysis (KNA). Methods: Our sample was 155 studies in the Journal of the Korean Society of Community-Based Occupational Therapy in Korea. We used key word network analysis (KNA), a method used to examine the flow and trends of research by using key words that represent the core topics of the literature, allowing for the identification of relationships, influence, and importance of key topics in a specific field. The analysis was divided into 2 parts – network distribution and centrality. Indicators for network distribution include average degree, density, mean distance, inclusiveness, and the number of isolated nodes. Network centrality is assessed through degree centrality, betweenness centrality, and eigenvector centrality. Results: The analysis of network distribution indicated that the average degree was 7.064, density was .024 (2.4%), mean distance was 3.195, and there were no isolated nodes. Key words with the highest degree centrality values were occupational therapy, stroke, elderly, quality of life, activity of daily living, and occupational therapist. Key words with the highest betweenness centrality values were occupational therapy, stroke, quality of life, elderly, occupational therapist, and depression. Key words with the highest eigenvector centrality values were curriculum, service provider qualification, sensory integration therapy, sensory developmental rehabilitation, developmental rehabilitation service, and program development. Conclusions: These results have important academic implications regarding the research trend of community-based occupational therapy in Korea. These findings can enhance understanding of community-based occupational therapy and provide guidance for future studies. Particularly, the analysis results of degree centrality and cohesion structure offer insights into various aspects of occupational therapy, facilitating the development of more effective treatment approaches. It is anticipated that these results will contribute to practical value in clinical settings.