Research status and development trend of multimodal technology in China:Visual analysis based on CiteSpace
With the advancement of deep learning and natural language processing techniques,multimodal technology has found widespread applications in daily life.This paper employs CiteSpace software to examine the research trends of multimodal technology over the past decade,based on the China National Knowledge Infrastructure(CNKI)database,providing valuable research insights for scholars in the field.This paper selected and analyzed 1 027 relevant journal articles.The analysis reveals that the number of publications on multimodal technology has been increasing,reflecting sustained interest in this field.Additionally,research hotspots include image fusion and visual question answering,with applications in medical imaging and social interaction.Future developments in multimodal technology are likely to focus on areas such as physiological signal processing and autonomous driving.
万方数据
维普
