Abstract:As the complexity of knowledge creation increases, international scientific research cooperation has become an important means of producing high-quality papers, solving complex scientific problems, and enhancing research performance. However, few studies have explored the impact of individual scientific mobility on research performance from the perspective of the characteristics of scientific cooperation networks. Therefore, based on the "World's Most Influential AI Scholars (AI 2000)" released by AMiner, established by the Department of Computer Science and Technology at Tsinghua University, this study takes 172 scholars in the two sub-fields of speech recognition and human-computer interaction in the field of artificial intelligence as the research objects, and explores the impact of scholars' scientific research mobility on their academic influence, using the network scale and network density of the scientific research cooperation network as the cooperation measurement. By the mediation model and the Sobel test, the mediating effect of scholars' scientific research cooperation in the relationship between scientific research mobility and academic influence is analyzed. The results show that: in the field of artificial intelligence, leading scholars tend to exhibit low mobility during their educational stages, with many completing their undergraduate to doctoral studies at the same institution. Scholars' research mobility influences the network characteristics of their individual cooperation networks. The research mobility experience of scholars will also affect the academic influence of scholars. The network size and density of scholars' research cooperation networks play a certain mediating effect in the relationship between scholars' mobility and academic performance. Furthermore, corresponding suggestions are put forward for scholars from academically developed countries and those from relatively less developed academic regions.