Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact.