Papers
1
Total Citations
10
H-Index
1
About
Xuehui Wu is a leading researcher in the fields of industrial robotics, technology innovation, and global competitiveness analysis. Her work is distinguished by its novel application of complex network theory—specifically visibility graph algorithms—to map and evaluate the strategic market layout of emerging technologies. In her most cited study, "Global competitiveness analysis of industrial robot technology innovations market layout using visibility graph" (2022), Wu developed a quantitative framework that transforms patent and innovation data into dynamic network structures, revealing hidden patterns of competitive advantage and technology diffusion across nations. This contribution has been cited 10 times, establishing a foundation for data-driven policy and R&D strategy in automation. Wu’s research uniquely bridges graph theory and economic intelligence, offering actionable insights for stakeholders navigating the rapidly evolving robotics landscape. Her work is particularly notable for shifting the focus from isolated innovation metrics to systemic, relational analyses of technological ecosystems. As a result, Xuehui Wu is recognized as a key voice in understanding how industrial robot innovations shape—and are shaped by—global market forces.
Research Focus
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Top Papers
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