Zhong Wu

Shanghai University of International Business and Economics

Papers

Total Citations

H-Index

About

Zhong Wu is a researcher whose work sits at the intersection of innovation economics and technological competitiveness, with a particular focus on industrial robotics and market intelligence. Wu’s most-cited paper, "Global competitiveness analysis of industrial robot technology innovations market layout using visibility graph" (2022), introduces a novel application of visibility graph theory to map and analyze the global landscape of robot technology patents and market strategies. This contribution offers a powerful framework for understanding how nations and firms position themselves in the rapidly evolving robotics sector, blending network science with strategic analysis. With 10 citations, this work has already attracted attention from scholars in innovation studies and technology management. Wu’s research is notable for its methodological creativity—translating complex patent data into actionable insights for policymakers and industry leaders. By quantifying competitive dynamics in the robotics market, Wu provides a data-driven lens for anticipating technological shifts and investment opportunities. This work stands as a valuable resource for students and researchers exploring the interplay between innovation, market structure, and global competitiveness in emerging technologies.