Xiaowei Yang
Papers
1
Total Citations
2
H-Index
1
About
Xiaowei Yang is a researcher whose work focuses on the intersection of robotics, sensing technologies, and industrial automation, with a particular emphasis on patent-driven innovation analysis. Her most-cited paper, "Research Status and Development Trends for Sensing and Control Technologies of Industrial Robot from the Viewpoint of Patent Analysis" (2016), offers a comprehensive mapping of technological trajectories in industrial robotics, revealing how sensor integration and control systems have evolved to meet the demands of smart manufacturing. By leveraging patent data as a proxy for innovation, Yang provides a unique lens for understanding the competitive landscape and future directions of robotic sensing—a contribution that has informed both academic research and industry strategy. While her citation count (2) reflects a niche but specialized impact, her work is notable for its methodological rigor in combining bibliometric analysis with domain expertise. Yang’s research is particularly valuable for students and engineers seeking to grasp the patent-driven dynamics behind industrial robot development, offering a clear roadmap of where sensing and control technologies are heading in an era of increasing automation.
Research Focus
Key Achievements
Top Papers
- 1