Haixia Gu

Papers

1

Total Citations

20

H-Index

1

About

Haixia Gu is a researcher whose work lies at the intersection of radiation safety, robotics, and path optimization. Her most cited paper, "A radiation avoiding algorithm of path optimization for radiation protection of workers and robots" (2019), with 20 citations, introduces a novel algorithm designed to minimize radiation exposure for both human workers and autonomous robots in hazardous environments. This contribution is critical for industries such as nuclear decommissioning and medical radiology, where efficient, safe navigation is paramount. Gu’s research addresses a pressing need: balancing operational efficiency with stringent safety protocols, offering a computational framework that reduces dose accumulation while maintaining task completion. Her work demonstrates a clear impact on occupational health and robotics, providing a foundation for future studies in autonomous systems and radiation protection. By integrating algorithmic design with real-world safety challenges, Haixia Gu has carved a niche that bridges engineering and public health, making her research highly relevant for students and professionals alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A radiation avoiding algorithm of path optimization for radiation protection of workers and robots
20 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago