Papers
1
Total Citations
12
H-Index
1
About
Yina Hai is a leading researcher in micro-electromechanical systems (MEMS), specializing in advanced thermal flow sensor technologies. Her work focuses on the fabrication and characterization of innovative sensor arrays that enable precise two-dimensional gas-flow vector detection, critical for applications in wind energy, hazardous chemical detection, automotive systems, robotics, and unmanned aerial vehicles. Her most-cited paper, "Fabrication and Characterization of Dual Coordinate Self Examined Thermal Flow Sensor Arrays Based on Longitudinal Heat Conduction" (2019), has garnered 12 citations and introduces a novel dual-coordinate self-examination mechanism, significantly enhancing sensor accuracy and reliability. This contribution addresses the growing demand for robust, high-performance sensors in dynamic environments. Hai’s research advances the practical deployment of thermal flow sensors, offering solutions for real-time environmental monitoring and autonomous system navigation. Her work stands out for its integration of longitudinal heat conduction principles, pushing the boundaries of sensor miniaturization and vector measurement capability. With a focus on scalable fabrication, Hai’s contributions are paving the way for next-generation intelligent sensing systems.
Research Focus
Key Achievements
Top Papers
- 1