Yide Yuan
Papers
1
Total Citations
10
H-Index
1
About
Yide Yuan is a researcher whose work lies at the intersection of liquid crystal photonics and advanced optical imaging. His primary research areas include electro-optic tunability, birefringence properties of liquid crystals, and their application in edge detection and imaging systems. Yuan’s major contribution is the development of an electrically regulated wedge liquid crystal cell that enables tunable optical edge imaging—a technique crucial for highlighting boundary features in objects, with direct applications in robot vision and high-contrast optical imaging. His most cited paper, "Optical edge imaging based on the birefringence property and electro-optic tunability characteristic of the liquid crystals" (2021), has garnered 10 citations, marking a foundational step in merging liquid crystal physics with real-time imaging technologies. This work demonstrates how the large birefringence of liquid crystals can be dynamically controlled to enhance edge detection without complex computational post-processing. Yuan’s research is notable for its practical approach to simplifying imaging systems, offering a low-power, electrically tunable alternative to traditional edge detection methods. His achievements position him as an emerging voice in the field of adaptive optics and smart imaging, with potential impacts on autonomous systems and biomedical diagnostics.
Research Focus
Key Achievements
Top Papers
- 1