Xuehui Wang
Papers
3
Total Citations
14
H-Index
3
About
Xuehui Wang is a multidisciplinary researcher whose work spans robotic surgery, nanophotonics, and computer vision. Her most cited study, a 2023 cross-sectional survey on the cleaning and sterilization of da Vinci surgical instruments, addresses a critical gap in the safe adoption of robotic-assisted surgery in China, reflecting her commitment to bridging engineering and clinical practice. In nanophotonics, Wang explores the thermal effects on plasmonic optical tweezers, demonstrating how heat generation impacts nanoparticle capture stability—a key challenge for applications in nanomedicine and biosensing. Her 2024 paper on this topic has already garnered attention for its practical insights. Wang also contributes to computer vision with her 2021 work on Edge-guided GAN, a generative adversarial network that uses edge information to inpaint depth images with large missing regions, outperforming traditional methods. This innovation has applications in robotics and 3D reconstruction. With a growing citation record and a portfolio that combines theoretical depth with real-world problem-solving, Wang exemplifies the kind of cross-disciplinary thinking that drives modern engineering forward.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3