Papers
3
Total Citations
142
H-Index
3
About
Xingda Song is a pioneering researcher in the field of optical micro/nanofiber sensors, with a focus on advancing human–machine interfaces, healthcare monitoring, and intelligent robotics. His major contributions include the development of a single optical microfiber tactile sensor capable of simultaneously measuring temperature and pressure (91 citations), a dual-modal sensor inspired by human skin for detecting both proximity and contact (45 citations), and a twisted optical micro/nanofiber sensor for detecting subtle temperature variations (6 citations). Song’s work leverages the engineerable waveguiding properties of optical microfibers to create flexible, miniaturized, and highly sensitive devices. His research has significant implications for applications ranging from tumor monitoring and microfluidics to robotic tactile sensing. Notably, his 2022 papers have garnered substantial attention, reflecting the impact of his innovations in enabling more intuitive and responsive human–machine interactions. Song’s achievements mark him as a key contributor to the next generation of smart sensing technologies.
Research Focus
Key Achievements
Top Papers
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