Papers

3

Total Citations

35

H-Index

2

About

Xinyong Dong is a leading figure in advanced optical fiber sensing, whose work is redefining the limits of distributed measurement and structural health monitoring. His primary research focuses on Brillouin-based distributed sensors and few-mode fiber (FMF) technologies, where he has engineered groundbreaking solutions for curvature and shape reconstruction. Dong’s most-cited paper (19 citations) introduces a bending-loss-resistant distributed Brillouin curvature sensor using an erbium-doped few-mode fiber, a clever design that compensates for optical loss to enable precise radius measurements. He further advanced the field with a ring-core FMF sensor (14 citations) capable of distributed large-curvature sensing, successfully reconstructing complex 3D shapes via the Frenet-Serret algorithm—a major step toward real-time structural shape monitoring. Demonstrating remarkable versatility, Dong has also ventured into optoelectronics with a 2025 study on self-driven full-Stokes photodetection in optically active ferroelectrics. With a career spanning over a decade of high-impact contributions, his work is essential reading for researchers in photonics and smart infrastructure, offering practical pathways for integrating distributed sensing into robotics and civil engineering.

Research Focus

Key Achievements

2
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Bending-loss-resistant distributed Brillouin curvature sensor based on an erbium-doped few-mode fiber
19 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Guangdong University of Technology, Fujian Institute of Research on the Structure of Matter

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago