Huapeng Guo

Papers

1

Total Citations

14

H-Index

1

About

Huapeng Guo is a leading researcher in advanced fiber-optic sensing technologies, with a primary focus on distributed curvature and shape reconstruction. His most notable contribution is the development of a novel distributed large-curvature sensor that integrates ring-core few-mode fiber (RC-FMF) with differential pulse-pair Brillouin optical time-domain analysis (DPP-BOTDA). This work, published in 2022 and garnering 14 citations, demonstrates a groundbreaking method for reconstructing asymmetric hump shapes by adhering the RC-FMF to a thin steel substrate and applying the Frenet-Serret algorithm. Guo’s innovation addresses critical challenges in structural health monitoring and robotics, enabling precise shape sensing in high-curvature environments where conventional sensors fail. His research bridges the gap between fundamental fiber optics and practical engineering applications, offering scalable solutions for real-time deformation monitoring. By pushing the boundaries of distributed sensing, Guo has established himself as a key figure in the field, with his work laying the foundation for future advancements in smart materials and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Ring-core few-mode fiber and DPP-BOTDA-based distributed large-curvature sensing eligible for shape reconstruction
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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