Papers
1
Total Citations
1
H-Index
1
About
Linqi Cheng is a rising researcher in the field of optical fiber sensing, with a focus on distributed curvature measurement and shape reconstruction technologies. Their most-cited work introduces a fast algorithm for distributed curvature sensing based on optical frequency domain reflectometry (OFDR) and helical weak gratings fiber bundles—a method critical for real-time, high-precision shape monitoring in applications like aerospace landing gear, precision medical interventions, and soft robotics. By addressing the challenge of accurate curvature extraction, Cheng’s contribution enables more responsive and reliable shape sensing systems. Though early in their career, with their top paper accumulating 1 citation, the work has already demonstrated practical relevance in a rapidly growing domain. Cheng’s research bridges the gap between advanced fiber optic techniques and real-world engineering needs, positioning them as a promising innovator in smart sensing and structural health monitoring. Their ongoing efforts continue to push the boundaries of distributed sensing, aiming to make shape-aware technologies faster, more accurate, and more accessible for critical industries.
Research Focus
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Top Papers
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