Xinzhi Sheng
Papers
3
Total Citations
35
H-Index
2
About
Xinzhi Sheng is a rising leader in the field of optical fiber sensing, with a focus on developing high-performance sensors for measuring physical parameters like bending and torsion. Sheng’s major contributions lie in the design and experimental demonstration of novel sensor architectures that achieve exceptional sensitivity and vector measurement capabilities. Their most-cited work introduces a machine-learning-assisted omnidirectional bending sensor based on cascaded asymmetric dual-core photonic crystal fibers, achieving 17 citations for its innovative approach to complex deformation monitoring. Another highly influential paper, with 16 citations, presents a high-sensitivity vector torsion sensor using a single stress-applying fiber Sagnac interferometer, enabling precise directional twist detection. Most recently, Sheng has advanced the field with a new method for fast spectral demodulation of wide-measurement-range torsion sensors, combining Fast Fourier transform and support vector regression algorithms to dramatically speed up data processing. This work, published in 2025, demonstrates Sheng’s commitment to bridging cutting-edge machine learning with practical sensing solutions. With a growing citation record and a clear trajectory toward smarter, more efficient optical sensors, Sheng is establishing a reputation for innovation at the intersection of photonics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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