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Li-Yang Shao

Researcher at Southern University of Science and Technology

Publications -  246
Citations -  5836

Li-Yang Shao is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Fiber Bragg grating & Optical fiber. The author has an hindex of 36, co-authored 213 publications receiving 4416 citations. Previous affiliations of Li-Yang Shao include Southwest Jiaotong University & Carleton University.

Papers
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Tilted fiber Bragg grating sensors

TL;DR: In this paper, a tilt of the grating fringes causes coupling of the optical power from the core mode into a multitude of cladding modes, each with its own wavevector and mode field shape.
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Pressure sensor realized with polarization-maintaining photonic crystal fiber-based Sagnac interferometer.

TL;DR: A novel intrinsic fiber optic pressure sensor realized with a polarization-maintaining photonic crystal fiber (PM-PCF) based Sagnac interferometer is proposed and demonstrated experimentally.
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Fiber-taper seeded long-period grating pair as a highly sensitive refractive-index sensor

TL;DR: In this paper, the fabrication and characterization of a highly sensitive refractive index sensor based on a long-period grating (LPG) pair with a fiber-taper section in between was reported.
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Sensitivity-enhanced temperature sensor with cascaded fiber optic Sagnac interferometers based on Vernier-effect

TL;DR: In this paper, a novel fiber optic temperature sensor has been proposed and experimentally demonstrated with ~9 times sensitivity enhancement by using two cascaded Sagnac interferometers, which consist of the same type of polarization maintaining fibers with slightly different lengths.
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High resolution interrogation of tilted fiber grating SPR sensors from polarization properties measurement

TL;DR: The Jones matrix associated to the TFBG transmission properties is measured in order to be able to analyze different polarization-related parameters (i.e. dependency on wavelength of polarization dependent loss and first Stokes parameter) and the maximum error on refractive index measurement has been determined to be 5 times better than intensity-based measurements on the same sensors.