S
Shuisheng Jian
Researcher at Beijing Jiaotong University
Publications - 482
Citations - 4402
Shuisheng Jian is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Fiber Bragg grating & Optical fiber. The author has an hindex of 29, co-authored 482 publications receiving 3585 citations.
Papers
More filters
Journal ArticleDOI
Directional energy focusing on monolayer graphene coupling system
TL;DR: In this paper, a directional energy focusing system based on parallel-monolayer graphene sheets is proposed and analytically and numerically investigated, and the authors obtain a 0.8-nm-size focusing point at desired positions with energy enhancement factor of over 2410.
Journal ArticleDOI
Analytical theory of pulse broadening due to polarization mode dispersion and polarization-dependent loss
TL;DR: In this paper, the interaction of polarization mode dispersion (PMD) with polarization-dependent loss (PDL) and their combined effects on pulse broadening are investigated in detail, and the relation between PMD vector and PDL vector in optical links is described analytically.
Journal ArticleDOI
Plasmon-phonon-polariton modes and field enhancement in graphene-coated hexagon boron nitride nanowire pairs
TL;DR: The results of numerical calculation show that SPP-PHP-GHNP mode 0 owns the strongest confinement and lowest loss among the lowest 5 order modes of SPP/PHP/GHNP.
Journal ArticleDOI
Simultaneous measurement of magnetic field and temperature based on NCF cascaded with ECSF in fiber loop mirror
TL;DR: In this article, a dual-parameter sensor based on no-core fiber (NCF) cascaded with elliptical-core spun fiber (ECSF) in a Sagnac loop was proposed and experimentally demonstrated.
Journal ArticleDOI
Nanofocusing of hybrid plasmons-phonons-polaritons in a graphene-hexagonal boron nitride heterostructure.
TL;DR: The nanofocusing of hybrid plasmons-phonons-polaritons (SPP-HPhPs) in a graphene-hexagonal boron nitride heterostructure with a graphene coating on a tapered h-BN slab exhibits much smaller losses, which is validated through both analytical and numerical methods.