Y
Yongqing Huang
Researcher at Beijing University of Posts and Telecommunications
Publications - 448
Citations - 1872
Yongqing Huang is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Photodetector & Quantum efficiency. The author has an hindex of 20, co-authored 406 publications receiving 1554 citations. Previous affiliations of Yongqing Huang include Peking University.
Papers
More filters
Journal ArticleDOI
Growth of Stacking-Faults-Free Zinc Blende GaAs Nanowires on Si Substrate by Using AlGaAs/GaAs Buffer Layers
TL;DR: Stacking-faults-free zinc blende nanowires were realized by using AlGaAs/GaAs buffer layers and growing under the optimized conditions, that the alloy droplet act as a catalyst rather than an adatom collector and its size and composition would keep stable during growth.
Journal ArticleDOI
Enhanced absorption of graphene strips with a multilayer subwavelength grating structure
TL;DR: In this paper, the optical absorption of graphene strips covered on a multilayer subwavelength grating (MSG) surface is theoretically investigated, which is associated with the combined effects of a guided resonance of MSG and its photonic band gap effect.
Journal ArticleDOI
Any Bias Point Control Technique for Mach–Zehnder Modulator
TL;DR: In this paper, a versatile any point bias control scheme for the Mach-Zehnder modulator is proposed, where the ratio of first-order harmonic and average output power was used as feedback signal.
Journal ArticleDOI
Design and analysis of a dispersion flattened and highly nonlinear photonic crystal fiber with ultralow confinement loss.
TL;DR: A novel and robust design for a photonic crystal fiber with flattened dispersion, a highly nonlinear coefficient, and low confinement loss for its dual concentric core structure is presented.
Journal ArticleDOI
Tracing the Motion of Finger Joints for Gesture Recognition via Sewing RGO-Coated Fibers Onto a Textile Glove
TL;DR: A flexible and low-cost data glove that has been used to monitor the motion of ten finger joints from one hand and accurately realize the static and dynamic gesture recognition via the data glove, respectively.