肖夏
- 教师拼音名称：XIAO XIA
- 性别：女
- 职称：教授
- 所属院系：微电子学院
- · (SCI 二区) Guancong Liu, Xia Xiao(肖夏)*, Hang Song，Min Lu, Takamaro Kikkawa, An adaptive window-based hybrid artifact removal method for UWB imaging enhancement of early breast cancer detection, Biomedical Signal Processing and Control, 70 , 102980, 2021.
- · (SCI) Guancong Liu, Xia Xiao*, Hang Song, Takamaro Kikkaw, Precise detection of early breast tumor using a novel EEMD-based feature extraction approach by UWB microwave, Medical & Biological Engineering & Computing, 59: 721-731, 2021.
- · (SCI) Qinwei Li, Xia Xiao（肖夏）*, T. Kikkawa, Noninvasive Blood Glucose Level Detection Based on Matrix Pencil Method and Artificial Neural Network, Journal of Electrical Engineering & Technology (JEET)，16(4), 2183-2190, 2021.
- · (SCI) Xia Xiao（肖夏）*, Yu Liu, Hang Song*, Takamaro Kikkawa, Optimal microwave breast imaging using quality metrics and simulated annealing algorithm[J]. International Journal of RF and Microwave Computer-Aided Engineering, 30(10): 1-14, 2020.
- · (SCI) Hui Yang, Xia Xiao(肖夏)*, Hang Song, Field-Circuit Simulation of Electromagnetic Interference and Optimization Design in Vehicle Navigation System, IET Science Measurement & Technology, 2020,14(5), 552-556, 2020.
- · Haiyang Qi, Xia Xiao*, Tao Kong; Influence Factors of Film Adhesion Criterion of the Nondestructive CZM-SAW Technique, Japanese Journal of Applied Physics, 58: 0-SHHG03, 2019. (SCI JCR_Q4)
- · 杨会，宋航，肖夏*, 基于场路仿真的PCIe电磁干扰分析及优化设计, 强激光与粒子术， Vol32，No.4，043202-1, 2020.
- · Qinwei Li, Xia Xiao*, Takamaro Kikkawa, Absorption spectrum for non-invasive blood glucose concentration detection by microwave signals, Journal of Electromagnetic Waves and Applications, 2019, 33(9): 1093-1106. (SCI JCR_Q4)
- · 胡敏，肖夏*，宋航，刘雨, 基于Debye模型的微波无创血糖浓度检测, 激光与光电子学进展, 57(23), P. 230401, 2020.
- · Huiquan Qin, Xia Xiao*, Xiaole Sui, Haiyang Qi; Influence of Residual Stress on the Determination of Young's Modulus for SiO2 Thin Film by the Surface Acoustic Waves, Japanese Journal of Applied Physics, 58: SHHG01, 2019. (SCI JCR_Q4)