An Improved Predictive Current Control Scheme for Three-phase Voltage Source Converters. - Meng Wang 010; Yanyan Shi (J. Circuits Syst. Comput., 2016)

Synchronous Flux Weakening Control With Flux Linkage Prediction for Doubly-Fed Wind Power Generation Systems. - Meng Wang 010; Yanyan Shi; Zhenyang Zhang; Minghui Shen; Yaying Lu (IEEE Access, 2017)

Efficient magnetic resonant coupling wireless power transfer with a novel conical-helix resonator. - Yanyan Shi; Jie Liang; Meng Wang 010; Zhenyang Zhang (IEICE Electron. Express, 2017)

A three-vector-based direct power control strategy for three-phase voltage source PWM converters. - Meng Wang 010; Yanyan Shi; Mingyan Qi; Minghui Shen (Int. J. Circuit Theory Appl., 2017)

Design and optimization of hybrid resonant loops for efficient wireless power transfer. - Meng Wang 010; Yanyan Shi; Weikang Gao; Minghui Shen; Mingsheng Shen (Int. J. Circuit Theory Appl., 2018)

Demagnetization Weakening and Magnetic Field Concentration With Ferrite Core Characterization for Efficient Wireless Power Transfer. - Meng Wang 010; Jing Feng; Yanyan Shi; Minghui Shen (IEEE Trans. Ind. Electron., 2019)

A modified sliding-mode controller-based mode predictive control strategy for three-phase rectifier. - Meng Wang 010; Haoran Wang; Yanyan Shi; Minghui Shen; Jian Song (Int. J. Circuit Theory Appl., 2020)

Development of a novel spindle-shaped coil-based wireless power transfer system for frequency splitting elimination. - Meng Wang 010; Chuang Zhou; Yanyan Shi; Minghui Shen; Jing Feng (Int. J. Circuit Theory Appl., 2020)

Total Variation Regularization Based on Iteratively Reweighted Least-Squares Method for Electrical Resistance Tomography. - Yanyan Shi; Zuguang Rao; Can Wang; Yue Fan; Xinsong Zhang; Meng Wang 010 (IEEE Trans. Instrum. Meas., 2020)

Operating characteristics of four-coil magnetic resonant coupling wireless power transfer under different resonant states. - Meng Wang 010; Haoran Wang; Yiming Zhang; Yanyan Shi; Lan Yang (Int. J. Circuit Theory Appl., 2021)

A two-stage image reconstruction strategy for electrical impedance tomography. - Yanyan Shi; Xiaolong Kong; Meng Wang 010; Feng Fu; Yajun Lou (Trans. Inst. Meas. Control, 2021)

Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography. - Yanyan Shi; Zhiwei Tian; Meng Wang 010; Zuguang Rao; Feng Fu (Int. J. Imaging Syst. Technol., 2022)

Residual Convolutional Neural Network-Based Stroke Classification With Electrical Impedance Tomography. - Yanyan Shi; Zhiwei Tian; Meng Wang 010; Yuehui Wu; Bin Yang 032; Feng Fu (IEEE Trans. Instrum. Meas., 2022)

Image Reconstruction of Conductivity Distribution With Combined L1-Norm Fidelity and Hybrid Total Variation Penalty. - Yanyan Shi; Yuehui Wu; Meng Wang 010; Zuguang Rao; Bin Yang 032; Feng Fu; Yajun Lou (IEEE Trans. Instrum. Meas., 2022)

Enhancement of robustness to frequency detuning with wireless power transfer based on Van der Pol resonance. - Meng Wang 010; Guangcheng Song; Yanyan Shi; Renliang Yin (Int. J. Circuit Theory Appl., 2022)

Classification of Hemorrhage Using Priori Information of Electrode Arrangement With Electrical Impedance Tomography. - Zhiwei Tian; Yanyan Shi; Can Wang; Meng Wang 010; Ke Shen (IEEE Access, 2023)

Intracerebral Hemorrhage Imaging Based on Hybrid Deep Learning With Electrical Impedance Tomography. - Yanyan Shi; Yuehui Wu; Meng Wang 010; Zhiwei Tian; Feng Fu (IEEE Trans. Instrum. Meas., 2023)

A four-coil structure wireless power transfer system with constant current and constant voltage charging: Analysis, design, and experiment. - Lin Yang 005; Xinyuan Yu; Yanyan Shi; Meng Wang 010 (Int. J. Circuit Theory Appl., 2023)

Frequency offset suppression method for wireless power transfer based on nonlinear resonant network. - Meng Wang 010; Renliang Yin; Yanyan Shi; Guangcheng Song; Lin Yang 005 (Int. J. Circuit Theory Appl., 2023)

Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography. - Yanyan Shi; Zhang Yuhang; Meng Wang 010; Gao Zhen; Dai Meng; Feng Fu (Int. J. Imaging Syst. Technol., 2023)

A metamaterial-incorporated wireless power transmission system for efficiency enhancement. - Meng Wang 010; Jingjing Guo; Yanyan Shi; Mengmeng Wang; Guangcheng Song; Renliang Yin (Int. J. Circuit Theory Appl., 2023)

A fully connected neural Network-based voltage compensation method for accurate reconstruction in brain electrical impedance tomography. - Yanyan Shi; Yating Li; Feng Fu; Meng Wang 010; Bin Yang 032; Yajun Lou; Zhiwei Tian (Biomed. Signal Process. Control., 2023)

Reconstruction of conductivity distribution variation with Tikhonov and wavelet frame combined method for electrical impedance tomography. - Yanyan Shi; Yuhang Zhang; Meng Wang 010; Yajun Lou; Shuo Zheng (Trans. Inst. Meas. Control, 2023)

Design of new metamaterial with negative permeability for efficient wireless power transfer. - Meng Wang 010; Mengmeng Wang; Yanyan Shi; Jingjing Guo; Guangcheng Song; Renliang Yin (Int. J. Circuit Theory Appl., 2023)

Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography. - Yanyan Shi; Yajun Lou; Meng Wang 010; Ke Yang; Zhen Gao; Feng Fu (IEEE Trans. Computational Imaging, 2024)

A Metaheuristic-Based Conductivity Distribution Optimization Method for Accurate Imaging in Electrical Impedance Tomography. - Yanyan Shi; Yan Cui; Meng Wang 010; Zhenkun Liu; Feng Fu (Int. J. Imaging Syst. Technol., 2025)

An Attention-Based Deep Convolutional Neural Network for Brain Imaging With Electrical Impedance Tomography. - Yajun Lou; Ke Yang; Yanyan Shi; Meng Wang 010; Xiaofei Jin; Lu Zhou; Zhiyu Qian (IEEE Trans. Instrum. Meas., 2025)

Correction of Failure Data Under Electrode Disconnection for Accurate Electrical Impedance Tomography. - Yanyan Shi; Luanjun Wang; Meng Wang 010; Bin Yang 032; Meng Dai; Feng Fu (IEEE Trans. Instrum. Meas., 2025)

Information Enhancement With Multilayer Convolutional Neural Network for Accurate Lung Imaging. - Yanyan Shi; Luanjun Wang; Meng Wang 010; Xinwei Yang; Zhiwei Tian; Feng Fu (IEEE Internet Things J., 2025)