Name
Affiliation
Papers
CHENGXIONG MAO
Huazhong University of Science and Technology, Wuhan, China
21
Collaborators
Citations 
PageRank 
73
19
11.90
Referers 
Referees 
References 
67
188
66
Search Limit
100188
Title
Citations
PageRank
Year
A Novel Suppression Method for Grounding Transformer Against Earth Current From Urban Rail Transit00.342021
Design and Field Application of Flexible Excitation System Damping Controllers00.342021
Design and Implementation of Multi-port Energy Routers Towards Future Energy Internet00.342020
An Ac-Dc Hybrid Multi-Port Energy Router With Coordinated Control And Energy Management Strategies00.342019
Individual DC Voltage Balance Control for Cascaded H-Bridge Electronic Power Transformer With Separated DC-Link Topology.00.342019
A novel impedance compensation algorithm for improving the stability of digital-physical hybrid simulation00.342017
Optimal Design And Implementation Of High-Voltage High-Power Silicon Steel Core Medium-Frequency Transformer00.342017
Development of an open multifunctional experimental-teaching system for electric power engineering program.00.342017
A DC component elimination control strategy for the interface system of digital-physical hybrid real-time simulation00.342017
A 10-Kv/400-V 500-Kva Electronic Power Transformer10.352016
Design And Implementation Of Voltage Source Converter Excitation System To Improve Power System Stability00.342015
400 V/1000 kVA Hybrid Automatic Transfer Switch00.342013
Design and implementation of a dual PWM frequency converter used in beam pumping unit for energy saving00.342013
Design and Implementation of an Energy Feedback Digital Device Used in Elevator50.652011
Optimal Reactive Power Dispatch Using Particle Swarms Optimization Algorithm Based Pareto Optimal Set40.712009
Research on Multi-Agent Parallel Computing Model of Hydrothermal Economic Dispatch in Power System00.342009
Two-Phase Dynamic Reactive Power Optimization Based on Improved Genetic Algorithm00.342009
Double three-level inverter based variable frequency drive with minimal total harmonic distortion using particle swarm optimization20.382007
Forecasting electricity demand by hybrid machine learning model10.672006
Peak load forecasting using the self-organizing map20.462005
Study of the virtual instrumentation applied to measure pulsed heavy currents43.952005