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SYSU-CMU International Joint Research Institute | Researchclopedia

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SYSU-CMU International Joint Research Institute

Shundefacility

654

Works

34,019

Citations

86

h-index

Top Research Topics

Adaptive Control of Nonlinear Systems Robotic Mechanisms and Dynamics Antenna Design and Analysis

Top Researchers

Jian Wu Ningbo University

11,169 works226,743 citationsh-index: 177

Recent Research

<i>Cinnamomum burmannii</i> Leaves-Derived Carbon Dots Promote Angiogenesis and Stimulate Hair Follicle Regeneration by Reshaping the Microenvironment of Hair Follicles

Peng Song,Xinyu Cai,et al.

20260 citations

Thin-Film Transistor Technologies

Microwave Engineering and Waveguides

Microgrid Control and Optimization

Neural Networks and Applications

Advanced Sensor and Energy Harvesting Materials

Iterative Learning Control Systems

Smart Grid Energy Management

Energy Harvesting in Wireless Networks

Optical Wireless Communication Technologies

Kai Wang Kunming University of Science and Technology

7,378 works216,134 citationsh-index: 172

Jun Zhang Tianjin University

4,439 works86,112 citationsh-index: 124

Aibing Yu Dongguan University of Technology

1,342 works55,185 citationsh-index: 109

Ying Wang Chinese Academy of Medical Sciences & Peking Union Medical College

1,729 works40,510 citationsh-index: 93

Jun Wang Guangdong University of Technology

4,593 works37,486 citationsh-index: 81

Numerical simulation of inhaled drug particle deposition and distribution in the adult upper respiratory tract

Shufan Liu,Xudong Zhou,et al.

20250 citations

Securing cyber-physical systems: Attack detection and isolation in power grid AGC

Muhammad Asim Abbasi,Aadil Sarwar Khan,et al.

20250 citations

Tetrahedral Framework Nucleic Acids as Thermal Loading Nanocarriers for Enhanced Inhibition of Melanin Synthesis

Pengzhen Li,Wenjun Zhang,et al.

20251 citations

Effects of Ni(OH)<sub>2</sub> Structures on the Electrochemical Conversion of KA Oil

Yanwei Li,Jie Chen,et al.

20253 citations

An Interpretable Predictive Model for Liquid Holdup of Hilly Terrain Oil-Gas Pipelines Based on Machine Learning and Shapley Additive Explanations

Xinhui Chen,Si Huang,et al.

20252 citations