Papers
2
Total Citations
31
H-Index
2
About
Zhihui Wang is a multidisciplinary researcher whose work spans the intersection of biomedical engineering, deep learning, and advanced materials science. With expertise in myoelectric signal processing and soft robotics, Wang has made notable strides in developing intelligent systems for upper-limb rehabilitation. His 2020 study on lightweight CNN-based myoelectric signal recognition demonstrated that deep learning models could effectively extract features from raw surface electromyography signals without manual selection, enabling real-time robotic arm control for rehabilitation applications — a contribution that has garnered 21 citations and represents a meaningful advance in human-machine interface technology. More recently, Wang has expanded his research into biomaterials, contributing a comprehensive 2025 review on cellulose nanocrystal composite hydrogels, which has already accumulated 10 citations. This work highlights the potential of renewable, biocompatible materials for smart soft actuator design, reflecting a growing interest in sustainable, bio-inspired engineering solutions. Together, these contributions position Wang as a researcher bridging computational intelligence and materials innovation, with clear implications for next-generation rehabilitation devices and responsive biomimetic systems. His evolving portfolio suggests a trajectory toward integrated, biologically inspired engineering platforms.
Research Focus
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Top Papers
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