Papers
4
Total Citations
34
H-Index
3
About
Yihui Zhou is a researcher at the forefront of intelligent soft robotics and human–machine interaction, with a primary focus on designing advanced hydrogel actuators and applying deep learning to educational technologies. Their most impactful work centers on nanocellulose-assisted hydrogels, where they have pioneered the construction of conductive gradient materials that enable remote actuation and integrated self-sensing—a critical step toward lifelike, autonomous soft robots. In 2025, Zhou published two highly cited papers on this topic, amassing 23 combined citations, which highlight their ability to create programmable, multi-stimuli responsive actuators that intrinsically sense their own deformation. Earlier, Zhou contributed to the field of artificial intelligence in education with a 2020 deep learning model for online teaching gesture recognition (9 citations), demonstrating a versatile research portfolio. Their 2017 work on panoramic mosaic for UAV aerial imagery further underscores their technical breadth in computer vision. With a growing citation record and a clear trajectory toward functional, intelligent materials, Zhou is establishing themselves as a key innovator in responsive soft matter and its real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Online Teaching Gestures Recognition Model Based on Deep Learning9 citations · 2020
- 3
- 4An application of panoramic mosaic in UAV aerial image2 citations · 2017