Qing‐Qing Ni

Zhejiang Sci-Tech University, Shinshu University

Papers

7

Total Citations

129

H-Index

6

About

Qing-Qing Ni is a leading researcher in smart materials and soft robotics, whose work centers on electroactive polymers, shape memory composites, and multifunctional actuators. Her major contributions include pioneering the development of two-way shape memory materials that can both elongate and contract under electrical stimulation, enabling precise control for soft robotic applications. She has demonstrated how thermoplastic polyurethane (TPU) and ethylene-vinyl acetate (EVA) composites, when combined with carbon nanotubes or graphene oxide, can serve as high-performance actuators and strain sensors. Notably, her 2023 paper on multifunctional RGO/EVA yarns, which garnered 36 citations, showcases a material that simultaneously acts as an electro-driven actuator and a sensitive strain sensor—a breakthrough for wearable technology. Her work on plasticized TPU gels has also been influential, with two papers each receiving 23 citations, highlighting their potential for large bending deformation and fast response. With over 100 citations across her most-cited works, Ni’s research is shaping the future of agile, controllable soft actuators, from rolling mechanisms to morphing sponges, offering elegant solutions for next-generation robotics and smart textiles.

Research Focus

Key Achievements

6
H-Index
7
Papers
129
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Multifunctional two-way shape memory RGO/ethylene-vinyl acetate composite yarns for electro-driven actuators and high sensitivity strain sensors
36 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Zhejiang Sci-Tech University, Shinshu University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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