Dandan Lei

Wuhan National Laboratory for Optoelectronics

Papers

4

Total Citations

659

H-Index

4

About

Dandan Lei is a materials scientist and engineer whose research sits at the dynamic intersection of advanced nanomaterials, flexible electronics, and wearable sensing technologies. Her work focuses primarily on MXene-based composite materials and their transformative applications in pressure sensing, electronic skin, robotics, and human-computer interaction. Lei's most significant contributions center on designing and engineering flexible piezoresistive sensors that overcome long-standing limitations in sensitivity, manufacturability, and cost. Her highly cited 2022 review on MXene's roles in pressure sensing, which has garnered 245 citations, offers a comprehensive framework for understanding composite structural design and sensing mechanisms, establishing it as an essential reference in the field. Complementing this, her work on MXene/bacterial cellulose sound detectors (221 citations) demonstrated the practical viability of MXene composites in sophisticated acoustic and motion-sensing applications. Her development of a cellulose nanofiber-foam-based degradable piezoresistive sensor (136 citations) introduced eco-conscious design principles without sacrificing high performance, while her bionic MXene actuator research explores multiresponsive, biomimetic systems. Collectively, Lei's contributions have meaningfully advanced the scientific community's understanding of next-generation flexible electronics, making her an emerging voice in sustainable, high-performance wearable technology.

Research Focus

Key Achievements

4
H-Index
4
Papers
659
Total Citations
165
Avg Citations/Paper
🏆 Most Cited Paper
Roles of MXene in Pressure Sensing: Preparation, Composite Structure Design, and Mechanism
245 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Wuhan National Laboratory for Optoelectronics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago