Xiao‐dong Qi

Southwest Jiaotong University, Sichuan University

Papers

2

Total Citations

77

H-Index

2

About

Xiao-Dong Qi is a leading researcher in the field of smart polymeric materials, with a primary focus on shape-memory polymers and multifunctional composites. His work is distinguished by the development of novel, simple, and versatile strategies to create advanced materials with complex, multi-stimuli-responsive behaviors. Notably, he pioneered a gradient polydopamine coating method, a general and straightforward approach to achieving multi-shape memory effects—a property highly sought after for applications in aerospace, soft robotics, and biomedical devices. This foundational work, published in 2018, has garnered 33 citations. Building on this, Qi introduced a photo-induced shape memory blend composite that integrates remote, selective self-healing capabilities using polypyrrole nanoparticles. This 2021 paper, with 44 citations, demonstrates his ability to combine multiple advanced functionalities—shape memory and self-healing—into a single, practical material system. Through his innovative design principles, Qi is making significant contributions to the next generation of intelligent, adaptive materials, offering elegant solutions that simplify fabrication while enhancing performance.

Research Focus

Key Achievements

2
H-Index
2
Papers
77
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Photo-induced shape memory blend composites with remote selective self-healing performance enabled by polypyrrole nanoparticles
44 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Southwest Jiaotong University, Sichuan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago