Jiangtao Wu
Papers
6
Total Citations
1,652
H-Index
6
About
Jiangtao Wu is a pioneering researcher at the intersection of advanced manufacturing, smart materials, and structural engineering, with particular expertise in 4D printing, shape memory polymers, and stimuli-responsive materials. His work has fundamentally expanded what is possible in additive manufacturing by engineering materials and structures that can change shape, heal themselves, and respond dynamically to environmental triggers. Wu's most influential contributions include the development of 3D-printed elastomers capable of shape memory and self-healing behaviors, a landmark 2018 study that has garnered over 500 citations and helped define the emerging field of 4D printing. His equally celebrated 2015 work on sequential self-folding structures using digital shape memory polymers (497 citations) demonstrated elegant biomimetic folding mechanisms with profound implications for deployable biomedical devices and space structures. Further cementing his reputation, his research into reversible shape-changing components (341 citations) opened new avenues for soft robotics and active structures. Beyond these breakthroughs, Wu has explored tensegrity deployment, grayscale 4D printing, and complex origami-inspired assemblages, consistently bridging fundamental materials science with real-world engineering applications. His body of work, collectively amassing well over 1,600 citations, positions him as a central figure shaping the future of intelligent, programmable structures.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sequential Self-Folding Structures by 3D Printed Digital Shape Memory Polymers497 citations · 2015
- 3
- 4Programmable Deployment of Tensegrity Structures by Stimulus-Responsive Polymers115 citations · 2017
- 5Reversible shape change structures by grayscale pattern 4D printing110 citations · 2018
- 63D printing of complex origami assemblages for reconfigurable structures80 citations · 2018