Papers

2

Total Citations

19

H-Index

2

About

Yijun Yao is a rising innovator at the intersection of advanced manufacturing and smart materials. Their research spans two transformative domains: robotized cold spray additive manufacturing and biomass-based responsive systems. In manufacturing, Yao’s most-cited work (2023, 14 citations) introduces spray trajectory planning for complex structural components, a critical contribution to automating high-performance coating and repair processes for intricate geometries. This work addresses fundamental challenges in path optimization, directly impacting industrial scalability. Simultaneously, Yao pioneers moisture-triggered hybrid devices, as demonstrated in their 2025 study (5 citations), which integrates actuation, power generation, and self-powered motion tracking within a single, solution-processable biomass platform. This breakthrough overcomes the longstanding challenge of combining multiple functionalities in eco-friendly materials, offering a sustainable pathway for soft robotics and wearable sensors. By bridging computational manufacturing strategies with bio-inspired energy harvesting, Yao exemplifies how interdisciplinary research can yield both practical engineering solutions and novel material paradigms. Their growing citation record signals increasing influence, particularly in sustainable automation and smart device design.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Spray Trajectory Planning for Complex Structural Components in Robotized Cold Spray Additive Manufacturing
14 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Centre National de la Recherche Scientifique, Xi'an Polytechnic University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago