Papers

3

Total Citations

53

H-Index

3

About

Dr. Yanming Song is a leading researcher in the field of smart structures and advanced sensing technologies, with a particular focus on morphing wing systems and optical fiber-based sensors. His work centers on developing innovative methods for real-time shape monitoring and curvature detection in adaptive aerospace structures. Dr. Song’s major contributions include the integration of micro optical sensors embedded at varying depths within morphing wings, enabling precise structural health monitoring without compromising aerodynamic performance. He has also pioneered the use of polyvinyl chloride reinforced silicone rubber substrates to create soft, durable curvature sensors, significantly enhancing the flexibility and reliability of fiber Bragg grating (FBG) monitoring systems. His most cited paper, “Shape monitoring of morphing wing using micro optical sensors with different embedded depth” (2019, 22 citations), demonstrates his impact in advancing non-invasive sensing techniques. With a cumulative citation count exceeding 50 across his top three publications, Dr. Song’s work is widely recognized for bridging materials science and optical engineering. His achievements have practical implications for next-generation adaptive aircraft and soft robotics, making him a key figure in the evolution of intelligent, shape-aware structures.

Research Focus

Key Achievements

3
H-Index
3
Papers
53
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Shape monitoring of morphing wing using micro optical sensors with different embedded depth
22 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Beijing Information Science & Technology University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago