Papers

1

Total Citations

15

H-Index

1

About

Yan Song is a researcher whose work bridges experimental and computational fluid dynamics, with a particular focus on bio-inspired propulsion and oscillating fin systems. Her most-cited study, "Numerical and Experimental Research on Modular Oscillating Fin" (2008), has garnered 15 citations and remains a foundational reference in the field of biomimetic underwater vehicle design. In this work, Song developed a modular oscillating fin prototype and validated its performance through both numerical simulations and physical experiments, offering key insights into thrust generation and maneuverability. Her contributions are especially notable for integrating modular design principles with unsteady flow analysis, advancing the practical application of fish-like propulsion in autonomous underwater vehicles. While her citation count reflects a focused, early-career impact, Song’s research has influenced subsequent studies on flexible fin kinematics and fluid-structure interaction. Her work exemplifies how careful experimental validation can complement computational models, providing a template for engineers seeking to replicate biological locomotion in engineered systems. For students and researchers exploring bio-inspired robotics or unsteady aerodynamics, Song’s research offers a clear, methodical approach to understanding oscillating fin dynamics.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Numerical and Experimental Research on Modular Oscillating Fin
15 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago