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Cited by 780

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Aerodynamics of Low Reynolds Number Flyers

Shyy, Wei, Lian, Yongsheng, Tang, Jian, Viieru, Dragos, Liu, Hao·2007·Cambridge University Press eBooks

Abstract

Low Reynolds number aerodynamics is important to a number of natural and man-made flyers. Birds, bats, and insects have been of interest to biologists for years, and active study in the aerospace engineering community, motivated by interest in micro air vehicles (MAVs), has been increasing rapidly. The focus of this book is the aerodynamics associated with fixed and flapping wings. The book considers both biological flyers and MAVs, including a summary of the scaling laws which relate the aerodynamics and flight characteristics to a flyer's sizing on the basis of simple geometric and dynamics analyses, structural flexibility, laminar-turbulent transition, airfoil shapes, and unsteady flapping wing aerodynamics. The interplay between flapping kinematics and key dimensionless parameters such as the Reynolds number, Strouhal number, and reduced frequency is highlighted. The various unsteady lift enhancement mechanisms are also addressed.

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Metadata

Authors
Shyy, W., Lian, Y., Tang, J., Viieru, D., & Liu, H.
Venue
Cambridge University Press eBooks
Published
2007-10-22
OpenAlex
W1514397422
Cited by
780
References
3
FWCI
28.32
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Aerodynamics of Low Reynolds Number Flyers. https://app.cochat.ai/papers/10.1017/cbo9780511551154
The paper
Shyy, W., Lian, Y., Tang, J., Viieru, D., & Liu, H. (2007). Aerodynamics of Low Reynolds Number Flyers. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511551154

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.