John Young

8.6k total citations · 3 hit papers
198 papers, 6.9k citations indexed

About

John Young is a scholar working on Computational Mechanics, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, John Young has authored 198 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computational Mechanics, 89 papers in Aerospace Engineering and 32 papers in Ocean Engineering. Recurrent topics in John Young's work include Fluid Dynamics and Turbulent Flows (62 papers), Biomimetic flight and propulsion mechanisms (60 papers) and nanoparticles nucleation surface interactions (31 papers). John Young is often cited by papers focused on Fluid Dynamics and Turbulent Flows (62 papers), Biomimetic flight and propulsion mechanisms (60 papers) and nanoparticles nucleation surface interactions (31 papers). John Young collaborates with scholars based in Australia, United Kingdom and United States. John Young's co-authors include Joseph C. S. Lai, Max F. Platzer, B. D. Todd, Fang-Bao Tian, Muhammad Arif Ashraf, Alexander J. White, B. A. Haberman, Kevin Jones, J. H. Horlock and Graham K. Taylor and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

John Young

193 papers receiving 6.6k citations

Hit Papers

Flapping Wing Aerodynamic... 2008 2026 2014 2020 2008 2009 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Young 3.6k 3.5k 1.0k 916 837 198 6.9k
J. C. F. Pereira 3.8k 1.1× 1.2k 0.3× 466 0.4× 740 0.8× 454 0.5× 182 5.3k
William A. Sirignano 8.1k 2.3× 2.6k 0.7× 2.1k 2.0× 500 0.5× 418 0.5× 292 9.8k
Henry Weller 4.2k 1.2× 1.7k 0.5× 729 0.7× 799 0.9× 297 0.4× 24 6.2k
Koji Okamoto 1.9k 0.5× 1.4k 0.4× 416 0.4× 1.2k 1.3× 1.1k 1.3× 437 5.9k
G. M. Faeth 10.9k 3.0× 3.9k 1.1× 3.0k 2.9× 464 0.5× 725 0.9× 301 14.0k
Jens Honoré Walther 2.3k 0.6× 885 0.3× 490 0.5× 908 1.0× 2.5k 3.0× 209 7.4k
L.D. Smoot 5.2k 1.5× 1.2k 0.3× 2.1k 2.0× 2.0k 2.2× 902 1.1× 115 9.1k
Nobuhide Kasagi 4.5k 1.2× 1.2k 0.4× 654 0.6× 2.7k 2.9× 1.4k 1.7× 281 7.3k
R. Greif 3.5k 1.0× 995 0.3× 274 0.3× 2.3k 2.5× 998 1.2× 218 7.3k
Fengshan Liu 4.7k 1.3× 1.3k 0.4× 273 0.3× 142 0.2× 1.0k 1.2× 254 9.0k

Countries citing papers authored by John Young

Since Specialization
Citations

This map shows the geographic impact of John Young's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Young more than expected).

Fields of papers citing papers by John Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Young. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Young. The network helps show where John Young may publish in the future.

Co-authorship network of co-authors of John Young

This figure shows the co-authorship network connecting the top 25 collaborators of John Young. A scholar is included among the top collaborators of John Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Young. John Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Young, John, et al.. (2026). Propeller blade performance in low-pressure environments. Physics of Fluids. 38(2).
2.
Wang, Li, et al.. (2025). A scaling law for the lift of a bio-inspired wing hovering in low-density compressible flows. Journal of Fluid Mechanics. 1003. 4 indexed citations
3.
Wang, Li, et al.. (2025). A numerical study of flexible flapping wings in highly compressible flows. Physics of Fluids. 37(7). 2 indexed citations
4.
Young, John, et al.. (2025). Effects of confined boundaries on hovering flight using the unsteady vortex lattice method. Physics of Fluids. 37(9). 1 indexed citations
5.
Wang, Li, et al.. (2024). Wall-modeled large eddy simulation in the immersed boundary-lattice Boltzmann method. Physics of Fluids. 36(3). 11 indexed citations
6.
Huang, Qiuxiang, et al.. (2024). Self-excited oscillations of three-dimensional collapsible tubes conveying both laminar and turbulent flows. Physics of Fluids. 36(12). 1 indexed citations
7.
Liu, Zhengliang, Li Wang, Sridhar Ravi, et al.. (2024). An immersed boundary-regularized lattice Boltzmann method for modeling fluid–structure–acoustics interactions involving large deformation. Physics of Fluids. 36(11). 2 indexed citations
8.
Wang, Li, et al.. (2024). Enhancing tip vortices to improve the lift production through shear layers in flapping-wing flow control. Journal of Fluid Mechanics. 999. 5 indexed citations
9.
Young, John, et al.. (2024). Enhancement of the subcritical boiling heat transfer in microchannels by a flow-induced vibrating cylinder. Physics of Fluids. 36(9). 5 indexed citations
10.
Huang, Qiuxiang, et al.. (2023). Power synchronisations determine the hovering flight efficiency of passively pitching flapping wings. Journal of Fluid Mechanics. 974. 14 indexed citations
11.
Young, John, et al.. (2023). Enhancing the Power-Extraction Efficiency of a Flapping Foil by Active Morphing. AIAA Journal. 61(9). 4056–4069. 6 indexed citations
12.
Young, John, et al.. (2022). Energy harvesting of inverted piezoelectric flags in an oscillating flow. Journal of Fluids and Structures. 115. 103762–103762. 13 indexed citations
13.
Huang, Qiuxiang, Zhengliang Liu, Li Wang, et al.. (2022). Streamline penetration, velocity error, and consequences of the feedback immersed boundary method. Physics of Fluids. 34(9). 24 indexed citations
14.
Huang, Qiuxiang, et al.. (2021). CFD solver validations for simulating passively pitching tandem wings in hovering flight. UNSWorks (University of New South Wales, Sydney, Australia). 1 indexed citations
15.
Huang, Qiuxiang, Fang-Bao Tian, John Young, & Joseph C. S. Lai. (2021). Transition to chaos in a two-sided collapsible channel flow. Journal of Fluid Mechanics. 926. 32 indexed citations
16.
Wang, Zhen, et al.. (2020). An immersed boundary-lattice Boltzmann method for fluid-structure interaction problems involving viscoelastic fluids and complex geometries. Journal of Computational Physics. 415. 109487–109487. 87 indexed citations
17.
Young, John, Fang-Bao Tian, Zhengliang Liu, et al.. (2020). Analysis of unsteady flow effects on the Betz limit for flapping foil power generation. Journal of Fluid Mechanics. 902. 21 indexed citations
18.
Shahzad, Aamer, Fang-Bao Tian, John Young, & Joseph C. S. Lai. (2018). Effects of hawkmoth-like flexibility on the aerodynamic performance of flapping wings with different shapes and aspect ratios. Physics of Fluids. 30(9). 54 indexed citations
19.
Shahzad, Aamer, Fang-Bao Tian, John Young, & Joseph C. S. Lai. (2016). Effects of wing shape, aspect ratio and deviation angle on aerodynamic performance of flapping wings in hover. Physics of Fluids. 28(11). 70 indexed citations
20.
Young, John, Joseph C. S. Lai, & Max F. Platzer. (2014). A review of progress and challenges in flapping foil power generation. Progress in Aerospace Sciences. 67. 2–28. 288 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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