Advances in Aerodynamics

Aims & Scope

Advances in Aerodynamics (AIA) is aimed to report the scientific and technological advances in aerodynamics from the aspects of academic research, industrial development, and engineering applications; and to provide a platform for ideas exchange and discussion in this fast-changing field.

The journal welcomes reviews and regular papers of novel studies on aerodynamic science and engineering.

The topics include but are not limited to: • Theoretical and Computational Aerodynamics: o Equilibrium and non-equilibrium flow o Numerical method and validation o Turbulent flow modeling and simulation o Multiple physical field simulation. • Experimental Aerodynamics: o Wind tunnel experiments o Propulsion and combustion o Flow visualization o Measurement and control techniques. • Wind Engineering and Industrial Aerodynamics: o Buildings and bridges o Automobiles and high-speed ground vehicles o Renewable energies o Environmental wind engineering. • Related Cross-disciplinary Aerodynamics: o Aeroacoustics o Aero-optics o Aeroelasticity o Aerodynamic stealth

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.3

Journal Rank

Year	Value
2024	6179

Journal Citation Indicator

Year	Value
2024	316

SJR (SCImago Journal Rank)

Year	Value
2024	0.853

Quartile

Year	Value
2024	Q1

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Energy, Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Energy, Engineering and Mathematics, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Experimental study on the boundary layer transition of a high-speed fin-cone configuration

  Citation: 2

  Authors: Xueliang, Binghui, Ganglei, Jie

• Deep learning prediction method for aerodynamic forces on morphing aircraft considering physical monotonicity

  Citation: 2

  Authors: Jiachi, Lifang, Aoxue, Xueming

• Numerical simulation of fluid–structure interaction for solid rocket engine nozzle ablation

  Citation: 1

  Authors: Donghui, Dehua, Zhitan, Ranhui

• Aerodynamic loading on sharp and blunt trailing-edged rotor blades at high advance ratio

  Citation: 1

  Authors: Oliver D., Matthew J., Anya R.

• A review of coaxial thermocouples on transient heat flux measurement

  Citation: 1

  Authors: Li, Hongchu, Zitao, Zhichao

• Inductive transfer-learning of high-fidelity aerodynamics from inviscid panel methods

  Citation: 0

  Authors: Benjamin Y. J., Boo Cheong

• A multi-colored Gauss-Seidel solver for aerodynamic simulations of a transport aircraft model on graphics processing units

  Citation: 0

  Authors: Liu, Jian

• Transition front prediction for the HyTRV model based on multi-dimensional stability theories

  Citation: 0

  Authors: Ligeng, Xi, Shuyi, Qian, Siwei, Maochang, Jianqiang

• Enhancement of scramjet inlet efficiency by geometrical modifications

  Citation: 0

  Authors: Dinesh Kumar, Sakshi Tushar, Nayani Kishore, Ashish, Devabrata

• Aerodynamic flow analysis using conditional convolutional autoencoder in various flow conditions and application to CFD-based design optimization

  Citation: 0

  Authors: Wontae, Donggun, Junghun, Kumwon, Seongim

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