What is the impact factor of Engineering Applications of Computational Fluid Mechanics?

The reported impact factor of Engineering Applications of Computational Fluid Mechanics is 5.4. Impact factor values are reproduced from publishers and may lag the latest JCR release.

Información de la Revista

Engineering Applications of Computational Fluid Mechanics

Q: What is the ISSN of Engineering Applications of Computational Fluid Mechanics?

The ISSN of Engineering Applications of Computational Fluid Mechanics is 1994-2060.

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Factor de Impacto:

5.4

Editor:

Taylor & Francis

ISSN:

1994-2060

Vistas:

19733

Seguidores:

0

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Solicitud de Artículos

Engineering Applications of Computational Fluid Mechanics is an academic journal published by Taylor & Francis. (ISSN 1994-2060, impact factor 5.4).

Aims and scope Engineering Applications of Computational Fluid Mechanics is a fully open access journal of numerical methods in fluid mechanics. The journal includes applications to aeronautic, civil, environmental, hydraulic and mechanical engineering. Engineering Applications of Computational Fluid Mechanics is a publication of the Department of Civil & Environmental Engineering, The Hong Kong Polytechnic University. Engineering Applications of Computational Fluid Mechanics provides an international, interdisciplinary forum for innovative, practical and industrial research in computational techniques to address a range of fluid mechanics problems. The journal publishes papers that address practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those that further understanding of the physics of fluid motion. Engineering Applications of Computational Fluid Mechanics covers: Innovative computational strategies, architectures, algorithms and techniques for engineering problems Analysis and simulation techniques and systems Quality and reliability, i.e. control of the accuracy, stability and efficiency of computational process New computing environments, such as distributed heterogeneous and collaborative computing Advanced visualization techniques, virtual environments and prototyping Automatic generation of model and mesh Application of object-oriented technology to engineering problems Applications of artificial intelligence, knowledge-based systems, decision-support systems, fuzzy logic, neural networks and evolutionary computations Computer-aided design and integrated systems Industrial experiences in the application of the above techniques, including case studies or bench-marking exercises

Última actualización por Dou Sun el 2025-12-26

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