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
Engineering Applications of Computational Fluid Mechanics publishes research papers, review articles and discussions.
The journal operates a double-anonymized peer review policy.
42 days avg. from submission to first
post-review decision
14 days avg. from acceptance to online
publication
16% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Editors-in-Chief: Huan-Feng Duan , The Hong Kong Polytechnic University, Hong Kong Jie-Min Zhan, Sun Yat-Sen University, P.R. China
Associate Editors:
Kamran Alba,University of Houston, USA Ying-ying Luo,Sun Yat-Sen University, P.R. China Petr Nikrityuk,University of Alberta, Canada Jaiyoung Ryu,Korea University, South Korea Alessandro Stocchino, The Hong Kong Polytechnic University, Hong Kong Jinghua Wang, The Hong Kong Polytechnic University, Hong Kong
Advisory and Editorial Board: Paul Bates, University of Bristol, UK Zhi-Xian Cao, Wuhan University, P.R. China Tong-Chuan Che,The Hong Kong Polytechnic University, Hong Kong Qin J. Chen, NortheasternUniversity, USA Sung-Uk Choi, Yonsei University, South Korea Subhasish Dey, Indian Institute of Technology Kharagpur, India Roger A. Falconer, Cardiff University, U.K Alfredo Iranzo, University of Sevilla, Spain Randolph Chi-Kin Leung, The Hong Kong Polytechnic University, Hong Kong Ye Li,Southern University of Science and Technology, P.R. China Jian-Zhong Lin, Zhejiang University, P.R. China Peng-Zhi Lin, Sichuan University, P.R. China Frederic Magoules, Ecole Centrale Paris, France Weeratunge Malalasekera, Loughborough University, UK Hakan Fehmi Öztop, Firat University, Turkey Ali Akbar Salehi, Tarbiat Modares University, Iran Yong-Ming Shen, Dalian University of Technology, P.R. China George A. Sorial, University of Cincinnati, USA Eleuterio F. Toro,Università di Trento, Italy Bor-Jang Tsai,Chung Hua University, Chinese Taipei Bin Wang,Southwest Jiaotong University, China Dong Xu,Hohai University, P.R. China Jing Yuan, Tsinghua University, P.R. China Takashi Yabe,Tokyo Institute of Technology, Japan Wei Zhang,University of Connecticut, USA Wu Zhang, Shanghai University, P.R. China Yong Zhao, Alfaisal University, Saudi Arabia
Yao Zheng,Zhejiang University, P.R. China
Abstracting and indexing
Engineering Applications of Computational Fluid Mechanics is abstracted and indexed in Science Citation Index Expanded™; Current Contents® / Engineering, Computing & Technology; and Scopus.
Open access
Engineering Applications of Computational Fluid Mechanics is an open access journal and only publishes open access articles. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
To publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
Department of Civil & Environmental Engineering, The Hong Kong Polytechnic University and our publisher Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Department of Civil & Environmental Engineering, The Hong Kong Polytechnic University and our publisher Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Department of Civil & Environmental Engineering, The Hong Kong Polytechnic University and our publisher Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Department of Civil & Environmental Engineering, The Hong Kong Polytechnic University and our publisher Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
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