Journal Information
Impact Factor:
Call For Papers
Engineering is an international open-access journal that was launched by the Chinese Academy of Engineering (CAE) in 2015. Its aims are to provide a high-level platform where cutting-edge advancements in engineering R&D, current major research outputs, and key achievements can be disseminated and shared; to report progress in engineering science, discuss hot topics, areas of interest, challenges, and prospects in engineering development, and consider human and environmental well-being and ethics in engineering; to encourage engineering breakthroughs and innovations that are of profound economic and social importance, enabling them to reach advanced international standards and to become a new productive force, and thereby changing the world, benefiting humanity, and creating a new future.

We are interested in:

(1) News & Hightlights— This section covers engineering news from a global perspective and includes updates on engineering issues of high concern;

(2) Views & Comments— This section is aimed at raising academic debates in scientific and engineering community, encouraging people to express new ideas, and providing a platform for the comments on some comprehensive issues;

(3) Research— This section reports on outstanding research results in the form of research articles, reviews, perspectives, and short communications regarding critical engineering issues, and so on.

All manuscripts must be prepared in English, and are subject to a rigorous and fair peer-review process. Accepted papers will immediately appear online, and will be translated into Chinese.

The contents of our journal are based on the disciplines covered by the nine CAE divisions:
• Mechanical and Vehicle Engineering
• Information and Electronic Engineering
• Chemical, Metallurgical, and Materials Engineering
• Energy and Mining Engineering
• Civil, Hydraulic, and Architecture Engineering
• Agriculture
• Environment&Light and Textile Industries Engineering
• Medical and Health Care
• Engineering Management
Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages.


The CAE is the highest honorary and consultative academic institution in engineering science and technology in China. It consists of more than 800 CAE members, and is devoted to promoting the development of engineering science.

Academic research spearheads the development of engineering science and technology. To better lead engineering development and to provide a high-level international platform for engineering exchanges, the CAE worked with world-renowned engineering experts and scholars to launch Engineering. This initiative has received continuous responses and strong support from UNESCO, the International Council of Academies of Engineering and Technological Sciences (CAETS) member academies, and celebrated experts and scholars.

The contents of our journal are based on the disciplines covered by the nine CAE divisions:

    Mechanical and Vehicle Engineering

    Mechanical engineering
    Weapons science and technology
    Vessel and ocean engineering
    Power and electrical equipment engineering and technologies
    Aeronautics and astronautics
    Transport engineering 

    Information and Electronic Engineering

    Electronic science and technology
    Information and communication engineering
    Optical engineering and technology
    Computer science and technology
    Instrument science and technology
    Control science and technology 

    Chemical, Metallurgical, and Materials Engineering 

    Chemical engineering and technology
    Materials science and engineering
    Metallurgical engineering and technology

    Energy and Mining Engineering 

    Nuclear science, technology, and engineering
    Energy and electric science, technology, and engineering
    Mining science, technology, and engineering
    Geological resource science, technology, and engineering

    Civil, Hydraulic, and Architecture Engineering

    Civil engineering
    Mapping engineering
    Urban & rural planning and landscaping
    Water conservancy engineering
    Architecture engineering

    Environment & Light and Textile Industries Engineering

    Environmental science and technology
    Environmental engineering
    Meteorological science
    Food science and engineering
    Light industry technology and engineering
    Textile science and engineering
    Marine science and engineering


    Crop science
    Agro-biological engineering
    Agricultural engineering
    Forestry engineering
    Agricultural resources
    Animal husbandry
    Plant protection
    Veterinary science
    Applied ecology

    Medical and Health Care 

    Basic medicine
    Medical informatics and biomedical engineering
    Clinical medicine
    Oral medicine
    Traditional Chinese medicine
    Public health & preventive medicine
    Pharmaceutical engineering 

    Engineering Management
Last updated by Dou Sun in 2021-03-07
Special Issues
Special Issue on Intelligent Manufacturing
Submission Date: 2021-12-30

Theme During the past few years, many countries have put forward their national manufacturing strategies. Although these strategies are proposed and developed under different backgrounds, their common objective is to achieve intelligent manufacturing, which satisfies the demands of socialization, personalization, servitization, intelligence and energy-conservation. However, for the intelligent manufacturing, realizing smart interconnection and interaction, data mining, ubiquitous computing, and seamless cyber–physical fusion, etc., are always challenging. Fortunately, new enabling technologies for intelligent manufacturing have been developed recently, thus providing promising approaches to address these challenges. These new enabling technologies include Internet of Things (IoT) or Industrial Internet, big data, cyber–physical system (CPS), digital twin (DT), which endow manufacturing processes with intelligence. For instance, IoT devices can communicate and interact with each other, and thus enable the real-time monitoring and dynamic control. Big data analytics together with AI can help mine out potential rules, knowledge and patterns, in order to achieve smart prediction, evaluation, optimization and decision-making. DT aims at constructing interactive virtual mirrors for physical assets and fusing both real and simulated data to give more insights. These technologies can be combined with each other and greatly promote the innovation of manufacturing in design, production, operation and maintenance, etc. Objective The objective of this special issue is to present the latest advances and developments of new methods, techniques, systems, and tools dedicated to the application of enabling technologies for intelligent manufacturing. Topics include but are not limited to the following: Industrial Internet/IoT for intelligent manufacturing CPS based manufacturing systems Digital twin driven intelligent manufacturing Big data analytics in product lifecycle Computer vision for intelligent manufacturingHuman–machine interaction for intelligent manufacturing Intelligent scheduling and optimization in manufacturing 5G applications in intelligent manufacturing Editorial Board of the Special Issue: Special Issue Editors-in-Chief Peigen Li, Huazhong University of Science and Technology, China Andrew Kusiak, The University of Iowa, USA Executive Editors-in-Chief Liang Gao, Huazhong University of Science & Technology, China Weiming Shen, Huazhong University of Science & Technology, Canada Special Issue Editorial Board Robert Brennan, University of Calgary, Canada Judy Jin, University of Michigan, USA Weidong Li, Coventry University, UK Baicheng Liu, Tsinghua University, China Vladimir Marik, Czech Technical University, Czech Stephen Newman, University of Bath, UK David Rosen, Georgia Institute of Technology, USA Jianrong Tan, Zhejiang University, China Fei Tao, Beihang University, China Birgit Vogel-Heuser, Technical University of Munich, Germany Ben Wang, Georgia Institute of Technology, USA Lihui Wang, KTH Royal Institute of Technology, Sweden Editorial Assistants Xinyu Li, Huazhong University of Science & Technology, China
Last updated by Dou Sun in 2021-03-07
Related Journals
CCFFull NameImpact FactorPublisherISSN
Journal of Function Spaces0.451Hindawi2314-8896
cTheory and Practice of Logic ProgrammingCambridge University Press1471-0684
Cogent EngineeringCogent OA2331-1916
Systems Engineering0.848Wiley-Blackwell1098-1241
International Journal of Modern Physics CWorld Scientific0129-1831
aIEEE Transactions on Software Engineering4.778IEEE0098-5589
Journal of Location Based ServicesTaylor & Francis1748-9725
Education and Information Technologies Springer1360-2357
Development EngineeringElsevier2352-7285
International Journal of Mathematics and Mathematical SciencesHindawi0161-1712
Related Conferences