International Journal of Computer Applications in Technology
- Editor in Chief
- Prof. Quan Min Zhu
- ISSN online
- ISSN print
- 12 issues per year
- CiteScore 2020 2.4
IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.
Topics covered include
- Computer applications in engineering and technology
- Computer control system design
- CAD/CAM, CAE, CIM and robotics
- Computer applications in knowledge-based and expert systems
- Computer applications in information technology and communication
- Computer-integrated material processing (CIMP)
- Computer-aided learning (CAL)
- Computer modelling and simulation
- Synthetic approach for engineering
- Man-machine interface
- Software engineering and management
- Management techniques and methods
- Human computer interaction
- Real-time systems
The objective of IJCAT is to help professionals working in the field, educators and policy makers to contribute, to disseminate information and to learn from each other|s work. IJCAT also aims at establishing channels of communication between Centres of Excellence for computer applications, computer manufacturers, software developers and users worldwide. IJCAT is the official publication of the International Network of Centres for Computer Applications (INCCA).
Professionals, academics, researchers, and managers.
IJCAT is a refereed, international journal, published quarterly, providing an international forum and an authoritative source of information in the field of Computer Applications and related Information Technology.
IJCAT is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Emerging Sources Citation Index (Clarivate Analytics)
- Academic OneFile (Gale)
- ACM Digital Library
- Applied Science and Technology Index
- Business Source Premier (EBSCO)
- cnpLINKer (CNPIEC)
- Computer Database (Gale)
- Computer Science Index (EBSCO)
- DBLP Computer Science Bibliography
- Ergonomics Abstracts - Ergo-Abs
- Expanded Academic ASAP (Gale)
- OneFile Business (Gale)
- General OneFile (Gale)
- Google Scholar
- Info Trac (Gale)
- Inspec (Institution of Engineering and Technology)
- Pascal (INIST-CNRS)
- ProQuest Advanced Technologies Database with Aerospace
- ProQuest ABI/Inform Collection
- Technology and Management [TEMA] (WTi Frankfurt)
- ProQuest Technology Collection
IJCAT is listed in:More journal lists/directories...
Editor in Chief
- Zhu, Quan Min, University of the West of England, UK
- Adeli, Hojjat, Ohio State University, USA
- Ali, Moonis, Texas State University, USA
- Baghdadi, Youcef, Sultan Qaboos University, Oman
- Baragetti, Sergio, Università degli Studi di Bergamo, Italy
- Bathe, K.J., Massachusetts Institute ofTechnology, USA
- Brady, Michael, University of Oxford, UK
- Chan, Felix T.S., The Hong Kong Polytechnic University, Hong Kong SAR, China
- Das Gupta, Aaron, US Army Ballistic Research Laboratory, USA
- Doumeingts, Guy, University Bordeaux 1, France
- Kobayashi, Toshiro, Toyohashi University of Technology, Japan
- Onate, E., Universitat Politecnica de Catalunya, Spain
- Poloujadoff, M., Universite De Paris VI et XI, France
- Schrefler, B.A., University of Padua, Italy
- Suh, Nam Pyo, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Editorial Board Members
- Cui, Zhihua, Taiyuan University of Science and Technology, China
- Deng, Mingcong, Tokyo University of Agriculture and Technology, Japan
- Figueiredo, João M. G., University of Évora, Portugal
- Frantz, Rafael Z., Unijuí University, Brazil
- Gao, Kai, Hebei University of Science and Technology, China
- Ghauri, Sabir, University of the West of England, UK
- Li, Long-yuan, University of Plymouth, UK
- Liu, Li, University of Science and Technology Beijing, China
- Manogaran, Gunasekaran, University of California, USA
- Mencagli, Gabriele, University of Pisa, Italy
- Nibouche, Mokhtar, University of the West of England, UK
- Pawelczyk, Marek, Silesian University of Technology, Poland
- Pham, Hai Van, Hanoi University of Science and Technology, Vietnam
- Puliato, Antonio, University of Messina, Italy
- Rahmani, Amir Masoud, Khazar University, Baku, Azerbaijan
- Shark, Lik-Kwan, University of Central Lancashire, UK
- Wang, Ruili, Massey University, New Zealand
- Wu, Defeng, Jimei University, China
- Xu, Xinli, Qingdao University of Technology, China
- Yang, Hongji, University of Leicester, UK
- Yue, Yong, Xi'an Jiaotong-Liverpool University, China
- Zhu, Peiyi, Changshu Institute of Technology, China
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Predicting canine pack patterns
17 March, 2021
Human understanding of animal behaviour is important not only from a purely scientific perspective but also from the perspective of disease prevention and control. This is especially poignant when considering those animals of vectors of disease that can be transmitted to humans and perhaps even underpin the emergence of novel pathogens such as the SARS-CoV-2 virus which has led to the current global Covid-19 pandemic. Writing in the International Journal of Computer Applications in Technology, a team from Thailand has looked at canine behaviour and how improved understanding might help in rabies control through better animal vaccination programs [...]More details...
How does it feel? – Social data mining the student mood
4 June, 2021
Can social data mining reveal student feelings? A new study in the International Journal of Computer Applications in Technology suggests that this could be the case given that a student's digital footprints on social media often reveal their personal experiences and opinions on a variety of subjects, including their course, their friends and family, and their own mental health. Hua Zhao, Yang Zuo, Chunming Xu, and Hengzhong Li of the College of Computer Science and Engineering at Shandong University of Science and Technology in Qingdao, Shandong, China, suggest that educators and course administrators could benefit from social data mining to understand their students' moods and provide appropriate help when needed [...]More details...
Selected authors will be invited to elaborate on their research topic and submit the results to the journal for review and potential publication.