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General Information
ISSN:
1798-2340 (Online)
Frequency:
Bimonthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
450 USD
Average Days to Accept:
112 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of the
JAIT
Editorial Board.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2023-09-22
All papers published in JAIT Vol. 14, No. 3&4 have been indexed by Scopus.
2023-08-28
Vol. 14, No. 4 has been published online!
2023-08-02
JAIT Vol. 14, No. 2 has been indexed by Scopus.
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About JAIT
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Aims and Scope
>
Aims and Scope
JAIT
is a scientific open access journal which focuses on empirical research results and critical analysis of technology development, use, management and impacts in information technology. Our aim is to publish experimental and theoretical results in strategy, infrastructure, human resources, system development and implementation, IT risk, IT management, data science, communications, technology development and futures, national policies and standards, software engineering, etc. In particular, we encourage a multidisciplinary/convergent approach based on the following broadly based branches of computer science for the application areas highlighted below:
· Advances in AI and Soft Computing
· Learning and Evolutionary Computing, Evolutionary Algorithm, Genetic Algorithms
· Cognitive Science, Mathematical Linguistics
· Computational Intelligence, Neuroscience, Intelligent Systems and Agent
· Expert systems & Decision Making
· Neural Networks, Fuzzy Logic, Reasoning
· Chaos Theory, Dynamical Systems
· Information and Knowledge
· DNA Computing
· Nano-Computing
· Quantum Computing
· Natural Computing
· Language and Search Engine, Information Retrieval
· Information Security
· Data Engineering, Database, Data Mining, Data Warehouse, Data Fusion
· Digital Library
· Pervasive Computing
· Human-Computer Interaction (HCI)
· Non-technical but relevant topics such as Information Policy, Ethics and Legal issues as appropriate.