Journal of Artificial Intelligence and Technology
Published by Intelligence Science and Technology Press Inc. (Journal Finder)
eISSN : 2766-8649
Abbreviation : J. Artif. Intell. Technol.
Aims & Scope
The Journal of Artificial Intelligence and Technology is a Gold Open Access and peer-reviewed journal that publishes articles on the theoretical, technological, and experimental aspects of artificial intelligence and related studies.
The journal aims at being a high-quality international academic journal that provides a prestigious platform for researchers and practitioners in the focused artificial intelligence community.
The Journal of Artificial Intelligence and Technology welcomes submissions on the following topics: • New artificial intelligence theories • Novel applications of intelligence technologies in different disciplines, such as medicine, e-commerce, manufacturing, and social systems • AI-related brain and cognitive science • Machine sensing, perception, and human-machine interaction • Machine learning, data mining, and big data processing • Pattern recognition and computer vision • Intelligent processing through cloud computing and quantum computing • Advanced computing infrastructure design through microservices and programmable gate arrays • Natural language processing and large language models • Network intelligence and mobile computing • Blockchain/distributed ledger technologies and applications • Intelligent planning, scheduling, control and decision • Robotics, IoT, AIoT, and autonomous decentralized systems • Dependability and security of intelligent hardware, software and cyber systems • Education in artificial intelligence and computer science
View Aims & ScopeMetrics & Ranking
Journal Rank
| Year | Value |
|---|---|
| 2024 | 7933 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 560 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.712 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 19 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.
