The CAAI Transactions on Intelligence Technology is a scholarly journal dedicated to advancing research, methodologies, and applications in the field of intelligence technology. Published by the Chinese Association for Artificial Intelligence (CAAI), the journal serves as a platform for researchers, practitioners, and educators to publish high-impact, peer-reviewed articles that explore innovative developments and applications in artificial intelligence (AI) and related technologies.
Objective
The primary objective of the CAAI Transactions on Intelligence Technology is to promote interdisciplinary research and innovation in intelligence technology. The journal publishes original contributions that cover topics such as machine learning, natural language processing, computer vision, robotics, and intelligent systems.
Impact
The journal seeks to make a significant impact by:
Publishing cutting-edge research that advances the state-of-the-art in intelligence technology.
Facilitating collaboration among researchers, engineers, and industry leaders to address challenges and opportunities in AI and intelligent systems.
Providing a platform for the dissemination of research findings that influence academic discourse and industry practices in intelligence technology.
Contributing to the development of innovative methodologies, algorithms, and applications that enhance the capabilities and applications of AI.
Significance
Intelligence technology, including AI and related fields, is transforming industries, society, and everyday life. The CAAI Transactions on Intelligence Technology plays a crucial role in advancing this field by promoting rigorous research, fostering collaboration, and shaping the future of intelligence technology through its impactful publications.
Journal Home:  Journal Homepage
Editor-in-Chief:  Cesare AlippiĀ
scope:
The CAAI Transactions on Intelligence Technology is dedicated to advancing the field of artificial intelligence and its technological applications. As a peer-reviewed publication, it serves as a platform for researchers, practitioners, and educators to publish high-impact articles that explore innovative trends and developments in AI technology.
Foundational Concepts:
Core principles and theoretical foundations of artificial intelligence, including machine learning, natural language processing, and computer vision.
Evolution and historical development of key concepts in intelligent technology.
Advanced Topics:
Cutting-edge research in deep learning, reinforcement learning, and cognitive computing.
Emerging trends in AI applications such as autonomous systems, robotics, and AI-driven decision support systems.
Applications and Case Studies:
Practical applications of intelligent technology in various domains including healthcare, finance, manufacturing, and smart cities.
Case studies demonstrating the impact of AI technologies on improving efficiency, accuracy, and innovation in diverse industries.
Interdisciplinary Perspectives:
Integration of AI with other fields such as data science, cybersecurity, and human-computer interaction.
Cross-disciplinary approaches to leveraging intelligent technologies for addressing societal challenges and advancing scientific research.
Print ISSN:  2468-2322
Electronic ISSN:  2468-6557
Abstracting and Indexing:  Scopus, ESCI
Imapct Factor 2023:  8.4
Subject Area and Category:  Computer Science ,Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems
Publication Frequency:  
H Index:  34
Q1:  Artificial Intelligence
Q2:  
Q3:  
Q4:  
Cite Score:  11.0
SNIP:  2.19
Journal Rank(SJR):  1.322
Latest Articles:   Latest Articles in CAAI Transactions on Intelligence Technology
Guidelines for Authors: CAAI Transactions on Intelligence Technology Author Guidelines
Paper Submissions: Paper Submissions in CAAI Transactions on Intelligence Technology
Publisher:  Institution of Engineering and Technology
Country:  United Kingdom