List of Topics:
Location Research Breakthrough Possible @S-Logix pro@slogix.in

Office Address

Social List

International Journal of Automation and Smart Technology - Chinese Institute of Automation Engineers | 2024 Cite Score:0.5 | Q4

International Journal of Automation and Smart Technology With Cite Score

Cite Score and Journal Rank of International Journal of Automation and Smart Technology

  • About: International Journal of Automation and Smart Technology (AUST) is a peer-reviewed journal that focuses on the latest advancements in automation, smart technology, and related fields. The journal serves as a platform for researchers, engineers, and practitioners to publish and share innovative research, methodologies, and applications that contribute to the growth and development of automation and smart technologies.
  • Objective: The primary objective of the International Journal of Automation and Smart Technology is to promote the dissemination of high-quality research that advances the understanding and application of automation and smart technologies in various domains. The journal aims to cover a broad range of topics, including industrial automation, smart manufacturing, intelligent systems, robotics, Internet of Things (IoT), artificial intelligence (AI), and smart grids. It seeks to provide a comprehensive view of the challenges, innovations, and future directions in these rapidly evolving fields.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various fields such as computer science, electrical engineering, mechanical engineering, information technology, and industrial engineering. This approach allows the journal to address complex problems that require a combination of knowledge and expertise from multiple disciplines, making it a valuable resource for researchers and professionals working in automation and smart technology.
  • Impact and Significance: The International Journal of Automation and Smart Technology has a significant impact within the academic and industrial communities. It provides insights into the latest trends and developments in automation and smart technology, contributing to the advancement of knowledge in these areas. The research published in the journal has practical implications for industries involved in automation, manufacturing, and smart systems, helping to drive innovation and improve efficiency in various sectors.
  • By focusing on both theoretical and practical aspects of automation and smart technology, the International Journal of Automation and Smart Technology plays a crucial role in shaping the future of these fields. The journal serves as a valuable source of knowledge and inspiration for researchers, engineers, and practitioners, helping them stay at the forefront of technological advancements and apply cutting-edge solutions in their work.

  • Editor-in-Chief:  Dr. Chung-Hsien Kuo

  • Scope: The International Journal of Automation and Smart Technology (AUST) focuses on the latest advancements in automation, smart technologies, and their applications across various industries. The journal covers a wide range of topics, including but not limited to:
  • 1. Automation Systems: Research on the development and implementation of automated systems in manufacturing, process control, and other industrial applications.
  • 2. Smart Technologies: Innovations in smart systems, including smart sensors, smart grids, and Internet of Things (IoT) applications.
  • 3. Robotics: Studies on the design, control, and application of robots in various fields, including industrial, medical, and service robotics.
  • 4. Artificial Intelligence and Machine Learning: Application of AI and machine learning in automation and smart technology, including predictive maintenance, autonomous systems, and intelligent decision-making.
  • 5. Cyber-Physical Systems: Integration of physical processes with computational models, focusing on the design, analysis, and implementation of cyber-physical systems.
  • 6. Smart Manufacturing: Research on the adoption of smart technologies in manufacturing processes, including Industry 4.0, digital twins, and advanced production techniques.
  • 7. Human-Machine Interaction: Exploration of how humans interact with automated systems and smart technologies, including user interfaces, ergonomics, and safety considerations.
  • Latest Research Topics for PhD in Computer Science
    •

  • Print ISSN:  22239766

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Artificial Intelligence, Hardware and Architecture, Human-Computer Interaction, Signal Processing, Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

  • Publication Frequency:  

  • H Index:  15

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Artificial Intelligence

  • Cite Score:  0.5

  • SNIP:  0.203

  • Journal Rank(SJR):  0.134