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International Journal of Intelligent Engineering and Systems - Intelligent Networks and Systems Society | 2024 Cite Score:3.2 | Q3

International Journal of Intelligent Engineering and Systems With Cite Score

Cite Score and Journal Rank of International Journal of Intelligent Engineering and Systems

  • About: The International Journal of Intelligent Engineering and Systems (IJIES) is a peer-reviewed journal focusing on intelligent engineering and systems. Published by Sersc, the journal addresses advancements and research in areas such as intelligent systems, machine learning, artificial intelligence, and their applications in engineering and technology.
  • Objective:
    The primary objective of IJIES is to foster the development and dissemination of innovative research in intelligent engineering systems. The journal aims to publish high-quality research that contributes to the advancement of intelligent technologies, systems integration, and their practical applications in various engineering domains.
  • Interdisciplinary Approach:
    IJIES employs an interdisciplinary approach by integrating concepts from engineering, artificial intelligence, machine learning, and data science. This approach allows for the exploration of novel methodologies and technologies that enhance intelligent systems and their applications across different engineering fields.
  • Impact and Significance:
    The journal has a significant impact on the field of intelligent engineering and systems by providing a platform for groundbreaking research and technological advancements. IJIES contributes to the development of new intelligent technologies and systems, offering valuable insights and solutions for engineering challenges and fostering innovation in the field.

  • Editor-in-Chief:  Kei Eguchi

  • Scope: The International Journal of Intelligent Engineering and Systems focuses on the advancement and application of intelligent systems and engineering methods. The journal covers a wide range of topics in engineering and intelligent systems, aiming to present cutting-edge research and practical solutions.
  • Intelligent Systems: Research on systems that exhibit intelligent behavior, including artificial intelligence, machine learning, and decision-making systems.
  • Control Systems: Studies on the design, analysis, and implementation of control systems, including adaptive control, robust control, and optimal control.
  • Automation: Exploration of automation technologies and methodologies, including industrial automation, robotics, and autonomous systems.
  • Data Analysis and Processing: Research on techniques for analyzing and processing data, including big data analytics, data mining, and data visualization.
  • Sensor and Actuator Technologies: Studies on the development and application of sensors and actuators in intelligent systems, including their integration and performance optimization.
  • Optimization Techniques: Research on optimization methods applied to engineering problems, including linear and nonlinear optimization, multi-objective optimization, and metaheuristic algorithms.
  • Systems Engineering: Exploration of systems engineering principles and practices, including system modeling, system integration, and lifecycle management.
  • Human-Machine Interaction: Studies on the interaction between humans and intelligent systems, including user interface design, usability, and human factors.
  • Intelligent Transportation Systems: Research on the application of intelligent systems in transportation, including traffic management, vehicle-to-everything (V2X) communication, and smart transportation infrastructure.
  • Energy Systems: Exploration of intelligent systems applied to energy management, including smart grids, energy optimization, and renewable energy integration.
  • Embedded Systems: Studies on the design and implementation of embedded systems, including their applications in various engineering domains.
  • Robotics: Research on robotic systems, including robot design, control, and applications in industrial, medical, and service domains.
  • Artificial Intelligence Applications: Exploration of AI applications in various engineering fields, including pattern recognition, natural language processing, and cognitive computing.
  • Software Engineering: Studies on software development methodologies and tools applied to intelligent systems, including software architecture, design patterns, and quality assurance.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  2185-310X

    Electronic ISSN:  2185-3118

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computer Science, Computer Science (miscellaneous), Engineering, Engineering (miscellaneous)

  • Publication Frequency:  

  • H Index:  35

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Engineering (miscellaneous)

    Q4:  

  • Cite Score:  3.2

  • SNIP:  0.517

  • Journal Rank(SJR):  0.272