Journal of Computing Science and Engineering Korean Institute of Information Scientists and Engineers Impact Factor

Journal of Computing Science and Engineering - Korean Institute of Information Scientists and Engineers | 2024 Cite Score:1.0 | Q4

Journal of Computing Science and Engineering With Cite Score

Cite Score and Journal Rank of Journal of Computing Science and Engineering

About: Journal of Computing Science and Engineering (JCSE) is a peer-reviewed academic journal that publishes high-quality research in the fields of computing science and engineering. The journal serves as a platform for researchers, practitioners, and educators to disseminate new findings, theories, and methodologies that contribute to the advancement of computing technology and its applications.
Objective: The primary objective of the Journal of Computing Science and Engineering is to promote the development of computing science and engineering by publishing innovative research that addresses both theoretical and practical challenges. The journal covers a broad range of topics, including computer architecture, software engineering, algorithms, artificial intelligence, machine learning, data science, network systems, and cybersecurity. It aims to provide valuable insights that can drive the evolution of computing technologies and their integration into various domains.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach, recognizing the interconnected nature of computing science and its applications across different fields. By integrating research from areas such as mathematics, electrical engineering, information technology, and data science, the journal encourages contributions that address complex computing challenges from multiple perspectives. This approach fosters the development of comprehensive solutions that are applicable in diverse real-world scenarios.
Impact and Significance: The Journal of Computing Science and Engineering has a significant impact on both the academic and professional communities involved in computing science and engineering. The research published in the journal contributes to the advancement of knowledge and technology, influencing the design and implementation of computing systems, software, and applications. It serves as a critical resource for researchers, developers, engineers, and educators who are working to solve contemporary computing challenges and push the boundaries of technology.

Journal Home: Journal Homepage

Editor-in-Chief: Seungjin Choi

Scope: The Journal of Computing Science and Engineering is a peer-reviewed journal that focuses on publishing high-quality research in the broad field of computing science and engineering. The journal provides a platform for the dissemination of original research, innovative methodologies, and case studies that contribute to the advancement of computing technologies. Key areas covered by the journal include:
1. Software Engineering: Research on software development methodologies, software design patterns, testing techniques, software maintenance, and project management.
2. Computer Systems and Architectures: Studies on the design, implementation, and evaluation of computer systems and architectures, including processors, memory systems, and parallel computing.
3. Artificial Intelligence and Machine Learning: Exploration of AI and machine learning algorithms, models, and applications, including deep learning, neural networks, and natural language processing.
4. Data Science and Big Data Analytics: Research on data mining, big data processing, data visualization, and analytics techniques for extracting knowledge from large datasets.
5. Human-Computer Interaction (HCI): Studies on the design and evaluation of user interfaces, user experience, usability testing, and interaction design for computing systems.
6. Cybersecurity and Information Assurance: Exploration of security mechanisms, threat detection, cryptographic techniques, and privacy-preserving technologies in computing systems.
7. Networking and Distributed Systems: Research on network protocols, distributed computing, cloud computing, and the design of reliable and efficient communication systems.
8. Embedded Systems and IoT: Studies on the design, development, and application of embedded systems and Internet of Things (IoT) technologies, including sensor networks and smart devices.
9. Theoretical Computer Science: Exploration of computational theory, algorithms, complexity theory, formal methods, and logic in computer science.
10. Bioinformatics and Computational Biology: Research on computational techniques for analyzing biological data, including sequence analysis, molecular modeling, and systems biology.
11. Graphics and Visualization: Studies on computer graphics, visualization techniques, virtual reality, and augmented reality applications in various fields.
12. Cloud Computing and Virtualization: Exploration of cloud computing architectures, virtualization technologies, resource management, and cloud-based services.
13. Software and Hardware Co-design: Research on the integrated design of software and hardware components, focusing on performance optimization and energy efficiency.
14. Quantum Computing: Studies on quantum algorithms, quantum communication, quantum cryptography, and the development of quantum computing systems.
15. Computational Intelligence: Research on computational techniques that mimic biological processes, including neural networks, genetic algorithms, and fuzzy logic.
16. Robotics and Autonomous Systems: Exploration of robotics technologies, autonomous systems, control algorithms, and their applications in various industries.
17. Software Quality and Reliability: Studies on techniques for ensuring software quality, reliability engineering, fault-tolerant systems, and quality assurance processes.
18. Computational Geometry and Computer Vision: Research on geometric algorithms, computer vision techniques, image processing, and pattern recognition.
19. Distributed and Parallel Computing: Exploration of algorithms, models, and systems for distributed and parallel computing, including grid computing and multi-core processing.
20. Educational Technology: Research on the use of computing technologies in education, including e-learning platforms, educational software, and computer-based training.