Science China Information Sciences - Impact Factor

Science China Information Sciences | 2024 Impact Factor:7.6| Cite Score:12.6 | Q1

Science China Information Sciences Journal - Impact Factor

Impact Factor and Journal Rank of Science China Information Sciences

About: Science China Information Sciences (SCIS) is a distinguished, peer-reviewed academic journal that publishes high-quality research articles in the field of information sciences. Sponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, SCIS is part of the Science China Series, a collection of journals dedicated to the advancement of scientific knowledge across various disciplines. SCIS serves as a key platform for disseminating significant research findings, theoretical developments, and practical applications in the information sciences.
Content Types: Research Articles: Detailed reports on original research presenting new methodologies, experimental results, and theoretical advancements in information sciences. Review Articles: Comprehensive reviews that synthesize existing research, highlight current trends, and identify future research directions. Technical Notes: Brief reports on new tools, technologies, or methods relevant to the field of information sciences.
High Standards and Impact: Peer-Reviewed: SCIS employs a rigorous peer-review process to ensure the quality, accuracy, and significance of published articles. Interdisciplinary Approach: The journal encourages the integration of knowledge from various fields, fostering innovation and collaboration in information science research. Citation Impact: Articles published in SCIS are widely cited, reflecting the journal influence and contribution to the advancement of information sciences.
Global Reach: International Contributions: The journal attracts high-quality submissions from researchers and practitioners worldwide, providing diverse perspectives and insights. Multidisciplinary Content: SCIS publishes research that spans multiple disciplines, promoting a comprehensive understanding of the interplay between various aspects of information sciences.
Significance: Science China Information Sciences (SCIS) is a leading academic journal that significantly contributes to the field of information sciences. Its rigorous peer-review process, interdisciplinary approach, and global reach make it an invaluable resource for researchers, practitioners, and students dedicated to the study and application of information science technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Hong Mei

Scope: Science China Information Sciences (SCIS) is a peer-reviewed academic journal that publishes high-quality research in all areas of information sciences. The journal aims to disseminate significant theoretical, methodological, and practical advances in information science and technology.
The scope of the journal includes, but is not limited to, the following areas:
Theoretical Computer Science: Research on the fundamental aspects of computer science, including algorithms, computational theory, and complexity theory.
Artificial Intelligence (AI): Studies on various AI methodologies such as machine learning, neural networks, natural language processing, and robotics.
Data Science and Big Data: Innovations in data analysis, data mining, big data technologies, and their applications in diverse domains.
Information Systems: Research on the design, implementation, and management of information systems, including databases, information retrieval, and data warehousing.
Network and Communication Technologies: Advances in networking, communication protocols, wireless communications, and the Internet of Things (IoT).
Cybersecurity: Studies focusing on the security and privacy aspects of information systems, including cryptography, network security, and data protection.
Software Engineering: Research on software development methodologies, software design, testing, and maintenance.
Human-Computer Interaction (HCI): Innovations in user interface design, usability studies, and interaction techniques for various computing applications.
Bioinformatics and Computational Biology: Application of information science techniques to biological data, facilitating discoveries in genomics, proteomics, and related areas.