Science China-Information Sciences

Scope & Guideline

Empowering Innovation Through Open Access Research.

Introduction

Welcome to the Science China-Information Sciences information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Science China-Information Sciences, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1674-733x
PublisherSCIENCE PRESS
Support Open AccessNo
CountryChina
TypeJournal
Convergefrom 2010 to 2024
AbbreviationSCI CHINA INFORM SCI / Sci. China-Inf. Sci.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA

Aims and Scopes

The journal 'Science China-Information Sciences' focuses on the intersection of information science and technology, emphasizing innovative research and applications in various fields. It aims to publish high-quality articles that contribute to the advancement of knowledge in these domains.
  1. Information Processing and Control Systems:
    Research on algorithms and methods for information processing, including adaptive control systems, event-triggered control, and distributed consensus protocols for multi-agent systems.
  2. Artificial Intelligence and Machine Learning:
    Development and application of AI and machine learning techniques, particularly in areas such as reinforcement learning, deep learning, and their integration into various systems.
  3. Quantum Computing and Cryptography:
    Exploration of quantum algorithms, quantum key distribution, and secure communication protocols, reflecting the growing interest in quantum technologies.
  4. Neuromorphic Computing and Hardware Design:
    Innovations in neuromorphic devices and computing architectures, focusing on energy-efficient designs and their applications in artificial intelligence.
  5. Communication Systems and Networks:
    Research on communication protocols, network optimization, and the integration of emerging technologies such as 5G and beyond, with a focus on efficiency and reliability.
  6. Robotics and Autonomous Systems:
    Studies on the control and operation of autonomous systems, including UAVs and multi-robot systems, emphasizing adaptive and resilient behaviors in dynamic environments.
  7. Data Science and Analysis:
    Advancements in data-driven methodologies for analysis, including big data processing, privacy-preserving techniques, and the application of statistical methods in various domains.
The journal 'Science China-Information Sciences' is witnessing a surge in research themes that align with contemporary technological advancements and societal needs. These emerging areas are indicative of the journal's responsiveness to current trends in science and technology.
  1. Artificial Intelligence for Autonomous Systems:
    A notable increase in research focusing on integrating AI into autonomous systems, particularly regarding their decision-making processes and adaptive behaviors.
  2. Quantum Information Science:
    Significant growth in publications related to quantum algorithms, quantum cryptography, and their applications, reflecting the rapid development in this cutting-edge field.
  3. Smart and Secure Communication Technologies:
    Emerging research themes in communication systems that emphasize security, efficiency, and the integration of AI and machine learning for enhanced performance.
  4. Neuromorphic and Bio-inspired Computing:
    A rising interest in neuromorphic computing architectures that mimic biological processes for improved computational efficiency and energy savings.
  5. Data Privacy and Security in AI:
    Growing focus on methodologies that ensure data privacy and security while leveraging AI, particularly in the context of federated learning and differential privacy.
  6. Resilient Control Systems:
    Increasing research on robust control strategies that can withstand external disturbances and cyber-attacks, particularly in the context of multi-agent systems and cyber-physical systems.

Declining or Waning

While certain themes continue to thrive, some areas of research within 'Science China-Information Sciences' appear to be declining in prominence. This may reflect shifts in research focus or the maturing of specific technologies.
  1. Traditional Computing Paradigms:
    Research related to classical computing methods and architectures is becoming less prevalent, as the focus shifts towards more advanced paradigms like quantum computing and neuromorphic systems.
  2. Basic Theoretical Studies in Control Theory:
    While foundational work in control theory remains important, the journal has seen a decrease in purely theoretical papers, indicating a growing emphasis on practical applications and real-world implementations.
  3. Conventional Security Protocols:
    As new cryptographic techniques and quantum-safe methods emerge, traditional security protocols based on classical mechanisms are receiving less attention, reflecting the need for more robust solutions.
  4. Static Network Design:
    Research focusing on static or less adaptive network designs is waning, as the emphasis shifts towards dynamic, self-optimizing networks that can adapt to changing conditions.

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