ICT Express

Scope & Guideline

Unlocking Insights in Artificial Intelligence and Beyond

Introduction

Welcome to your portal for understanding ICT Express, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN2405-9595
PublisherELSEVIER
Support Open AccessYes
CountrySouth Korea
TypeJournal
Convergefrom 2015 to 2024
AbbreviationICT EXPRESS / ICT Express
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

ICT Express focuses on advancing the fields of information and communication technologies (ICT) through research that emphasizes innovative applications, methodologies, and theoretical frameworks. The journal aims to address contemporary challenges in ICT and facilitate knowledge exchange among researchers and practitioners.
  1. Advanced Communication Networks:
    The journal covers research on next-generation communication networks, including 5G, 6G, and beyond, focusing on their architecture, protocols, and performance optimization.
  2. Artificial Intelligence and Machine Learning Applications:
    ICT Express publishes studies on the integration of AI and machine learning in various ICT domains, exploring their potential to enhance system performance, security, and user experience.
  3. Internet of Things (IoT) and Smart Systems:
    Research on IoT technologies, frameworks, and applications, including smart cities, healthcare, and industrial IoT, is a significant focus, reflecting the trend towards interconnected systems.
  4. Cybersecurity and Privacy:
    The journal addresses critical issues related to the security and privacy of ICT systems, including novel algorithms, frameworks, and methodologies for protecting user data.
  5. Data Science and Big Data Analytics:
    Research involving data analytics, including machine learning and statistical methods to extract insights from large datasets, is a core area of interest.
  6. Blockchain and Distributed Ledger Technologies:
    Studies on blockchain applications, security, and performance, particularly in relation to IoT, healthcare, and finance, are increasingly prominent in the journal.
  7. Wireless Communications and Signal Processing:
    The journal features research on novel algorithms and techniques for signal processing in wireless environments, including massive MIMO, cognitive radio, and beamforming.
  8. Emerging Technologies and Applications:
    ICT Express aims to explore emerging technologies such as quantum computing, edge computing, and their implications for future ICT applications.
The journal has witnessed the emergence of several trending themes that reflect the current technological landscape and research priorities in the field of ICT. This section outlines these emerging areas.
  1. Federated Learning and Privacy-Preserving Technologies:
    There is a growing interest in federated learning and methods to ensure data privacy in distributed systems, particularly in the context of IoT and healthcare applications.
  2. Semantic Communications:
    Emerging research on semantic communication networks highlights the importance of understanding the meaning of transmitted information, which is becoming increasingly relevant in the context of AI and data-centric applications.
  3. Intelligent Reflecting Surfaces (IRS) and Their Applications:
    Research into IRS technologies is gaining traction, as they promise to enhance wireless communication performance and energy efficiency in future networks.
  4. Quantum Computing and Communications:
    The exploration of quantum technologies and their applications in ICT is on the rise, signaling a shift towards next-generation computing paradigms.
  5. Integration of AI in Cybersecurity:
    The application of AI techniques to enhance cybersecurity measures is becoming a focal point, addressing the growing need for intelligent threat detection and response.
  6. Smart and Sustainable Cities:
    Research focusing on the role of ICT in developing smart and sustainable urban environments is trending, reflecting global priorities in urban development and sustainability.
  7. Edge and Cloud Computing Convergence:
    The convergence of edge and cloud computing is increasingly explored, as it addresses latency issues and enhances the processing capabilities of IoT systems.

Declining or Waning

While ICT Express continues to evolve, certain themes have shown a decline in prominence over recent years. This section highlights areas that are appearing less frequently in the journal's publications.
  1. Traditional Networking Protocols:
    Research focusing solely on conventional networking protocols appears to be waning, as the field shifts towards more complex and adaptive technologies that integrate AI and machine learning.
  2. Basic Machine Learning Techniques:
    There is a noticeable decline in papers solely focused on traditional machine learning methods, as researchers now prefer to explore hybrid approaches or advanced deep learning techniques.
  3. Theoretical Studies without Practical Applications:
    Papers that are heavily theoretical in nature, lacking practical applications or real-world implications, are becoming less common, with a shift towards applied research.
  4. Legacy Systems and Technologies:
    Research centered on outdated technologies or legacy systems is diminishing, reflecting a broader industry trend towards modernization and innovation.

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