International Journal of Computational Intelligence and Applications

Scope & Guideline

Pioneering Research in Intelligent Systems

Introduction

Welcome to the International Journal of Computational Intelligence and Applications 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 International Journal of Computational Intelligence and Applications, 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
ISSN1469-0268
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 2008 to 2024
AbbreviationINT J COMPUT INTELL / Int. J. Comput. Intell. Appl.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The International Journal of Computational Intelligence and Applications focuses on fostering research and innovations in computational intelligence, with a blend of traditional and modern methodologies. It encompasses a wide range of applications across various domains, emphasizing the development of intelligent systems and algorithms.
  1. Computational Intelligence Techniques:
    The journal publishes research on various computational intelligence techniques such as neural networks, fuzzy logic, genetic algorithms, and swarm intelligence, providing a platform for innovative methodologies that enhance decision-making and problem-solving capabilities.
  2. Applications of AI and Machine Learning:
    There is a strong emphasis on the application of artificial intelligence (AI) and machine learning across diverse fields, including healthcare, finance, transportation, and environmental monitoring, showcasing how computational intelligence can address real-world challenges.
  3. Optimization Algorithms:
    Research focusing on optimization algorithms, particularly metaheuristic and hybrid approaches, is a significant aspect of the journal, highlighting advancements in solving complex optimization problems.
  4. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that combines computational intelligence with other fields such as data science, bioinformatics, and robotics, fostering innovative solutions and methodologies.
  5. Emerging Technologies:
    There is a consistent focus on emerging technologies such as blockchain, IoT, and autonomous systems, exploring their integration with computational intelligence to enhance system performance and security.
The journal has shown a dynamic evolution in its research focus, with several themes gaining traction in recent publications. This section outlines the trending and emerging scopes within the journal.
  1. Deep Learning Innovations:
    Research on deep learning techniques, including architectures like CNNs and GANs, is becoming increasingly prominent, reflecting the growing interest in applying these methods to various domains such as healthcare, image processing, and natural language processing.
  2. Blockchain and AI Integration:
    There is a notable trend towards exploring the integration of blockchain technology with AI, focusing on applications that enhance data security, privacy, and trust in automated systems.
  3. Smart Systems and IoT:
    The exploration of smart systems and the Internet of Things (IoT) is emerging as a significant area of interest, particularly in developing intelligent solutions for real-time data analysis and decision-making in connected environments.
  4. Hybrid Optimization Techniques:
    The use of hybrid optimization techniques that combine different algorithms to tackle complex problems is gaining popularity, reflecting a trend towards more sophisticated and effective computational strategies.
  5. Healthcare Applications of AI:
    There is increasing attention on applying AI and computational intelligence in healthcare, particularly in diagnostics, treatment planning, and predictive modeling, showcasing the potential of these technologies to improve patient outcomes.

Declining or Waning

While the journal continues to explore a wide array of topics, certain themes appear to be declining in prominence as newer methodologies and applications emerge. This section highlights those waning themes.
  1. Traditional Statistical Methods:
    The reliance on traditional statistical methods is decreasing as researchers shift towards more advanced machine learning and AI techniques, which provide greater flexibility and accuracy in data analysis.
  2. Basic Neural Network Models:
    There is a noticeable decline in publications focusing on basic neural network architectures, with a growing preference for complex and hybrid models that leverage recent advancements in deep learning.
  3. Limited Scope of Applications:
    Research papers that focus on narrower applications or less innovative uses of computational intelligence are becoming less frequent, as the journal emphasizes broader and more impactful applications.
  4. Single-Algorithm Studies:
    Papers dedicated solely to the analysis of a single algorithm are on the decline, as there is increasing interest in comparative studies and hybrid approaches that combine multiple methodologies for improved results.

Similar Journals

Natural Computing

Advancing Knowledge in Nature-Inspired Algorithms
Publisher: SPRINGERISSN: 1567-7818Frequency: 4 issues/year

Natural Computing is a leading peer-reviewed journal published by Springer, focusing on the interdisciplinary study of natural computation methods and their applications across various domains. With an ISSN of 1567-7818 and an E-ISSN of 1572-9796, this journal has established itself as vital in the field of Computer Science Applications, as reflected in its esteemed Q2 quartile ranking and a Scopus rank of #358 among 817 journals, placing it in the 56th percentile. Based in the Netherlands, Natural Computing covers a diverse range of topics, including computational models inspired by natural systems, evolutionary algorithms, and swarm intelligence. Seeking to bridge the gap between theoretical research and practical applications, this journal serves researchers, professionals, and students by providing insights and advancements in the field. With a commitment to fostering innovation, Natural Computing aims to push the boundaries of understanding in computational methods inspired by nature, making it an essential resource for those looking to contribute to and stay updated within this dynamic area.

Quantum Machine Intelligence

Shaping the future of intelligence through quantum advancements.
Publisher: SPRINGERNATUREISSN: 2524-4906Frequency: 1 issue/year

Quantum Machine Intelligence is a leading academic journal published by Springer Nature, focusing on the rapidly evolving intersection of quantum computing and artificial intelligence. With an impressive impact factor reflected in its prestigious ranking in various categories—Q1 in Applied Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science, alongside Q2 in Artificial Intelligence and Software—this journal serves as a vital platform for disseminating innovative research from 2019 to 2024. Researchers, professionals, and students are encouraged to engage with the journal’s content, which features high-quality peer-reviewed articles that explore theoretical foundations and practical applications of quantum technologies in machine intelligence. Although the journal operates under traditional subscription models, it is committed to advancing open academic discourse and accessibility in the digital age. With Scopus rankings that place it among the top echelons of its fields, the journal is an essential resource for anyone interested in the transformative potential of quantum algorithms and AI.

International Journal of Intelligent Computing and Cybernetics

Unleashing Potential in Intelligent Computing and Cybernetic Solutions
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 1756-378XFrequency: 4 issues/year

The International Journal of Intelligent Computing and Cybernetics, published by EMERALD GROUP PUBLISHING LTD, serves as a pivotal platform for advancing the field of intelligent computing and cybernetics since its inception in 2008. With a strong focus on innovative research and interdisciplinary collaboration, this journal is positioned in the prestigious Q2 category of Computer Science, ranking at an impressive 42nd out of 232 in Scopus, reflecting an 82nd percentile performance. The journal provides a venue for scholars and practitioners to disseminate their findings on cutting-edge technologies and methodologies that bridge the realms of computing, artificial intelligence, and cybersecurity. Although currently not an open-access journal, it widely circulates valuable insights essential for driving forward academic discourse and practical applications in the rapidly evolving digital landscape. Researchers, professionals, and students are encouraged to engage with this journal to stay at the forefront of advancements in intelligent systems and cybernetic solutions.

International Journal of Knowledge-Based and Intelligent Engineering Systems

Unleashing Potential through Intelligent System Research
Publisher: IOS PRESSISSN: 1327-2314Frequency: 4 issues/year

The International Journal of Knowledge-Based and Intelligent Engineering Systems, published by IOS PRESS, serves as a vital platform for scholars and practitioners involved in the fields of Artificial Intelligence, Control and Systems Engineering, and Software Development. Founded in 2004 and continuously publishing through to 2024, this journal stands out with its comprehensive coverage of innovative methodologies and applications that leverage knowledge-based systems. Although currently listed in Q4 for Artificial Intelligence and Q3 for Control and Systems Engineering, it features an increasing trajectory in the scientific community, as indicated by its rankings in Scopus—which reflects the growing importance of intelligent engineering systems in contemporary research. With a commitment to disseminating cutting-edge research without open access constraints, this journal is essential for those seeking to understand and contribute to advancements in intelligent systems. Join a global community of researchers and industry leaders by engaging with the latest findings shared in this well-regarded journal.

International Journal of Mathematics and Computer Science

Bridging Theory and Application in Mathematics and Computing
Publisher: LEBANESE UNIVISSN: 1814-0424Frequency: 2 issues/year

The International Journal of Mathematics and Computer Science (ISSN: 1814-0424, E-ISSN: 1814-0432), published by Lebanese University, serves as a vital platform for disseminating innovative research and advancements in the fields of mathematics and computer science. With a compelling range of topics including Algebra, Applied Mathematics, Computational Mathematics, and Statistical Analysis, this journal caters to a broad audience of researchers, professionals, and students. Spanning the years from 2017 to 2025, it has established a presence in several key quartiles, including Q3 rankings in Applied Mathematics and Computational Mathematics, and a Q4 ranking in Algebra and Number Theory. While currently not an open-access journal, it provides valuable insights through its rigorous peer-reviewed process, enhancing its relevance in both theoretical and applied domains. Furthermore, its presence in Scopus rankings reflects its commitment to quality, making it an essential resource for anyone looking to explore the intersection of mathematics and computer science.

International Journal of Fuzzy Logic and Intelligent Systems

Unveiling the Future of Fuzzy Logic Applications
Publisher: KOREAN INST INTELLIGENT SYSTEMSISSN: 1598-2645Frequency: 4 issues/year

International Journal of Fuzzy Logic and Intelligent Systems, ISSN: 1598-2645, is a prestigious journal published by the Korean Institute of Intelligent Systems, dedicated to advancing the fields of Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications, Logic, and Signal Processing. Established to foster interdisciplinary research, this journal has quickly established its reputation, reaching a respectable Q3 quartile ranking across multiple categories in 2023. It serves as a vital resource for researchers, professionals, and students, offering insights into cutting-edge methodologies and innovative applications of fuzzy logic and intelligent systems. With a focus on disseminating high-quality research, the journal attracts contributions that drive the evolution of intelligent technologies and their practical implications. Published from South Korea, the journal is positioned to impact the global community, facilitating a deeper understanding of intelligent systems in various domains.

APPLIED INTELLIGENCE

Advancing the frontiers of Artificial Intelligence applications.
Publisher: SPRINGERISSN: 0924-669XFrequency: 12 issues/year

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

International Journal of Computing Science and Mathematics

Bridging Theoretical Insights with Practical Applications
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1752-5055Frequency: 6 issues/year

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

NEURAL COMPUTING & APPLICATIONS

Charting New Territories in Neural Computing Research
Publisher: SPRINGER LONDON LTDISSN: 0941-0643Frequency: 12 issues/year

NEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.

Journal of Electrical Systems

Empowering Innovation in Electrical and Electronic Engineering
Publisher: ENGINEERING & SCIENTIFIC RESEARCH GROUPSISSN: 1112-5209Frequency: 4 issues/year

The Journal of Electrical Systems is a prominent Open Access journal published by the ENGINEERING & SCIENTIFIC RESEARCH GROUPS since 2005, dedicated to presenting valuable research in the realms of Electrical and Electronic Engineering as well as Computer Science. With an ISSN of 1112-5209 and an E-ISSN of 1112-5209, this journal seeks to foster innovation and share knowledge among researchers and practitioners operating in these critical fields. Operating out of Paris, France, the journal has made significant strides despite recent categorizations placing it in the Q4 quartile of Computer Science and Electrical and Electronic Engineering. Its ongoing commitment to disseminating impactful findings is underscored by its open accessibility, enabling a wider audience to engage with research that spans various interdisciplinary applications. The journal continuously invites contributions that enhance our understanding of electrical systems, empowering stakeholders at all levels to push the boundaries of technology and engineering.