International Journal of Knowledge-Based and Intelligent Engineering Systems

Aims & Scope

The aim of research into Knowledge-Based and Intelligent Engineering is to develop systems that replicate the analytical, problem solving and learning capabilities of the brain.

These systems bring the benefits of knowledge and intelligence to the solution of complex problems.

This international journal provides a forum for publishing the results of recent research into the applications of intelligent systems, and also the tools and techniques necessary for them.

Authors are invited to submit original unpublished work that is not currently under consideration for publication elsewhere, on the following topics: Generic Intelligent Tools, Techniques and Algorithms: Knowledge-Based Systems, Expert Systems, Neural Networks, Fuzzy Techniques and Systems, Genetic Algorithms and Evolutionary Computing, Hybrid Intelligent Systems, Intelligent Agents and Multi-Agent Systems, Knowledge Discovery and Data Mining, Machine Learning, ...

Applications using Intelligent Techniques: Industrial Control and Monitoring, Fault Diagnosis, Robotics, Image Processing, Machine & Computer Vision, Medical & Diagnostic Systems, Financial & Stock Market Monitoring and Prediction, Speech Processing and Synthesis, Natural Language Processing, ...

Emerging Intelligent Technologies: Artificial Intelligence and the Internet, Information Agents on the Internet, Intelligent E-commerce/E-business and E-learning, Intelligent Information Retrieval, Intelligent Web Mining & Applications, Intelligent User Interfaces, ...

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	0.60

Journal Rank

Year	Value
2024	16816

Journal Citation Indicator

Year	Value
2024	171

SJR (SCImago Journal Rank)

Year	Value
2024	0.295

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	25

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences, Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Pythagorean fuzzy Hamacher aggregation operators and their application to multiple attribute decision making

  Citation: 65

  Authors: Sheng-Jun, Gui-Wu

• The world of independent learners is not markovian

  Citation: 47

  Authors: Guillaume J., Laëtitia, N.

• Dynamic route planning for car navigation systems using virus genetic algorithms

  Citation: 39

  Authors: Hitoshi

• Approaches to multiple attribute group decision making based on the generalized Dice similarity measures with intuitionistic fuzzy information

  Citation: 34

  Authors: Yu, Ling-Ling, Gui-Wu

• Analysis of deep learning frameworks for object detection in motion

  Citation: 33

  Authors: Vaishnavi, Shriya Varada, Sanjana, Ashwini, Kusuma

• Interval-valued dual hesitant fuzzy linguistic geometric aggregation operators in multiple attribute decision making

  Citation: 30

  Authors: Gui-Wu, Xin-Rui, De-Xue

• Models for multiple attribute decision making with dual hesitant fuzzy uncertain linguistic information

  Citation: 30

  Authors: Mao, Gui-Wu

• Combination and optimization of classifiers in gender classification using genetic programming

  Citation: 29

  Authors: Asifullah, Abdul, Anwar M.

• An inclusion/exclusion fuzzy hyperbox classifier

  Citation: 26

  Authors: Andrzej, Witold, Masahiro

• A critical review and analysis on techniques of speech recognition: The road ahead

  Citation: 25

  Authors: Arul Valiyavalappil, Ramalatha, Vaazi Gangadharan

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