Engineering Applications of Artificial Intelligence

Aims & Scope

Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies.

AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems.

This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering.

Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	8

SJR (SCImago Journal Rank)

Year	Value
2024	1.652

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	149

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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 and Engineering, 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.

• Ensemble deep learning: A review

  Citation: 1414

  Authors: M.A., Minghui, A.K., M., P.N.

• A review on time series data mining

  Citation: 1120

  Authors: Tak-chung

• Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization

  Citation: 1068

  Authors: Satnam, Lalit K., A.L., Gaurav

• An effective co-evolutionary particle swarm optimization for constrained engineering design problems

  Citation: 961

  Authors: Qie, Ling

• Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications

  Citation: 902

  Authors: Weiguo, Zhenxing, Liying

• Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems

  Citation: 681

  Authors: Vahideh, Ali Asghar

• A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

  Citation: 679

  Authors: Absalom E., Abiodun M., Olaide O., Laith, Jeffery O., Christopher I., Andronicus A.

• Agent-based distributed manufacturing control: A state-of-the-art survey

  Citation: 650

  Authors: Paulo

• Differential Evolution: A review of more than two decades of research

  Citation: 616

  Authors: Millie, Hira, Laura, Ajith

• Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

  Citation: 578

  Authors: Liying, Qingjiao, Zhenxing, Seyedali, Weiguo

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