Applied Computational Intelligence and Soft Computing

Aims & Scope

Applied Computational Intelligence and Soft Computing will focus on the disciplines of computer science, engineering, and mathematics.

The scope of the journal includes developing applications related to all aspects of natural and social sciences by employing the technologies of computational intelligence and soft computing.

The new applications of using computational intelligence and soft computing are still in development.

Although computational intelligence and soft computing are established fields, the new applications of using computational intelligence and soft computing can be regarded as an emerging field, which is the focus of this journal.

Metrics & Ranking

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

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.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Engineering, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 950.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

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.

• Modified Grey Wolf Optimizer for Global Engineering Optimization

  Citation: 218

  Authors: Nitin, Urvinder, Balwinder Singh

• Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges

  Citation: 124

  Authors: Jetli, Jason

• Intelligent Model for Brain Tumor Identification Using Deep Learning

  Citation: 102

  Authors: Abdul Hannan, Sagheer, Muhammad Adnan, Umer, Wasim Ahmad, Shahan Yamin, Aiesha

• Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression

  Citation: 98

  Authors: A., J.

• A Review of Constraint-Handling Techniques for Evolution Strategies

  Citation: 83

  Authors: Oliver

• Tuning PID Controller Using Multiobjective Ant Colony Optimization

  Citation: 82

  Authors: Ibtissem, Noureddine, Pierre

• Deep Learning in Visual Computing and Signal Processing

  Citation: 76

  Authors: Danfeng, Lei, Li

• Lexicon-Based Sentiment Analysis of Teachers’ Evaluation

  Citation: 69

  Authors: Quratulain, Sajjad, Sayeed

• Deep Learning for Plastic Waste Classification System

  Citation: 67

  Authors: Janusz, Mariusz

• Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms

  Citation: 66

  Authors: Kaushalya, Md Gapar