Complex and Intelligent Systems

Aims & Scope

Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization.

The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.

Key topics of focus include: • Complexity - Complex evolutionary and adaptive Systems - Emergent properties and behavior in complex Systems - Self-organizing collective systems - Biological and social inspirations in problem solving - Systems Science and Engineering • Intelligent Data Analytics - Data mining and knowledge discovery - Machine learning - Pattern recognition - Big Data Analytics and data science - Data-driven problem solving • Computational Simulation - Knowledge-based Systems - Agent based Systems - Uncertainty modeling - Decision support Systems - Brain-like computing - Ubiquitous computing - Computational visualization and interaction

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, Engineering and Mathematics, 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, Engineering and Mathematics, 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 1,890.00 EUR. 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.

• Feature dimensionality reduction: a review

  Citation: 514

  Authors: Weikuan, Meili, Jian, Sujuan

• A benchmark test suite for evolutionary many-objective optimization

  Citation: 418

  Authors: Ran, Miqing, Ye, Xingyi, Shengxiang, Yaochu, Xin

• Brain tumor detection and classification using machine learning: a comprehensive survey

  Citation: 324

  Authors: Javaria, Muhammad, Anandakumar, Mussarat, Ramesh Sundar

• Artificial intelligence in recommender systems

  Citation: 322

  Authors: Qian, Jie, Yaochu

• On some distance measures of complex Pythagorean fuzzy sets and their applications in pattern recognition

  Citation: 308

  Authors: Kifayat, Tahir, Zeeshan, Naeem

• Methods for image denoising using convolutional neural network: a review

  Citation: 268

  Authors: Ademola E., Taiwo O.

• Overview and methods of correlation filter algorithms in object tracking

  Citation: 263

  Authors: Shuai, Dongye, Gautam, Dawid, Marcin

• Deep learning based brain tumor segmentation: a survey

  Citation: 249

  Authors: Zhihua, Lei, Long, Zheheng, Feixiang, Qianni, Xiangrong, Yaochu, Huiyu

• Social group optimization (SGO): a new population evolutionary optimization technique

  Citation: 246

  Authors: Suresh, Anima

• Industry 4.0, a revolution that requires technology and national strategies

  Citation: 244

  Authors: Fengwei, Sai