International Journal of Advances in Soft Computing and its Applications

Aims & Scope

The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on advances in Soft Computing and its applications.

IJASCA only publishes work of the highest quality possible.

Submissions will be evaluated on their originality and significance.

IJASCA invites submissions in all areas of Soft Computing and its applications.The scope of the journal includes, but is not limited to: -Soft Computing Fundamental and Optimization.- Soft Computing for Big Data Era.- GPU Computing for Machine Learning.- Soft Computing Modeling for Perception and Spiritual Intelligence.- Soft Computing and Agents Technology.- Soft Computing in Computer Graphics.- Soft Computing and Pattern Recognition.- Soft Computing in Biomimetic Pattern Recognition.- Data mining for Social Network Data.- Spatial Data Mining & Information Retrieval.- Intelligent Software Agent Systems and Architectures.- Advanced Soft Computing and Multi-Objective Evolutionary Computation.- Perception-Based Intelligent Decision Systems.- Spiritual-Based Intelligent Systems.- Soft Computing in Industry Applications .- Other issues related to the Advances of Soft Computing in various applications.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	14617

Journal Citation Indicator

Year	Value
2024	403

SJR (SCImago Journal Rank)

Year	Value
2024	0.369

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	26

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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

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Subjects & Keywords

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

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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.

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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.

• Web Scraping or Web Crawling: State of Art, Techniques, Approaches and Application

  Citation: 143

  Authors: Moaiad

• Design Fractional-order PID Controllers for Single-Joint Robot Arm Model

  Citation: 23

  Authors: Iqbal, Suhaib, Radwan, Amjed, Amer, Shaher

• Financial Technology as a Basis for Financial Inclusion and its Impact on Profitability: Evidence from Commercial Banks

  Citation: 12

  Authors: Abdul Razzak, Haneen

• Supervised Learning Algorithms for Predicting Customer Churn with Hyperparameter Optimization

  Citation: 10

  Authors: Manal

• Analysis of World Happiness Report Dataset Using Machine Learning Approaches

  Citation: 10

  Authors: Moaiad, Mohammad, Samah

• Generative Adversarial Network for an Improved Arabic Handwritten Characters Recognition

  Citation: 10

  Authors: Yazan, Mumtazimah, Ahmad

• E-learning Mobile Application Evaluation: Al-Zaytoonah University as a Case Study

  Citation: 10

  Authors: Khalid, Mohammad, Amal, Mohammad, Nouh

• IoT Forensic Frameworks (DFIF, IoTDOTS, FSAIoT): A Comprehensive Study

  Citation: 9

  Authors: Mohammad, Ghassan, Mohammad

• Sustainable Development: A Semantics-aware Trends for Movies Recommendation System using Modern NLP

  Citation: 8

  Authors: Shadi, Amjed, Samar

• Bilingual Text Classification in English and Indonesian via Transfer Learning using XLM-RoBERTa

  Citation: 8

  Authors: Yakobus, Julio, Andre

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