Top citation year was 2025 with 81 citations. Average citations per year stand at 37. Each indexed article contributes around 5.08 citations on average. Latest CiteScore for 2026 is 11.27, indicating a Upward trend. Based on 2025 CiteScore comparison across active journals, this journal falls in Z3. Most cited article currently has 22 citations.
International Journal of Engineering and Computer Science Applications (IJECSA)
Explore the International Journal of Engineering and Computer Science Applications (IJECSA) journal profile, Computer Science research coverage, citation metrics and scholarly impact.
Journal Information
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Journal Metrics
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Smart Insight
DCS Trend
Most Cited Article
Handling Imbalance Data using Hybrid Sampling SMOTE-ENN in Lung Cancer Classification
Citation Snapshot
Current citation and indexing performance of this journal.
Yearly Citation Performance
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Yearly Citations
| Year | Citations |
|---|---|
| 2026 |
29
|
| 2025 |
81
|
| 2024 |
59
|
| 2023 |
10
|
| 2022 |
6
|
Citation Trend
About This Journal
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Computer Science
IJECSA emphasizes the practical implications and applications of computer science across diverse sectors, encompassing areas such as software engineering, network security, data analytics, and systems development. The journal particularly welcomes contributions that introduce novel applications of theoretical frameworks and principles of computer science to address real-world challenges, optimize technological processes, and foster advancements in the digital era.
Artificial Intelligence
A significant focus of the journal is the exploration, advancement, and ethical consideration of Artificial Intelligence (AI). We invite original research articles and comprehensive reviews addressing AI subfields, including machine learning, natural language processing, robotics, and expert systems. Submissions should examine the development, implementation, and societal impact of AI technologies, particularly their role in enhancing decision-making, problem-solving, and automation across multiple domains.
Computer Vision
In the field of computer vision, IJECSA aims to enrich the scientific community with state-of-the-art methodologies, algorithms, and applications. We encourage submissions that investigate topics such as image and video analysis, facial recognition, gesture interpretation, 3D modeling, and related areas. Studies that effectively bridge theoretical innovation with practical solutions—thereby advancing the capabilities and understanding of visual information processing—are especially valued.
Indexed Articles
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