All fields · Computer Science Applications

JournalQ1· SCImago 2025

Discover Artificial Intelligence

ISSN 2731-0809

• Q1Quartile
• 1.00SJR
• 27h-index
• 24papers summarised

About this journal

Discover Artificial Intelligence is a Q1 journal by SCImago Journal Rank (2025 data), with an SJR of 1.00 and an h-index of 27. Most of its papers in the Pofolia pool fall under Computer Science Applications. Pofolia holds AI summaries of 24 paper(s) from this journal; the most cited is “Trustworthy and privacy-preserving decentralized federated learning with multi-layer…” (1 citations).

The quartile (Q1–Q4) is the journal's percentile position within its subject area by SCImago Journal Rank; Q1 is the top 25%. What is a Q1 journal? · What is the h-index?

Most-cited papers in Computer Science Applications →

Papers we summarise from this journal

• Trustworthy and privacy-preserving decentralized federated learning with multi-layer defense for secure collaborative AI2026 · 1 citations
• Deep reinforcement learning-driven assessment and personalized educational strategies for college students using innovation and entrepreneurship-related educational proxies2026 · 0 citations
• AI-driven scientific discovery requires scientific maturity beyond model opacity2026 · 0 citations
• Modality aware feature taxonomy for robust AI driven intrusion detection across heterogeneous cyber physical data2026 · 0 citations
• Research on algorithm optimization for immersive football match broadcasting user experience assessment based on VR multimodal data fusion2026 · 0 citations
• Beyond the average association between artificial intelligence and sales performance2026 · 0 citations
• A deployment-efficient CNN-LSTM framework for real-time malicious traffic detection across heterogeneous, imbalanced, and encrypted network traffic2026 · 0 citations
• A scoping review mapping the role of Husserlian phenomenology in artificial intelligence research2026 · 0 citations
• A study on a visualization teaching system for regional music based on the multimodal MusicFormer2026 · 0 citations
• Predicting English learning performance in vocational colleges using explainable large language models2026 · 0 citations
• Application of dynamic symbolic execution and test coverage enhancement combined with artificial intelligence in large-scale web software systems2026 · 0 citations
• The personalized psychological intervention optimization system of transformer temporal modeling and deep reinforcement learning collaboration2026 · 0 citations
• Testing the dimensionality of public attitudes toward artificial intelligence2026 · 0 citations
• ClusSumm a user centered hierarchical clustering and adaptive transformer framework for efficient summarization of MOOC learner reviews2026 · 0 citations
• Leakage-aware benchmarking and controlled ablation of attention models for student performance prediction across multiple tabular datasets2026 · 0 citations
• Explainable artificial intelligence driven dynamic evaluation framework for Industry 4.0 oriented talent cultivation in higher education2026 · 0 citations
• Computing intelligent models for cross-border E-commerce supply chain optimization using artificial intelligence2026 · 0 citations
• Uncovering the drivers of IPO underpricing in Malaysia through machine learning benchmarking2026 · 0 citations
• Bayesian belief-to-action planning for truck–drone emergency routing2026 · 0 citations
• Digital currency money laundering identification model based on graph structure and transformer self-supervised learning2026 · 0 citations
• Admissibility defines structural limits on optimisation in artificial intelligence2026 · 0 citations
• An integrative theoretical model of AI-supported cybersecurity governance and organizational resilience2026 · 0 citations
• Deep learning based optimization of personalized psychological counseling strategies2026 · 0 citations
• A random forest framework for automated fault classification in analog filter circuits using simulation-derived features2026 · 0 citations

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