All fields · Civil and Structural Engineering
JournalQ1· SCImago 2025
Engineering Applications of Artificial Intelligence
ISSN 0952-1976
- Q1Quartile
- 1.00SJR
- 169h-index
- 17papers summarised
About this journal
Engineering Applications of Artificial Intelligence is a Q1 journal by SCImago Journal Rank (2025 data), with an SJR of 1.00 and an h-index of 169. Most of its papers in the Pofolia pool fall under Civil and Structural Engineering. Pofolia holds AI summaries of 17 paper(s) from this journal; the most cited is “A lightweight deep learning architecture for crack segmentation in structural health…” (0 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 Civil and Structural Engineering →
Papers we summarise from this journal
- A lightweight deep learning architecture for crack segmentation in structural health monitoring2026 · 0 citations
- Beyond question and answer: Practical applications of multimodal and multifunctional large language models in ophthalmology with a scoping review and future directions2026 · 0 citations
- A generalizable supervised operator learning framework based on Kolmogorov–Arnold networks for structured grid generation with boundary control2026 · 0 citations
- Verification-gated agentic mission-state governance for intelligent industrial multi-robot systems2026 · 0 citations
- Personalized open-set intrusion detection with dynamic class discovery for heterogeneous Internet of Things2026 · 0 citations
- Evaluating and promoting urban public transportation systems: An intuitionistic fuzzy triangular divergence measure-based group decision-making analytics2026 · 0 citations
- Triangulation-sensitivity-guided view selection for structure from motion2026 · 0 citations
- A multi-attribute decoupled learning network for precise segmentation of complex defects on steel surface2026 · 0 citations
- A tri-stream dual-branch network for three-dimensional tooth segmentation2026 · 0 citations
- An integrated data-driven and experimental methodology for toroidal propeller design improvement2026 · 0 citations
- Explainable artificial intelligence for deep learning-based delamination detection in Carbon Fiber Reinforced Polymer composites2026 · 0 citations
- Towards edge-deployable non-destructive testing: A hardware-aware lightweight framework for real-time phased array ultrasonic testing of girth welds2026 · 0 citations
- Integrity-aware multi-sensor health monitoring of bridges via denoising variational autoencoder2026 · 0 citations
- Case-knowledge-guided construction-phase safety appraisal report generation for hydraulic and hydropower projects using large language models2026 · 0 citations
- A monotonic multi-output mixed-frequency quantile regression neural network for carbon price prediction2026 · 0 citations
- Multi-modal artificial intelligence-driven code quality prediction and self-healing automation using self-modulating convolutional neural networks2026 · 0 citations
- Data-driven seismic fragility and risk evaluation of existing reinforced-concrete bridge portfolios under limited data2026 · 0 citations
Journals in the same field
| Journal | Quartile | SJR | Summaries |
|---|---|---|---|
| Science | Q1 | 10.00 | 7 |
| Advanced Materials | Q1 | 8.00 | 1 |
| Cement and Concrete Research | Q1 | 6.00 | 2 |
| Physical Review X | Q1 | 6.00 | 1 |
| Nature Communications | Q1 | 4.00 | 1 |
| Annual Review of Materials Research | Q1 | 3.00 | 1 |
| Advanced Engineering Informatics | Q1 | 2.00 | 2 |
| Mechanical Systems and Signal Processing | Q1 | 2.00 | 2 |
| IEEE Transactions on Intelligent Transportation Systems | Q1 | 2.00 | 2 |
| Tunnelling and Underground Space Technology | Q1 | 2.00 | 1 |
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