# Array

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/array/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 1,420 |
| Citations | 11,581 |
| h-index | 47 |
| Homepage | https://www.journals.elsevier.com/array |
| Open Access | true |
| ISSN-L | 2590-0056 |
| ISSNs | 2590-0056 |
| OpenAlex ID | https://openalex.org/S4210194039 |
| Publisher | Elsevier BV |
| Works | 1,053 |

## Journal papers

- [A systematic review of meta-heuristic algorithms in IoT based application](https://scholariq.org/papers/a-systematic-review-of-meta-heuristic-algorithms-in-iot-based-application/)
- [Detection of developmental dyslexia with machine learning using eye movement data](https://scholariq.org/papers/detection-of-developmental-dyslexia-with-machine-learning-using-eye-movement/)
- [CNN-ViT: A multi-feature learning based approach for driver drowsiness detection](https://scholariq.org/papers/cnn-vit-a-multi-feature-learning-based-approach-for-driver-drowsiness-detection/)
- [A deep semantic analysis based on sparse feature fusion and knowledge distillation in urban planning](https://scholariq.org/papers/a-deep-semantic-analysis-based-on-sparse-feature-fusion-and-knowledge/)

## Journal top topics

Showing 8 of 25.

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.