# Shaqra University

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/shaqra-university/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 22.4 |
| Citations | 149,263 |
| City | Riyadh |
| Country | SA |
| Description | Shaqra University is a research organisation in Riyadh, SA. OpenAlex records 8,985 works and 149,263 citations for it. 2,630 researchers list it as their most recent affiliation. |
| Homepage | http://www.su.edu.sa/ |
| OpenAlex ID | https://openalex.org/I206935292 |
| Researchers | 2,630 |
| ROR ID | https://ror.org/05hawb687 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q12204502 |
| Works | 8,985 |

## University papers

- [Developing an Open Domain Arabic Question Answering System Using a Deep Learning Technique](https://scholariq.org/papers/developing-an-open-domain-arabic-question-answering-system-using-a-deep-learning/)
- [Security in Wireless Sensor Network](https://scholariq.org/papers/security-in-wireless-sensor-network/)
- [A Review of Artificial Intelligence-Based Dyslexia Detection Techniques](https://scholariq.org/papers/a-review-of-artificial-intelligence-based-dyslexia-detection-techniques/)
- [A comprehensive survey of techniques for developing an Arabic question answering system](https://scholariq.org/papers/a-comprehensive-survey-of-techniques-for-developing-an-arabic-question-answering/)
- [Deep learning-driven dyslexia detection model using multi-modality data](https://scholariq.org/papers/deep-learning-driven-dyslexia-detection-model-using-multi-modality-data/)
- [Readability as a basis for information security policy assessment](https://scholariq.org/papers/readability-as-a-basis-for-information-security-policy-assessment/)
- [Deep Learning-Based Model for Detecting Dyslexia Using Handwritten Images](https://scholariq.org/papers/deep-learning-based-model-for-detecting-dyslexia-using-handwritten-images/)
- [Multi-Modal Dyslexia Detection Model via SWIN Transformer With Closed-Form Continuous Time Networks](https://scholariq.org/papers/multi-modal-dyslexia-detection-model-via-swin-transformer-with-closed-form/)
- [Adopting Automated Penetration Testing Tools](https://scholariq.org/papers/adopting-automated-penetration-testing-tools/)
- [Evaluating readability as a factor in information security policies](https://scholariq.org/papers/evaluating-readability-as-a-factor-in-information-security-policies/)
- [Fluorescence-based determination of cyclic adenosine monophosphate in nasal secretions of healthy and post COVID-19 patients using Tinopal CBS-X](https://scholariq.org/papers/fluorescence-based-determination-of-cyclic-adenosine-monophosphate-in-nasal/)

## University researchers

- [Yazeed Alkhurayyif](https://scholariq.org/researchers/yazeed-alkhurayyif/)
- [Ghaida M Alruways](https://scholariq.org/researchers/ghaida-m-alruways/)
- [Reem A Alhafi](https://scholariq.org/researchers/reem-a-alhafi/)

## University top topics

Showing 8 of 24.

- [Synthesis and biological activity](https://scholariq.org/topics/synthesis-and-biological-activity/)
- [Nanoparticles: synthesis and applications](https://scholariq.org/topics/nanoparticles-synthesis-and-applications/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Synthesis and Characterization of Heterocyclic Compounds](https://scholariq.org/topics/synthesis-and-characterization-of-heterocyclic-compounds/)
- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Organizational and Employee Performance](https://scholariq.org/topics/organizational-and-employee-performance/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

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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.