# King Salman Center for Disability Research

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/king-salman-center-for-disability-research/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 15 |
| Citations | 9,390 |
| City | Riyadh |
| Country | SA |
| Description | King Salman Center for Disability Research is a research organisation in Riyadh, SA. OpenAlex records 643 works and 9,390 citations for it. 242 researchers list it as their most recent affiliation. |
| Homepage | https://www.kscdr.org.sa/en |
| OpenAlex ID | https://openalex.org/I4210107237 |
| Researchers | 242 |
| ROR ID | https://ror.org/01ht2b307 |
| Type | nonprofit |
| Works | 643 |

## University papers

- [Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model](https://scholariq.org/papers/automated-detection-and-classification-of-fundus-diabetic-retinopathy-images/)
- [Deep Learning with Backtracking Search Optimization Based Skin Lesion Diagnosis Model](https://scholariq.org/papers/deep-learning-with-backtracking-search-optimization-based-skin-lesion-diagnosis/)
- [An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers](https://scholariq.org/papers/an-automated-hyperparameter-tuned-deep-learning-model-enabled-facial-emotion/)
- [A Lightweight Diabetic Retinopathy Detection Model Using a Deep-Learning Technique](https://scholariq.org/papers/a-lightweight-diabetic-retinopathy-detection-model-using-a-deep-learning/)
- [Lung Cancer Detection Model Using Deep Learning Technique](https://scholariq.org/papers/lung-cancer-detection-model-using-deep-learning-technique/)
- [Artificial Intelligence-Driven Eye Disease Classification Model](https://scholariq.org/papers/artificial-intelligence-driven-eye-disease-classification-model/)
- [Resource Provisioning for Cyber–Physical–Social System in Cloud-Fog-Edge Computing Using Optimal Flower Pollination Algorithm](https://scholariq.org/papers/resource-provisioning-for-cyber-physical-social-system-in-cloud-fog-edge/)
- [Deep Learning with Natural Language Processing Enabled Sentimental Analysis on Sarcasm Classification](https://scholariq.org/papers/deep-learning-with-natural-language-processing-enabled-sentimental-analysis-on/)
- [A Feature-Fusion Technique-Based Alzheimer’s Disease Classification Using Magnetic Resonance Imaging](https://scholariq.org/papers/a-feature-fusion-technique-based-alzheimer-s-disease-classification-using/)
- [Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique](https://scholariq.org/papers/detecting-coronary-artery-disease-from-computed-tomography-images-using-a-deep/)
- [Deep Learning-Based Model for Detecting Dyslexia Using Handwritten Images](https://scholariq.org/papers/deep-learning-based-model-for-detecting-dyslexia-using-handwritten-images/)

## University researchers

- [Abdul Rahaman Wahab Sait](https://scholariq.org/researchers/abdul-rahaman-wahab-sait/)

## University top topics

Showing 8 of 25.

- [Tactile and Sensory Interactions](https://scholariq.org/topics/tactile-and-sensory-interactions/)
- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Mental Health Treatment and Access](https://scholariq.org/topics/mental-health-treatment-and-access/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Autism Spectrum Disorder Research](https://scholariq.org/topics/autism-spectrum-disorder-research/)
- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Stroke Rehabilitation and Recovery](https://scholariq.org/topics/stroke-rehabilitation-and-recovery/)

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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.