# Saudi Heart Association

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/saudi-heart-association/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 12 |
| Citations | 236,553 |
| City | Riyadh |
| Country | SA |
| Description | Saudi Heart Association is a research organisation in Riyadh, SA. OpenAlex records 2,105 works and 236,553 citations for it. 1,124 researchers list it as their most recent affiliation. |
| Homepage | http://ksacpr.org.sa/ |
| OpenAlex ID | https://openalex.org/I4210103399 |
| Researchers | 1,124 |
| ROR ID | https://ror.org/01nrq5w30 |
| Type | nonprofit |
| Works | 2,105 |

## University papers

- [Deep learning for time series classification: a review](https://scholariq.org/papers/deep-learning-for-time-series-classification-a-review/)
- [Transfer learning for time series classification](https://scholariq.org/papers/transfer-learning-for-time-series-classification/)
- [Adversarial Attacks on Deep Neural Networks for Time Series Classification](https://scholariq.org/papers/adversarial-attacks-on-deep-neural-networks-for-time-series-classification/)
- [Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks](https://scholariq.org/papers/evaluating-surgical-skills-from-kinematic-data-using-convolutional-neural/)
- [Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks](https://scholariq.org/papers/accurate-and-interpretable-evaluation-of-surgical-skills-from-kinematic-data/)
- [Deep Neural Network Ensembles for Time Series Classification](https://scholariq.org/papers/deep-neural-network-ensembles-for-time-series-classification/)
- [Data augmentation using synthetic data for time series classification\n with deep residual networks](https://scholariq.org/papers/data-augmentation-using-synthetic-data-for-time-series-classification-n-with/)
- [Knowledge-driven Biometric Authentication in Virtual Reality](https://scholariq.org/papers/knowledge-driven-biometric-authentication-in-virtual-reality/)
- [Data augmentation using synthetic data for time series classification with deep residual networks](https://scholariq.org/papers/data-augmentation-using-synthetic-data-for-time-series-classification-with-deep/)
- [Surgical motion analysis using discriminative interpretable patterns](https://scholariq.org/papers/surgical-motion-analysis-using-discriminative-interpretable-patterns/)

## University researchers

- [Hassan Ismail Fawaz](https://scholariq.org/researchers/hassan-ismail-fawaz/)

## University top topics

Showing 8 of 25.

- [Pharmaceutical Practices and Patient Outcomes](https://scholariq.org/topics/pharmaceutical-practices-and-patient-outcomes/)
- [Islamic Finance and Banking Studies](https://scholariq.org/topics/islamic-finance-and-banking-studies/)
- [Energy, Environment, Economic Growth](https://scholariq.org/topics/energy-environment-economic-growth/)
- [Dental materials and restorations](https://scholariq.org/topics/dental-materials-and-restorations/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)
- [Dental Radiography and Imaging](https://scholariq.org/topics/dental-radiography-and-imaging/)
- [Obesity and Health Practices](https://scholariq.org/topics/obesity-and-health-practices/)

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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.