# Sharda University

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

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 37 |
| Citations | 231,774 |
| City | Greater Noida |
| Country | IN |
| Description | Sharda University is a research organisation in Greater Noida, IN. OpenAlex records 14,586 works and 231,774 citations for it. 6,149 researchers list it as their most recent affiliation. |
| Homepage | https://www.sharda.ac.in |
| OpenAlex ID | https://openalex.org/I74885063 |
| Researchers | 6,149 |
| ROR ID | https://ror.org/03b6ffh07 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q7489464 |
| Works | 14,586 |

## University papers

- [Red fox optimizer based feature selection with optimal deep learning based Intrusion detection for network security](https://scholariq.org/papers/red-fox-optimizer-based-feature-selection-with-optimal-deep-learning-based/)
- [Wavelet Based Feature Extraction and T-Set Evaluation for Automatic Brain Tumor Detection and Classification](https://scholariq.org/papers/wavelet-based-feature-extraction-and-t-set-evaluation-for-automatic-brain-tumor/)
- [Smart Harvesting Solutions: Robotics in Fruit and Vegetable Harvesting for Reduced Labor Dependency](https://scholariq.org/papers/smart-harvesting-solutions-robotics-in-fruit-and-vegetable-harvesting-for/)
- [Revolutionizing E-Learning through AI: A Personalized and Adaptive Learning Ecosystem](https://scholariq.org/papers/revolutionizing-e-learning-through-ai-a-personalized-and-adaptive-learning/)
- [Optimal Stacked Autoencoder-Based Automated Parkinson’s Disease Detection by Implementing Feature Selection Process](https://scholariq.org/papers/optimal-stacked-autoencoder-based-automated-parkinson-s-disease-detection-by/)
- [Enhancing Intrusion Detection System Using Osprey Optimization Algorithm with Ensemble Learning Model](https://scholariq.org/papers/enhancing-intrusion-detection-system-using-osprey-optimization-algorithm-with/)
- [Deep Learning Based Model to Recommend Safe Route Navigation System](https://scholariq.org/papers/deep-learning-based-model-to-recommend-safe-route-navigation-system/)
- [Leveraging Chaotic Wind-Driven Optimization with Equilibrium Optimization Algorithm for Cluster-Based Routing in WSN](https://scholariq.org/papers/leveraging-chaotic-wind-driven-optimization-with-equilibrium-optimization/)
- [Hybrid Metaheuristics with Deep Learning-Assisted Parkinson’s Disease Detection and Classification](https://scholariq.org/papers/hybrid-metaheuristics-with-deep-learning-assisted-parkinson-s-disease-detection/)
- [Carbon Prompting: An Empirical Analysis of LLM-Based Requirement Classification](https://scholariq.org/papers/carbon-prompting-an-empirical-analysis-of-llm-based-requirement-classification/)
- [AI Driven Crop Disease Detection and Management System](https://scholariq.org/papers/ai-driven-crop-disease-detection-and-management-system/)

## University researchers

- [V Sathiyasuntharam](https://scholariq.org/researchers/v-sathiyasuntharam/)

## University top topics

Showing 8 of 25.

- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Nanoparticles: synthesis and applications](https://scholariq.org/topics/nanoparticles-synthesis-and-applications/)
- [Supercapacitor Materials and Fabrication](https://scholariq.org/topics/supercapacitor-materials-and-fabrication/)
- [Conducting polymers and applications](https://scholariq.org/topics/conducting-polymers-and-applications/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

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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.