# Suneet Gupta

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/suneet-gupta/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,002 |
| Field | Smart Agriculture and AI |
| h-index | 27 |
| i10-index | 43 |
| Last Known Institution | University of Petroleum and Energy Studies |
| OpenAlex ID | https://openalex.org/A5042514819 |
| ORCID iD | 0000-0002-5086-8401 |
| Works | 68 |

## Researcher papers

- [ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network](https://scholariq.org/papers/toled-tomato-leaf-disease-detection-using-convolution-neural-network/)
- [Development of Efficient CNN model for Tomato crop disease identification](https://scholariq.org/papers/development-of-efficient-cnn-model-for-tomato-crop-disease-identification/)
- [Human activity recognition in artificial intelligence framework: a narrative review](https://scholariq.org/papers/human-activity-recognition-in-artificial-intelligence-framework-a-narrative/)
- [Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer](https://scholariq.org/papers/effective-image-processing-and-segmentation-based-machine-learning-techniques/)
- [3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0](https://scholariq.org/papers/3-d-optimized-classification-and-characterization-artificial-intelligence/)
- [UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias](https://scholariq.org/papers/unet-deep-learning-architecture-for-segmentation-of-vascular-and-non-vascular/)
- [Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application](https://scholariq.org/papers/multimodality-carotid-plaque-tissue-characterization-and-classification-in-the/)
- [A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence](https://scholariq.org/papers/a-narrative-review-on-characterization-of-acute-respiratory-distress-syndrome-in/)
- [Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system](https://scholariq.org/papers/ultrasound-based-internal-carotid-artery-plaque-characterization-using-deep/)
- [A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework](https://scholariq.org/papers/a-hybrid-deep-learning-paradigm-for-carotid-plaque-tissue-characterization-and/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Cardiovascular Health and Disease Prevention](https://scholariq.org/topics/cardiovascular-health-and-disease-prevention/)

## Researcher university

- [University of Petroleum and Energy Studies](https://scholariq.org/institutions/university-of-petroleum-and-energy-studies/)

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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.