# Saleh Albahli

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/saleh-albahli/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,287 |
| Field | COVID-19 diagnosis using AI |
| h-index | 28 |
| i10-index | 50 |
| Last Known Institution | Kent State University |
| OpenAlex ID | https://openalex.org/A5074765021 |
| ORCID iD | 0000-0001-6317-4313 |
| Works | 83 |

## Researcher papers

- [A novel deep learning method for detection and classification of plant diseases](https://scholariq.org/papers/a-novel-deep-learning-method-for-detection-and-classification-of-plant-diseases/)
- [Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour](https://scholariq.org/papers/melanoma-lesion-detection-and-segmentation-using-yolov4-darknet-and-active/)
- [Efficient GAN-based Chest Radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia](https://scholariq.org/papers/efficient-gan-based-chest-radiographs-cxr-augmentation-to-diagnose-coronavirus/)
- [An improved faster-RCNN model for handwritten character recognition](https://scholariq.org/papers/an-improved-faster-rcnn-model-for-handwritten-character-recognition/)
- [AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays](https://scholariq.org/papers/ai-driven-deep-cnn-approach-for-multi-label-pathology-classification-using-chest/)
- [Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network](https://scholariq.org/papers/artificial-intelligence-based-drone-system-for-multiclass-plant-disease/)
- [Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet](https://scholariq.org/papers/coronavirus-disease-covid-19-detection-using-x-ray-images-and-enhanced-densenet/)
- [Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification](https://scholariq.org/papers/custom-cornernet-a-drone-based-improved-deep-learning-technique-for-large-scale/)
- [Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM](https://scholariq.org/papers/improving-the-efficiency-of-multistep-short-term-electricity-load-forecasting/)
- [Arabic Handwritten Recognition Using Deep Learning: A Survey](https://scholariq.org/papers/arabic-handwritten-recognition-using-deep-learning-a-survey/)
- [Efficient attention-based CNN network (EANet) for multi-class maize crop disease classification](https://scholariq.org/papers/efficient-attention-based-cnn-network-eanet-for-multi-class-maize-crop-disease/)

## Researcher topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Researcher university

- [Kent State University](https://scholariq.org/institutions/kent-state-university/)

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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.