# Hyeonjoon Moon

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hyeonjoon-moon/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,865 |
| Field | Face recognition and analysis |
| h-index | 34 |
| i10-index | 62 |
| Last Known Institution | Sejong University |
| OpenAlex ID | https://openalex.org/A5031881955 |
| ORCID iD | 0000-0001-7668-3838 |
| Works | 131 |

## Researcher papers

- [A Survey on Internet of Things and Cloud Computing for Healthcare](https://scholariq.org/papers/a-survey-on-internet-of-things-and-cloud-computing-for-healthcare/)
- [The FERET evaluation methodology for face-recognition algorithms](https://scholariq.org/papers/the-feret-evaluation-methodology-for-face-recognition-algorithms/)
- [The FERET evaluation methodology for face-recognition algorithms](https://scholariq.org/papers/the-feret-evaluation-methodology-for-face-recognition-algorithms-2/)
- [Crop pest recognition in natural scenes using convolutional neural networks](https://scholariq.org/papers/crop-pest-recognition-in-natural-scenes-using-convolutional-neural-networks/)
- [Underground sewer pipe condition assessment based on convolutional neural networks](https://scholariq.org/papers/underground-sewer-pipe-condition-assessment-based-on-convolutional-neural/)
- [Plant Disease Detection in Imbalanced Datasets Using Efficient Convolutional Neural Networks With Stepwise Transfer Learning](https://scholariq.org/papers/plant-disease-detection-in-imbalanced-datasets-using-efficient-convolutional/)
- [A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving](https://scholariq.org/papers/a-deep-learning-based-hybrid-framework-for-object-detection-and-recognition-in/)
- [Background Information of Deep Learning for Structural Engineering](https://scholariq.org/papers/background-information-of-deep-learning-for-structural-engineering/)
- [Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities](https://scholariq.org/papers/leukocytes-classification-and-segmentation-in-microscopic-blood-smear-a-resource/)
- [The FERET verification testing protocol for face recognition algorithms](https://scholariq.org/papers/the-feret-verification-testing-protocol-for-face-recognition-algorithms/)

## Researcher topics

- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Researcher university

- [Sejong University](https://scholariq.org/institutions/sejong-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.