# Jeonbuk National University

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

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 65.6 |
| Citations | 3,089,682 |
| City | Jeonju |
| Country | KR |
| Description | Jeonbuk National University is a research organisation in Jeonju, KR. OpenAlex records 48,698 works and 3,089,682 citations for it. 12,771 researchers list it as their most recent affiliation. |
| Homepage | http://www.jbnu.ac.kr/kor/ |
| OpenAlex ID | https://openalex.org/I80611190 |
| Region | Jeollabuk-do |
| Researchers | 12,771 |
| ROR ID | https://ror.org/05q92br09 |
| Type | education |
| Works | 48,698 |

## University papers

Showing 12 of 18.

- [A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition](https://scholariq.org/papers/a-robust-deep-learning-based-detector-for-real-time-tomato-plant-diseases-and/)
- [A Comprehensive Survey of Image Augmentation Techniques for Deep Learning](https://scholariq.org/papers/a-comprehensive-survey-of-image-augmentation-techniques-for-deep-learning/)
- [Medical Image Fusion via an Effective Wavelet-Based Approach](https://scholariq.org/papers/medical-image-fusion-via-an-effective-wavelet-based-approach/)
- [High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank](https://scholariq.org/papers/high-performance-deep-neural-network-based-tomato-plant-diseases-and-pests/)
- [An available database for the research of finger vein recognition](https://scholariq.org/papers/an-available-database-for-the-research-of-finger-vein-recognition/)
- [Online sequential extreme learning machine with forgetting mechanism](https://scholariq.org/papers/online-sequential-extreme-learning-machine-with-forgetting-mechanism/)
- [Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information](https://scholariq.org/papers/deep-learning-based-hierarchical-cattle-behavior-recognition-with-spatio/)
- [Computer Vision in Healthcare Applications](https://scholariq.org/papers/computer-vision-in-healthcare-applications/)
- [Exploring finger vein based personal authentication for secure IoT](https://scholariq.org/papers/exploring-finger-vein-based-personal-authentication-for-secure-iot/)
- [A fingerprint verification algorithm using tessellated invariant moment features](https://scholariq.org/papers/a-fingerprint-verification-algorithm-using-tessellated-invariant-moment-features/)
- [Leukocyte image segmentation by visual attention and extreme learning machine](https://scholariq.org/papers/leukocyte-image-segmentation-by-visual-attention-and-extreme-learning-machine/)
- [Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition](https://scholariq.org/papers/style-consistent-image-translation-a-novel-data-augmentation-paradigm-to-improve/)

## University researchers

- [Dong Sun Park](https://scholariq.org/researchers/dong-sun-park/)
- [Alvaro Fuentes](https://scholariq.org/researchers/alvaro-fuentes/)

## University top topics

Showing 8 of 25.

- [Conducting polymers and applications](https://scholariq.org/topics/conducting-polymers-and-applications/)
- [ZnO doping and properties](https://scholariq.org/topics/zno-doping-and-properties/)
- [Particle physics theoretical and experimental studies](https://scholariq.org/topics/particle-physics-theoretical-and-experimental-studies/)
- [GaN-based semiconductor devices and materials](https://scholariq.org/topics/gan-based-semiconductor-devices-and-materials/)
- [Advanced Photocatalysis Techniques](https://scholariq.org/topics/advanced-photocatalysis-techniques/)
- [Supercapacitor Materials and Fabrication](https://scholariq.org/topics/supercapacitor-materials-and-fabrication/)
- [Advanced Sensor and Energy Harvesting Materials](https://scholariq.org/topics/advanced-sensor-and-energy-harvesting-materials/)
- [High-Energy Particle Collisions Research](https://scholariq.org/topics/high-energy-particle-collisions-research/)

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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.