# Junde Chen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/junde-chen/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,555 |
| Field | Smart Agriculture and AI |
| h-index | 35 |
| i10-index | 59 |
| Last Known Institution | Xiangtan University |
| OpenAlex ID | https://openalex.org/A5030241951 |
| ORCID iD | 0000-0003-1748-4374 |
| Works | 95 |

## Researcher papers

- [Using deep transfer learning for image-based plant disease identification](https://scholariq.org/papers/using-deep-transfer-learning-for-image-based-plant-disease-identification/)
- [Detection of rice plant diseases based on deep transfer learning](https://scholariq.org/papers/detection-of-rice-plant-diseases-based-on-deep-transfer-learning/)
- [Identification of rice plant diseases using lightweight attention networks](https://scholariq.org/papers/identification-of-rice-plant-diseases-using-lightweight-attention-networks/)
- [Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals](https://scholariq.org/papers/riverside-landslide-susceptibility-overview-leveraging-artificial-neural/)
- [Comparative Analysis for Slope Stability by Using Machine Learning Methods](https://scholariq.org/papers/comparative-analysis-for-slope-stability-by-using-machine-learning-methods/)
- [RETRACTED ARTICLE: Recognition of plant leaf diseases based on computer vision](https://scholariq.org/papers/retracted-article-recognition-of-plant-leaf-diseases-based-on-computer-vision/)
- [Identifying crop diseases using attention embedded MobileNet-V2 model](https://scholariq.org/papers/identifying-crop-diseases-using-attention-embedded-mobilenet-v2-model/)
- [Attention embedded lightweight network for maize disease recognition](https://scholariq.org/papers/attention-embedded-lightweight-network-for-maize-disease-recognition/)
- [Rapid isolation of high purity pepsin-soluble type I collagen from scales of red drum fish (Sciaenops ocellatus)](https://scholariq.org/papers/rapid-isolation-of-high-purity-pepsin-soluble-type-i-collagen-from-scales-of-red/)
- [Lightweight Inception Networks for the Recognition and Detection of Rice Plant Diseases](https://scholariq.org/papers/lightweight-inception-networks-for-the-recognition-and-detection-of-rice-plant/)
- [MS-DNet: A mobile neural network for plant disease identification](https://scholariq.org/papers/ms-dnet-a-mobile-neural-network-for-plant-disease-identification/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Collagen: Extraction and Characterization](https://scholariq.org/topics/collagen-extraction-and-characterization/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Meat and Animal Product Quality](https://scholariq.org/topics/meat-and-animal-product-quality/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

## Researcher university

- [Xiangtan University](https://scholariq.org/institutions/xiangtan-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.