# Jingchao Fan

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jingchao-fan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 475 |
| Field | Smart Agriculture and AI |
| h-index | 8 |
| i10-index | 8 |
| Last Known Institution | Agricultural Information Institute |
| OpenAlex ID | https://openalex.org/A5002536740 |
| ORCID iD | 0000-0003-2969-4117 |
| Works | 25 |

## Researcher papers

- [DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification](https://scholariq.org/papers/dfn-psan-multi-level-deep-information-feature-fusion-extraction-network-for/)
- [ITF-WPI: Image and text based cross-modal feature fusion model for wolfberry pest recognition](https://scholariq.org/papers/itf-wpi-image-and-text-based-cross-modal-feature-fusion-model-for-wolfberry-pest/)
- [PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism](https://scholariq.org/papers/pplc-net-neural-network-based-plant-disease-identification-model-supported-by/)
- [A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets](https://scholariq.org/papers/a-deep-learning-based-object-detection-scheme-by-improving-yolov5-for-sprouted/)
- [An Industrial-Grade Solution for Crop Disease Image Detection Tasks](https://scholariq.org/papers/an-industrial-grade-solution-for-crop-disease-image-detection-tasks/)
- [DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification](https://scholariq.org/papers/da-actnn-yolov5-hybrid-yolo-v5-model-with-data-augmentation-and-activation-of/)
- [KASP-IEva: an intelligent typing evaluation model for KASP primers](https://scholariq.org/papers/kasp-ieva-an-intelligent-typing-evaluation-model-for-kasp-primers/)
- [Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering](https://scholariq.org/papers/extracting-fruit-disease-knowledge-from-research-papers-based-on-large-language/)
- [Sonicated-assisted TGase treatment enhances the techno-functional properties and protein conformation of reduced-salt chicken meat batter](https://scholariq.org/papers/sonicated-assisted-tgase-treatment-enhances-the-techno-functional-properties-and/)
- [Combined effects of high-pressure processing and pre-emulsified sesame oil incorporation on physical, chemical, and functional properties of reduced-fat pork batters](https://scholariq.org/papers/combined-effects-of-high-pressure-processing-and-pre-emulsified-sesame-oil/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Meat and Animal Product Quality](https://scholariq.org/topics/meat-and-animal-product-quality/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

## Researcher university

- [Agricultural Information Institute](https://scholariq.org/institutions/agricultural-information-institute/)

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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.