# Jianwu Lin

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jianwu-lin/

## Facts

| Field | Value |
| --- | --- |
| Citations | 535 |
| Field | Smart Agriculture and AI |
| h-index | 12 |
| i10-index | 12 |
| Last Known Institution | Guizhou University |
| OpenAlex ID | https://openalex.org/A5100635628 |
| ORCID iD | 0009-0008-3715-611X |
| Works | 27 |

## Researcher papers

- [HPILN: a feature learning framework for cross‐modality person re‐identification](https://scholariq.org/papers/hpiln-a-feature-learning-framework-for-cross-modality-person-re-identification/)
- [GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases](https://scholariq.org/papers/grapenet-a-lightweight-convolutional-neural-network-model-for-identification-of/)
- [CAMFFNet: A novel convolutional neural network model for tobacco disease image recognition](https://scholariq.org/papers/camffnet-a-novel-convolutional-neural-network-model-for-tobacco-disease-image/)
- [DFCANet: A Novel Lightweight Convolutional Neural Network Model for Corn Disease Identification](https://scholariq.org/papers/dfcanet-a-novel-lightweight-convolutional-neural-network-model-for-corn-disease/)
- [Improved YOLOX-Tiny network for detection of tobacco brown spot disease](https://scholariq.org/papers/improved-yolox-tiny-network-for-detection-of-tobacco-brown-spot-disease/)
- [SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification](https://scholariq.org/papers/secs-an-effective-cnn-joint-construction-strategy-for-breast-cancer/)
- [Improved EfficientNet for corn disease identification](https://scholariq.org/papers/improved-efficientnet-for-corn-disease-identification/)
- [A two-stage feature aggregation network for multi-category soybean leaf disease identification](https://scholariq.org/papers/a-two-stage-feature-aggregation-network-for-multi-category-soybean-leaf-disease/)
- [Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition](https://scholariq.org/papers/local-and-global-feature-aware-dual-branch-networks-for-plant-disease/)
- [LSGNet: A lightweight convolutional neural network model for tomato disease identification](https://scholariq.org/papers/lsgnet-a-lightweight-convolutional-neural-network-model-for-tomato-disease/)
- [VCPC: virtual contrastive constraint and prototype calibration for few-shot class-incremental plant disease classification](https://scholariq.org/papers/vcpc-virtual-contrastive-constraint-and-prototype-calibration-for-few-shot-class/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)

## Researcher university

- [Guizhou University](https://scholariq.org/institutions/guizhou-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.