# Weihui Zeng

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/weihui-zeng/

## Facts

| Field | Value |
| --- | --- |
| Citations | 551 |
| Field | Smart Agriculture and AI |
| h-index | 9 |
| i10-index | 9 |
| Last Known Institution | Anhui University |
| OpenAlex ID | https://openalex.org/A5076690304 |
| ORCID iD | 0000-0002-5164-6966 |
| Works | 29 |

## Researcher papers

- [Crop leaf disease recognition based on Self-Attention convolutional neural network](https://scholariq.org/papers/crop-leaf-disease-recognition-based-on-self-attention-convolutional-neural/)
- [Lightweight dense-scale network (LDSNet) for corn leaf disease identification](https://scholariq.org/papers/lightweight-dense-scale-network-ldsnet-for-corn-leaf-disease-identification/)
- [CNN Transfer Learning for Automatic Image-Based Classification of Crop Disease](https://scholariq.org/papers/cnn-transfer-learning-for-automatic-image-based-classification-of-crop-disease/)
- [Identification of maize leaf diseases by using the SKPSNet-50 convolutional neural network model](https://scholariq.org/papers/identification-of-maize-leaf-diseases-by-using-the-skpsnet-50-convolutional/)
- [UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN](https://scholariq.org/papers/uav-remote-sensing-monitoring-of-pine-forest-diseases-based-on-improved-mask-r/)
- [Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images](https://scholariq.org/papers/detection-and-classification-of-diseased-pine-trees-with-different-levels-of/)
- [Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images](https://scholariq.org/papers/detection-of-tea-leaf-blight-in-low-resolution-uav-remote-sensing-images/)
- [High-Order Residual Convolutional Neural Network for Robust Crop Disease Recognition](https://scholariq.org/papers/high-order-residual-convolutional-neural-network-for-robust-crop-disease/)
- [Surface defect identification method for hot-rolled steel plates based on random data balancing and lightweight convolutional neural network](https://scholariq.org/papers/surface-defect-identification-method-for-hot-rolled-steel-plates-based-on-random/)
- [DCNN Transfer Learning and Multi-model Integration for Disease and Weed Identification](https://scholariq.org/papers/dcnn-transfer-learning-and-multi-model-integration-for-disease-and-weed/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)

## Researcher university

- [Anhui University](https://scholariq.org/institutions/anhui-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.