# Zhanhong Ma

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/zhanhong-ma/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,675 |
| Field | Wheat and Barley Genetics and Pathology |
| h-index | 27 |
| i10-index | 70 |
| Last Known Institution | China Agricultural University |
| OpenAlex ID | https://openalex.org/A5082654276 |
| ORCID iD | 0000-0002-4910-5001 |
| Works | 160 |

## Researcher papers

- [Identification of Alfalfa Leaf Diseases Using Image Recognition Technology](https://scholariq.org/papers/identification-of-alfalfa-leaf-diseases-using-image-recognition-technology/)
- [Effect of Diseases on Soybean Yield in the Top Eight Producing Countries in 2006](https://scholariq.org/papers/effect-of-diseases-on-soybean-yield-in-the-top-eight-producing-countries-in-2006/)
- [Image recognition of plant diseases based on backpropagation networks](https://scholariq.org/papers/image-recognition-of-plant-diseases-based-on-backpropagation-networks/)
- [Temporal dynamics and population genetic structure of Fusarium graminearum in the upper Midwestern United States](https://scholariq.org/papers/temporal-dynamics-and-population-genetic-structure-of-fusarium-graminearum-in/)
- [Application of neural networks to image recognition of plant diseases](https://scholariq.org/papers/application-of-neural-networks-to-image-recognition-of-plant-diseases/)
- [Image recognition of plant diseases based on principal component analysis and neural networks](https://scholariq.org/papers/image-recognition-of-plant-diseases-based-on-principal-component-analysis-and/)
- [Effects of Climate Change on Epidemics of Powdery Mildew in Winter Wheat in China](https://scholariq.org/papers/effects-of-climate-change-on-epidemics-of-powdery-mildew-in-winter-wheat-in/)
- [Southern corn rust caused by Puccinia polysora Underw: a review](https://scholariq.org/papers/southern-corn-rust-caused-by-puccinia-polysora-underw-a-review/)
- [Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs](https://scholariq.org/papers/applying-convolutional-neural-networks-for-detecting-wheat-stripe-rust/)
- [Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index](https://scholariq.org/papers/pixel-level-regression-for-uav-hyperspectral-images-deep-learning-based/)

## Researcher topics

- [Wheat and Barley Genetics and Pathology](https://scholariq.org/topics/wheat-and-barley-genetics-and-pathology/)
- [Yeasts and Rust Fungi Studies](https://scholariq.org/topics/yeasts-and-rust-fungi-studies/)
- [Genetic Mapping and Diversity in Plants and Animals](https://scholariq.org/topics/genetic-mapping-and-diversity-in-plants-and-animals/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Plant Pathogens and Fungal Diseases](https://scholariq.org/topics/plant-pathogens-and-fungal-diseases/)

## Researcher university

- [China Agricultural University](https://scholariq.org/institutions/china-agricultural-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.