# Lingxian Zhang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/lingxian-zhang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,170 |
| Field | Smart Agriculture and AI |
| h-index | 28 |
| i10-index | 40 |
| Last Known Institution | Ministry of Agriculture and Rural Affairs |
| OpenAlex ID | https://openalex.org/A5103002252 |
| ORCID iD | 0000-0002-8665-7075 |
| Works | 105 |

## Researcher papers

- [A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network](https://scholariq.org/papers/a-recognition-method-for-cucumber-diseases-using-leaf-symptom-images-based-on/)
- [CDK inhibitors in cancer therapy, an overview of recent development.](https://scholariq.org/papers/cdk-inhibitors-in-cancer-therapy-an-overview-of-recent-development/)
- [Consumers' perceptions, purchase intention, and willingness to pay a premium price for safe vegetables: A case study of Beijing, China](https://scholariq.org/papers/consumers-perceptions-purchase-intention-and-willingness-to-pay-a-premium-price/)
- [Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China](https://scholariq.org/papers/farmers-adoption-of-water-saving-irrigation-technology-alleviates-water-scarcity/)
- [A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing](https://scholariq.org/papers/a-segmentation-method-for-greenhouse-vegetable-foliar-disease-spots-images-using/)
- [Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China](https://scholariq.org/papers/key-factors-affecting-the-adoption-willingness-behavior-and-willingness-behavior/)
- [A fuzzy clustering segmentation method based on neighborhood grayscale information for defining cucumber leaf spot disease images](https://scholariq.org/papers/a-fuzzy-clustering-segmentation-method-based-on-neighborhood-grayscale/)
- [Growth monitoring of greenhouse lettuce based on a convolutional neural network](https://scholariq.org/papers/growth-monitoring-of-greenhouse-lettuce-based-on-a-convolutional-neural-network/)
- [Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network](https://scholariq.org/papers/estimating-above-ground-biomass-of-winter-wheat-at-early-growth-stages-using/)
- [Identification method of vegetable diseases based on transfer learning and attention mechanism](https://scholariq.org/papers/identification-method-of-vegetable-diseases-based-on-transfer-learning-and/)
- [Tomato disease and pest diagnosis method based on the Stacking of prescription data](https://scholariq.org/papers/tomato-disease-and-pest-diagnosis-method-based-on-the-stacking-of-prescription/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Wireless Sensor Networks and IoT](https://scholariq.org/topics/wireless-sensor-networks-and-iot/)

## Researcher university

- [Ministry of Agriculture and Rural Affairs](https://scholariq.org/institutions/ministry-of-agriculture-and-rural-affairs/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.