# Yang Li

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yang-li/

## Facts

| Field | Value |
| --- | --- |
| Citations | 5,650 |
| Field | Smart Agriculture and AI |
| h-index | 41 |
| i10-index | 111 |
| Last Known Institution | Shihezi University |
| OpenAlex ID | https://openalex.org/A5018588825 |
| ORCID iD | 0000-0002-4268-4004 |
| Works | 311 |

## Researcher papers

- [Structural Origin of the Strain‐Hardening of Spider Silk](https://scholariq.org/papers/structural-origin-of-the-strain-hardening-of-spider-silk/)
- [In vitro anti-Helicobacter pylori action of 30 Chinese herbal medicines used to treat ulcer diseases](https://scholariq.org/papers/in-vitro-anti-helicobacter-pylori-action-of-30-chinese-herbal-medicines-used-to/)
- [Do we really need deep CNN for plant diseases identification?](https://scholariq.org/papers/do-we-really-need-deep-cnn-for-plant-diseases-identification/)
- [Rethinking Dice Loss for Medical Image Segmentation](https://scholariq.org/papers/rethinking-dice-loss-for-medical-image-segmentation/)
- [Few-shot cotton pest recognition and terminal realization](https://scholariq.org/papers/few-shot-cotton-pest-recognition-and-terminal-realization/)
- [Semi-supervised few-shot learning approach for plant diseases recognition](https://scholariq.org/papers/semi-supervised-few-shot-learning-approach-for-plant-diseases-recognition/)
- [Meta-learning baselines and database for few-shot classification in agriculture](https://scholariq.org/papers/meta-learning-baselines-and-database-for-few-shot-classification-in-agriculture/)
- [Intrinsically Colored and Luminescent Silk](https://scholariq.org/papers/intrinsically-colored-and-luminescent-silk/)
- [A survey of few-shot learning in smart agriculture: developments, applications, and challenges](https://scholariq.org/papers/a-survey-of-few-shot-learning-in-smart-agriculture-developments-applications-and/)
- [Comprehensive Ocean Information-Enabled AUV Path Planning Via Reinforcement Learning](https://scholariq.org/papers/comprehensive-ocean-information-enabled-auv-path-planning-via-reinforcement/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Underwater Vehicles and Communication Systems](https://scholariq.org/topics/underwater-vehicles-and-communication-systems/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Wireless Power Transfer Systems](https://scholariq.org/topics/wireless-power-transfer-systems/)

## Researcher university

- [Shihezi University](https://scholariq.org/institutions/shihezi-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.