# Shao Xiang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/shao-xiang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,514 |
| Field | Remote-Sensing Image Classification |
| h-index | 17 |
| i10-index | 29 |
| Last Known Institution | Shanghai Jiao Tong University |
| OpenAlex ID | https://openalex.org/A5069346878 |
| ORCID iD | 0000-0002-2797-1937 |
| Works | 67 |

## Researcher papers

- [PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network](https://scholariq.org/papers/pd2se-net-computer-assisted-plant-disease-diagnosis-and-severity-estimation/)
- [Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging](https://scholariq.org/papers/efficient-skin-lesion-segmentation-using-separable-unet-with-stochastic-weight/)
- [Trends in Hospitalization and In-Hospital Mortality From VTE, 2007 to 2016, in China](https://scholariq.org/papers/trends-in-hospitalization-and-in-hospital-mortality-from-vte-2007-to-2016-in/)
- [GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification](https://scholariq.org/papers/gp-cnn-dtel-global-part-cnn-model-with-data-transformed-ensemble-learning-for/)
- [FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification](https://scholariq.org/papers/fusionm4net-a-multi-stage-multi-modal-learning-algorithm-for-multi-label-skin/)
- [Dual-Task Semantic Change Detection for Remote Sensing Images Using the Generative Change Field Module](https://scholariq.org/papers/dual-task-semantic-change-detection-for-remote-sensing-images-using-the/)
- [B2CNet: A Progressive Change Boundary-to-Center Refinement Network for Multitemporal Remote Sensing Images Change Detection](https://scholariq.org/papers/b2cnet-a-progressive-change-boundary-to-center-refinement-network-for/)
- [L-CSMS: novel lightweight network for plant disease severity recognition](https://scholariq.org/papers/l-csms-novel-lightweight-network-for-plant-disease-severity-recognition/)
- [Remote Sensing Image Compression Based on High-Frequency and Low-Frequency Components](https://scholariq.org/papers/remote-sensing-image-compression-based-on-high-frequency-and-low-frequency/)
- [Semantic Segmentation for Remote Sensing Images Based on Adaptive Feature Selection Network](https://scholariq.org/papers/semantic-segmentation-for-remote-sensing-images-based-on-adaptive-feature/)

## Researcher topics

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Venous Thromboembolism Diagnosis and Management](https://scholariq.org/topics/venous-thromboembolism-diagnosis-and-management/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Advanced Image Fusion Techniques](https://scholariq.org/topics/advanced-image-fusion-techniques/)
- [Advanced Data Compression Techniques](https://scholariq.org/topics/advanced-data-compression-techniques/)

## Researcher university

- [Shanghai Jiao Tong University](https://scholariq.org/institutions/shanghai-jiao-tong-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.