# Changshe Zhang

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

## Facts

| Field | Value |
| --- | --- |
| Citations | 64 |
| Field | Advanced Neural Network Applications |
| h-index | 3 |
| i10-index | 1 |
| Last Known Institution | Jimei University |
| OpenAlex ID | https://openalex.org/A5088514748 |
| ORCID iD | 0009-0002-9659-4888 |
| Works | 5 |

## Researcher papers

- [One-Stage Disease Detection Method for Maize Leaf Based on Multi-Scale Feature Fusion](https://scholariq.org/papers/one-stage-disease-detection-method-for-maize-leaf-based-on-multi-scale-feature/)
- [HSPFormer: Hierarchical Spatial Perception Transformer for Semantic Segmentation](https://scholariq.org/papers/hspformer-hierarchical-spatial-perception-transformer-for-semantic-segmentation/)
- [End-to-End 3D Human Pose Estimation Network With Multi-Layer Feature Fusion](https://scholariq.org/papers/end-to-end-3d-human-pose-estimation-network-with-multi-layer-feature-fusion/)
- [RSDNet: Res-CBAM-enhanced integration of shallow and deep networks for ultra-high-resolution image segmentation](https://scholariq.org/papers/rsdnet-res-cbam-enhanced-integration-of-shallow-and-deep-networks-for-ultra-high/)
- [Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation](https://scholariq.org/papers/stronger-steadier-and-amp-superior-geometric-consistency-in-depth-vfm-forges/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

## Researcher university

- [Jimei University](https://scholariq.org/institutions/jimei-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.