# Yulan Guo

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yulan-guo/

## Facts

| Field | Value |
| --- | --- |
| Citations | 16,397 |
| Field | Advanced Vision and Imaging |
| h-index | 57 |
| i10-index | 141 |
| OpenAlex ID | https://openalex.org/A5032533885 |
| ORCID iD | https://orcid.org/0000-0001-7051-841X |
| Works | 297 |

## Researcher papers

- [3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey](https://scholariq.org/papers/3d-object-recognition-in-cluttered-scenes-with-local-surface-features-a-survey/)
- [A Comprehensive Performance Evaluation of 3D Local Feature Descriptors](https://scholariq.org/papers/a-comprehensive-performance-evaluation-of-3d-local-feature-descriptors/)
- [Unsupervised Degradation Representation Learning for Blind Super-Resolution](https://scholariq.org/papers/unsupervised-degradation-representation-learning-for-blind-super-resolution/)
- [Learning Parallax Attention for Stereo Image Super-Resolution](https://scholariq.org/papers/learning-parallax-attention-for-stereo-image-super-resolution/)
- [Exploring Sparsity in Image Super-Resolution for Efficient Inference](https://scholariq.org/papers/exploring-sparsity-in-image-super-resolution-for-efficient-inference/)
- [Spatial-Angular Interaction for Light Field Image Super-Resolution](https://scholariq.org/papers/spatial-angular-interaction-for-light-field-image-super-resolution/)

## Researcher topics

- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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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.