# Yi Zhang

**Type:** Researchers  
**Canonical URL:** https://picoportal.org/library/researchers/yi-zhang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 16,827 |
| Field | Medical Imaging Techniques and Applications |
| h-index | 56 |
| i10-index | 219 |
| Last Known Institution | University of Shanghai for Science and Technology |
| OpenAlex ID | https://openalex.org/A5100388053 |
| ORCID iD | https://orcid.org/0000-0001-7201-2092 |
| Works | 677 |

## Researcher papers

- [Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network](https://picoportal.org/library/papers/low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network/)
- [aLow-dose CT via convolutional neural network](https://picoportal.org/library/papers/alow-dose-ct-via-convolutional-neural-network/)
- [LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT](https://picoportal.org/library/papers/learn-learned-experts-assessment-based-reconstruction-network-for-sparse-data-ct/)
- [Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network](https://picoportal.org/library/papers/denoising-of-3d-magnetic-resonance-images-using-a-residual-encoder-decoder/)
- [Low-dose CT denoising with convolutional neural network](https://picoportal.org/library/papers/low-dose-ct-denoising-with-convolutional-neural-network/)

## Researcher topics

- [Medical Imaging Techniques and Applications](https://picoportal.org/library/topics/medical-imaging-techniques-and-applications/)
- [Advanced X-ray and CT Imaging](https://picoportal.org/library/topics/advanced-x-ray-and-ct-imaging/)
- [Image and Signal Denoising Methods](https://picoportal.org/library/topics/image-and-signal-denoising-methods/)
- [Radiation Dose and Imaging](https://picoportal.org/library/topics/radiation-dose-and-imaging/)
- [Advanced MRI Techniques and Applications](https://picoportal.org/library/topics/advanced-mri-techniques-and-applications/)

## Researcher university

- [University of Shanghai for Science and Technology](https://picoportal.org/library/institutions/university-of-shanghai-for-science-and-technology/)

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