# Ge Wang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ge-wang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 43,245 |
| Field | Medical Imaging Techniques and Applications |
| h-index | 86 |
| i10-index | 603 |
| Last Known Institution | Xidian University |
| OpenAlex ID | https://openalex.org/A5100400458 |
| ORCID iD | https://orcid.org/0000-0002-2656-7705 |
| Works | 1,604 |

## Researcher papers

- [Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network](https://scholariq.org/papers/low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network/)
- [aLow-dose CT via convolutional neural network](https://scholariq.org/papers/alow-dose-ct-via-convolutional-neural-network/)
- [LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT](https://scholariq.org/papers/learn-learned-experts-assessment-based-reconstruction-network-for-sparse-data-ct/)
- [Low-dose CT denoising with convolutional neural network](https://scholariq.org/papers/low-dose-ct-denoising-with-convolutional-neural-network/)

## Researcher topics

- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Radiation Dose and Imaging](https://scholariq.org/topics/radiation-dose-and-imaging/)
- [Advanced MRI Techniques and Applications](https://scholariq.org/topics/advanced-mri-techniques-and-applications/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Researcher university

- [Xidian University](https://scholariq.org/institutions/xidian-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.