# Hu Chen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hu-chen/

## Facts

| Field | Value |
| --- | --- |
| Citations | 8,175 |
| Field | Medical Imaging Techniques and Applications |
| h-index | 39 |
| i10-index | 128 |
| Last Known Institution | Kunming University of Science and Technology |
| OpenAlex ID | https://openalex.org/A5100357677 |
| ORCID iD | 0000-0001-9300-6572 |
| Works | 481 |

## 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/)
- [SUPERMASSIVE BLACK HOLES WITH HIGH ACCRETION RATES IN ACTIVE GALACTIC NUCLEI. I. FIRST RESULTS FROM A NEW REVERBERATION MAPPING CAMPAIGN](https://scholariq.org/papers/supermassive-black-holes-with-high-accretion-rates-in-active-galactic-nuclei-i/)
- [Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network](https://scholariq.org/papers/denoising-of-3d-magnetic-resonance-images-using-a-residual-encoder-decoder/)
- [A Systematic Analysis of Fe<scp>ii</scp>Emission in Quasars: Evidence for Inflow to the Central Black Hole](https://scholariq.org/papers/a-systematic-analysis-of-fe-scp-ii-scp-emission-in-quasars-evidence-for-inflow/)
- [Low-dose CT denoising with convolutional neural network](https://scholariq.org/papers/low-dose-ct-denoising-with-convolutional-neural-network/)
- [MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction](https://scholariq.org/papers/magic-manifold-and-graph-integrative-convolutional-network-for-low-dose-ct/)
- [Hβ Profiles in Quasars: Evidence for an Intermediate-Line Region](https://scholariq.org/papers/h-profiles-in-quasars-evidence-for-an-intermediate-line-region/)
- [Multi-Aspect-Aware Bidirectional LSTM Networks for Synthetic Aperture Radar Target Recognition](https://scholariq.org/papers/multi-aspect-aware-bidirectional-lstm-networks-for-synthetic-aperture-radar/)
- [Dual-Task (Cognitive Plus Sucking) Training for Stroke Patients: A Randomized Controlled Study](https://scholariq.org/papers/dual-task-cognitive-plus-sucking-training-for-stroke-patients-a-randomized/)

## 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/)
- [Astrophysical Phenomena and Observations](https://scholariq.org/topics/astrophysical-phenomena-and-observations/)
- [Galaxies: Formation, Evolution, Phenomena](https://scholariq.org/topics/galaxies-formation-evolution-phenomena/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)

## Researcher university

- [Kunming University of Science and Technology](https://scholariq.org/institutions/kunming-university-of-science-and-technology/)

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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.