# Yipeng Liu

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yipeng-liu/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,249 |
| Field | Sparse and Compressive Sensing Techniques |
| h-index | 33 |
| i10-index | 84 |
| Last Known Institution | University of Electronic Science and Technology of China |
| OpenAlex ID | https://openalex.org/A5100610065 |
| ORCID iD | 0000-0003-2084-8781 |
| Works | 349 |

## Researcher papers

- [Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network](https://scholariq.org/papers/automated-detection-of-parkinson-s-disease-based-on-multiple-types-of-sustained/)
- [A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring](https://scholariq.org/papers/a-simple-local-minimal-intensity-prior-and-an-improved-algorithm-for-blind-image/)
- [DaST: Data-Free Substitute Training for Adversarial Attacks](https://scholariq.org/papers/dast-data-free-substitute-training-for-adversarial-attacks/)
- [Region level based multi-focus image fusion using quaternion wavelet and normalized cut](https://scholariq.org/papers/region-level-based-multi-focus-image-fusion-using-quaternion-wavelet-and/)
- [Low rank tensor completion for multiway visual data](https://scholariq.org/papers/low-rank-tensor-completion-for-multiway-visual-data/)
- [Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection](https://scholariq.org/papers/early-diagnosis-of-parkinson-s-disease-from-multiple-voice-recordings-by/)
- [Improved Robust Tensor Principal Component Analysis via Low-Rank Core Matrix](https://scholariq.org/papers/improved-robust-tensor-principal-component-analysis-via-low-rank-core-matrix/)
- [Robust Sparse Recovery in Impulsive Noise via $\ell _p$ -$\ell _1$ Optimization](https://scholariq.org/papers/robust-sparse-recovery-in-impulsive-noise-via-ell-p-ell-1-optimization/)
- [Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model](https://scholariq.org/papers/reliable-parkinson-s-disease-detection-by-analyzing-handwritten-drawings/)
- [No-Reference Point Cloud Quality Assessment via Domain Adaptation](https://scholariq.org/papers/no-reference-point-cloud-quality-assessment-via-domain-adaptation/)
- [Increasing prevalence of membranous nephropathy in patients with primary glomerular diseases: A cross‐sectional study in China](https://scholariq.org/papers/increasing-prevalence-of-membranous-nephropathy-in-patients-with-primary/)

## Researcher topics

- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)
- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)

## Researcher university

- [University of Electronic Science and Technology of China](https://scholariq.org/institutions/university-of-electronic-science-and-technology-of-china/)

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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.