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Yipeng Liu

ResearcherPublications, citations & collaboration network

Yipeng Liu is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 349 works, 4,249 citations, an h-index of 33 and an i10-index of 84.

349
Works
4,249
Citations
33
h-index
84
i10-index

How has Yipeng Liu's publication output changed over time?

ScholarIQpublication output · 2013–2022

Output grew0% over the shown period — from 1 works in 2013 to 1 in 2022.

1
2
2
3
2
1
201320162018201920202022

What are the most-cited papers on Yipeng Liu?

ScholarIQmost cited works
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network
Liaqat Ali, Ce Zhu, Zhonghao Zhang, Yipeng Liu
IEEE Journal of Translational Engineering in Health and Medicine. 2019204 CitationsOPEN ACCESS
A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring
Fei Wen, Rendong Ying, Yipeng Liu, Peilin Liu, Trieu‐Kien Truong
S115173108. 2020178 CitationsOPEN ACCESS
DaST: Data-Free Substitute Training for Adversarial Attacks
Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu
2020165 Citations
Region level based multi-focus image fusion using quaternion wavelet and normalized cut
Yipeng Liu, Jing Jin, Qiang Wang, Yi Shen, Xiaoqiu Dong
S154637859. 2013163 Citations
Low rank tensor completion for multiway visual data
Zhen Long, Yipeng Liu, Longxi Chen, Ce Zhu
S154637859. 2018153 Citations

Related on ScholarIQ

University of Electronic Science and Technology of China
Institution
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network
Paper
A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring
Paper
DaST: Data-Free Substitute Training for Adversarial Attacks
Paper
Region level based multi-focus image fusion using quaternion wavelet and normalized cut
Paper
Low rank tensor completion for multiway visual data
Paper
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