Yipeng Liu

4.4k citations
192 papers · 3.0k · h-index 30

Impact in

Papers in

Yipeng Liu

176 papers receiving 3.0k citations

Peers

Yipeng Liu
Comparison fields: 5 of 159
  • Computational Mathematics 476
  • Computer Vision and Pattern Recognition 969
  • Media Technology 348
  • Computational Mechanics 725
  • Signal Processing 365
Replace Jie Wen with:
Jie Wen China
Irene Yu‐Hua Gu Sweden
Nojun Kwak South Korea
Dan Schonfeld United States
Hien Van Nguyen United States
Jianjun Qian China
Pan Zhou China
Qiang Cheng United States
Seungjin Choi South Korea
Jordi M. Vitria Spain
Yipeng Liu relative to Jie Wen China Jie Wen's profile →
Citations per field
00.5×2×3.4×
Jie Wen · 1×
Citations per year

Countries citing papers authored by Yipeng Liu

Since Specialization
Citations

This map shows the geographic impact of Yipeng Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yipeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipeng Liu more than expected).

Fields of papers citing papers by Yipeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yipeng Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yipeng Liu. The network helps show where Yipeng Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Yipeng Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yipeng Liu Line = papers co-authored together Yipeng Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019151
2 2013134
3 2020125
4 2020120
5 2018118
6 2019117
7 2018110
8 2016105
9 2019100
10 202284
11 201982
12 202075
13 201672
14 201869
15 201847
16 202044
17 202043
18 202141
19 201140
20 201439

About Yipeng Liu

Yipeng Liu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 192 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (44 papers), Tensor decomposition and applications (35 papers), Blind Source Separation Techniques (16 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Advanced Image and Video Retrieval Techniques (12 papers), Image and Signal Denoising Methods (12 papers), Robotics and Sensor-Based Localization (11 papers) and Renal Diseases and Glomerulopathies (11 papers). The work is most often cited by research in Computational Mathematics (476 citations), Computer Vision and Pattern Recognition (969 citations), Media Technology (348 citations), Computational Mechanics (725 citations) and Signal Processing (365 citations). Yipeng Liu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Ce Zhu, Zhen Long, Longxi Chen, Liaqat Ali, Mingyi Zhou, Fei Wen, Peilin Liu, Zhonghao Zhang, Yi Shen and Jing Jin. Their work appears in journals such as Signal Processing, IEEE Transactions on Instrumentation and Measurement, Scientific Reports, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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