Yipeng Liu

447 total citations
42 papers, 304 citations indexed

About

Yipeng Liu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yipeng Liu has authored 42 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yipeng Liu's work include Biometric Identification and Security (5 papers), Optical Coherence Tomography Applications (4 papers) and Retinal Imaging and Analysis (4 papers). Yipeng Liu is often cited by papers focused on Biometric Identification and Security (5 papers), Optical Coherence Tomography Applications (4 papers) and Retinal Imaging and Analysis (4 papers). Yipeng Liu collaborates with scholars based in China, United States and Japan. Yipeng Liu's co-authors include Ronghua Liang, Zhanqing Li, Pingyang Wang, Jing Li, Zhenhua Liu, Xiujuan Chen, Peng Chen, Yang Liu, Guirong Wang and Xingchuan Jiang and has published in prestigious journals such as Small, Physics Letters B and Progress in Neurobiology.

In The Last Decade

Yipeng Liu

32 papers receiving 285 citations

Peers

Yipeng Liu
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 99
  • Biomedical Engineering 75
  • Computer Vision and Pattern Recognition 66
  • Ophthalmology 65
  • Mechanical Engineering 64
Replace Doaa Youssef with:
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Zihan Yang China
Alain R. Ndjiongue South Africa
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Doaa Youssef Egypt View profile →
Citations per field, relative to Yipeng Liu
Yipeng Liu · 1×
Citations per year, relative to Yipeng Liu
Yipeng Liu · 1×

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-authorship network of co-authors of Yipeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yipeng Liu. A scholar is included among the top collaborators of Yipeng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yipeng Liu. Yipeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 3
7 1
8 1
9 0
10 3
11 0
12 1
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14 6
15 4
16 5
17 85
18
Identification and characterization of a general odorant receptor gene PxylOR9 in the diamondback moth, Plutella xylostella (Lepidoptera: Plutellidae).
2
19 1
20 4

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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