Runyi Yu

401 citations
31 papers · 258 · h-index 10

Impact in

Papers in

Runyi Yu

29 papers receiving 249 citations

Peers

Runyi Yu
Comparison fields: 5 of 49
  • Signal Processing 124
  • Computer Vision and Pattern Recognition 187
  • Computational Mathematics 3
  • Media Technology 43
  • Applied Mathematics 42
Replace T.Q. Nguyen with:
T.Q. Nguyen United States
A.K. Soman United States
Xie Sheng-li China
Huang Bai China
Sylvain Lesage France
Chengyi Xiong China
Chih-Fan Chen United States
D.J. Shpak Canada
Laurent Benaroya France
Runyi Yu relative to T.Q. Nguyen United States T.Q. Nguyen's profile →
Citations per field
00.5×
T.Q. Nguyen · 1×
Citations per year

Countries citing papers authored by Runyi Yu

Since Specialization
Citations

This map shows the geographic impact of Runyi Yu'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 Runyi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyi Yu more than expected).

Fields of papers citing papers by Runyi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runyi Yu. 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 Runyi Yu. The network helps show where Runyi Yu may publish in the future.

Co-authors

The 18 scholars most cited alongside Runyi Yu, 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 Runyi Yu Line = papers co-authored together Runyi Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200546
2 200332
3 200621
4 200917
5 200815
6 200712
7 200811
8 201811
9 200810
10 201710
11 20049
12 20127
13 20077
14 20186
15 20125
16 20205
17 20234
18 20254
19 20154
20 20144

About Runyi Yu

Runyi Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Applied Mathematics, Computational Mechanics and Control and Systems Engineering, having authored 31 papers that have together received 258 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Digital Filter Design and Implementation (10 papers), Mathematical Analysis and Transform Methods (9 papers), Advanced Image Processing Techniques (6 papers), Direction-of-Arrival Estimation Techniques (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced Image Fusion Techniques (4 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Signal Processing (124 citations), Computer Vision and Pattern Recognition (187 citations), Computational Mathematics (3 citations), Media Technology (43 citations) and Applied Mathematics (42 citations). Runyi Yu has collaborated with scholars based in Cyprus, Türkiye and China. Frequent co-authors include Hüseyin Özkaramanlı, Aryaz Baradarani, Hasan Demirel, Xun Wang, Junliang Guo, Chang Liu, Jie Chen, Tianyu He, Ruili Wang and Zhennan Wang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Access, Digital Signal Processing and IET Intelligent Transport Systems.

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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