Yao Yu

803 total citations
19 papers, 622 citations indexed

About

Yao Yu is a scholar working on Biomedical Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Yao Yu has authored 19 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Computational Mechanics and 13 papers in Aerospace Engineering. Recurrent topics in Yao Yu's work include Microwave Imaging and Scattering Analysis (14 papers), Sparse and Compressive Sensing Techniques (13 papers) and Radar Systems and Signal Processing (13 papers). Yao Yu is often cited by papers focused on Microwave Imaging and Scattering Analysis (14 papers), Sparse and Compressive Sensing Techniques (13 papers) and Radar Systems and Signal Processing (13 papers). Yao Yu collaborates with scholars based in United States, China and Hong Kong. Yao Yu's co-authors include Athina P. Petropulu, H. Vincent Poor, Hongwei Liu, Shenghua Zhou, Junzhou Huang, Shunqiao Sun, S.H. Leung, Fei Lu, Yubo Gao and Hui‐Jing Li and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Yao Yu

19 papers receiving 598 citations

Peers

Yao Yu
Comparison fields: 5 of 37
  • Aerospace Engineering 455
  • Computational Mechanics 386
  • Biomedical Engineering 331
  • Signal Processing 158
  • Electrical and Electronic Engineering 94
Replace Christian D. Austin with:
Christian D. Austin United States
Marco Rossi Germany
Yijian Xiang United States
Matteo Carlin Italy
Jörg Heckenbach Germany
Xiaoyi Pan China
Christina Knill Germany
Kfir Gedalyahu Israel
Erke Mao China
Cai Wen China
Christian D. Austin United States View profile →
Citations per field, relative to Yao Yu
Yao Yu · 1×
Citations per year, relative to Yao Yu
Yao Yu · 1×

Countries citing papers authored by Yao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Yu. A scholar is included among the top collaborators of Yao Yu 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 Yao Yu. Yao Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 45
3 3
4 2
5 8
6 60
7 5
8 19
9 123
10 248
11 35
12 1
13 2
14 4
15 1
16 9
17 44
18 7
19 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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