Yoichi Sato

885 total citations
35 papers, 498 citations indexed

About

Yoichi Sato is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yoichi Sato has authored 35 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Yoichi Sato's work include Blind Source Separation Techniques (8 papers), Advanced Wireless Communication Techniques (5 papers) and Hip and Femur Fractures (4 papers). Yoichi Sato is often cited by papers focused on Blind Source Separation Techniques (8 papers), Advanced Wireless Communication Techniques (5 papers) and Hip and Femur Fractures (4 papers). Yoichi Sato collaborates with scholars based in Japan, Taiwan and Austria. Yoichi Sato's co-authors include Yunxin Li, Branka Vucetic, Takahiro Okabe, Michihiro Kobayashi, Ryoma Bise, Ko Nishino, Mikiya Tanaka, Ying Huang, Mohammad Kamal Hossain and Hirokazu Narita and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Medical Imaging.

In The Last Decade

Yoichi Sato

30 papers receiving 475 citations

Peers

Yoichi Sato
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 170
  • Electrical and Electronic Engineering 164
  • Computer Networks and Communications 126
  • Biomedical Engineering 80
  • Artificial Intelligence 72
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Saifur Rahman Australia View profile →
Citations per field, relative to Yoichi Sato
Yoichi Sato · 1×
Citations per year, relative to Yoichi Sato
Yoichi Sato · 1×

Countries citing papers authored by Yoichi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichi Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Sato. A scholar is included among the top collaborators of Yoichi Sato 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 Yoichi Sato. Yoichi Sato 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 1
3 8
4 40
5
A Computer-Aided Diagnosis System Using Artificial Intelligence for Proximal Femoral Fractures Enables Residents to Achieve a Diagnostic Rate Equivalent to Orthopedic Surgeons - multi-institutional joint development research.
2
6 12
7 2
8 19
9 24
10 2
11 3
12
Denoising hyperspectral images using spectral domain statistics
16
13
H-036 Subtle Facial Expression Recognition Based on Expression Category-dependent Motion Magnification
1
14 90
15 0
16
Appearance sampling for obtaining a set of basis images for variable illumination
3
17 8
18 3
19
A method of blind equalization
1
20 1

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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