S. Usui

615 citations
45 papers · 366 · h-index 10

Impact in

Papers in

S. Usui

38 papers receiving 347 citations

Peers

S. Usui
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 90
  • Artificial Intelligence 144
  • Cognitive Neuroscience 55
  • Control and Systems Engineering 42
  • Computer Vision and Pattern Recognition 29
Replace Lori A. Dalton with:
Lori A. Dalton United States
Christopher M. Twigg United States
C. Gielen Netherlands
Chengwei Lei United States
Hélène Paugam‐Moisy France
T.G. Clarkson United Kingdom
Rinku Roy India
Faraz Akram Pakistan
Tetsuo Furukawa Japan
S. Usui relative to Lori A. Dalton United States Lori A. Dalton's profile →
Citations per field
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Lori A. Dalton · 1×
Citations per year

Countries citing papers authored by S. Usui

Since Specialization
Citations

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

Fields of papers citing papers by S. Usui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Usui, 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 S. Usui Line = papers co-authored together S. Usui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005108
2 199638
3 199634
4
Evidence of sensory conflict and recovery in carp exposed to prolonged weightlessness.
199620
5 199518
6 200613
7 200512
8 198411
9 200411
10 199010
11 20059
12
Pupillometry, a bioengineering overview
19819
13 19948
14 20028
15 19905
16 20005
17
An overview of biological signal processing: non-linear and non-stationary aspects.
19915
18 19915
19 20045
20 20024

About S. Usui

S. Usui is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Control and Systems Engineering, having authored 45 papers that have together received 366 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Neuroscience and Neural Engineering (7 papers), Color Science and Applications (7 papers), Visual perception and processing mechanisms (6 papers), Control Systems and Identification (5 papers), Metaheuristic Optimization Algorithms Research (4 papers), Image Enhancement Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (90 citations), Artificial Intelligence (144 citations), Cognitive Neuroscience (55 citations), Control and Systems Engineering (42 citations) and Computer Vision and Pattern Recognition (29 citations). S. Usui has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Paulito Palmes, Y. Kamiyama, Hiroyuki Ishii, Naohiro Toda, Motohiro Sakai, K. Ochiai, Shigeki Nakauchi, Yuzo Tomono, Satoshi Ukai and Atsushi Takabayashi. Their work appears in journals such as Biosystems, Vision Research, Neuroscience Research, IEEE Transactions on Biomedical Engineering and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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