Shiro Usui

1.9k citations
136 papers · 1.5k · h-index 19

Impact in

Papers in

Shiro Usui

123 papers receiving 1.4k citations

Peers

Shiro Usui
Comparison fields: 5 of 140
  • Cognitive Neuroscience 446
  • Cellular and Molecular Neuroscience 304
  • Biophysics 58
  • Signal Processing 97
  • Neurology 60
Replace Laurent Perrinet with:
Laurent Perrinet France
Dae-Shik Kim South Korea
Leonard J. Trejo United States
Jian K. Liu China
Mina Teicher Israel
P. Hillman Israel
Francisco J. Pelayo Spain
W. von Seelen Germany
Panos Z. Marmarelis United States
Ertuğrul Başar Türkiye
Shiro Usui relative to Laurent Perrinet France Laurent Perrinet's profile →
Citations per field
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Laurent Perrinet · 1×
Citations per year

Countries citing papers authored by Shiro Usui

Since Specialization
Citations

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

Fields of papers citing papers by Shiro Usui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982181
2 1997140
3 2009134
4 200183
5 200271
6 200350
7 198246
8 199536
9 199933
10 200031
11 199230
12 199429
13 201023
14 199623
15 200322
16 201320
17 201019
18 198319
19 200119
20
Rule Extraction from Trained Artificial Neural Networks.
199717

About Shiro Usui

Shiro Usui is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 136 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Photoreceptor and optogenetics research (19 papers), Neural dynamics and brain function (19 papers), Color Science and Applications (17 papers), Visual perception and processing mechanisms (17 papers), Retinal Development and Disorders (15 papers), Neuroscience and Neural Engineering (11 papers) and Color perception and design (9 papers). The work is most often cited by research in Cognitive Neuroscience (446 citations), Cellular and Molecular Neuroscience (304 citations), Biophysics (58 citations), Signal Processing (97 citations) and Neurology (60 citations). Shiro Usui has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Aleksander Malinowski, Jacek M. Żurada, Shigeki Nakauchi, Yutaka Hirata, LAWRENCE W. STARK, Naohiro Toda, Peter Géczy, Keisuke Yonehara, Hiraki Sakuta and Masaharu Noda. Their work appears in journals such as Neural Networks, Neurocomputing, Vision Research, Frontiers in Neuroinformatics and BMC Neuroscience.

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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