Suehiro Shimauchi
- Signal Processing top 2%
- Computational Mechanics top 5%
- Biomedical Engineering
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- Shoji MakinoYoichi HanedaKeisuke ImotoShoichi KoyamaAkira NakagawaKen’ichi FuruyaMasahiro FukuiKana Eguchi
- Topics
- Speech and Audio Processing (28 papers)Advanced Adaptive Filtering Techniques (27 papers)Blind Source Separation Techniques (7 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE AccessIEEE Transactions on Consumer Electronics
- Partner nations
- JapanNew ZealandUnited States
In The Last Decade
Suehiro Shimauchi
34 papers receiving 295 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 267
- Computational Mechanics 192
- Biomedical Engineering 87
- Cognitive Neuroscience 61
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Suehiro Shimauchi
This map shows the geographic impact of Suehiro Shimauchi'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 Suehiro Shimauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suehiro Shimauchi more than expected).
Fields of papers citing papers by Suehiro Shimauchi
This network shows the impact of papers produced by Suehiro Shimauchi. 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 Suehiro Shimauchi. The network helps show where Suehiro Shimauchi may publish in the future.
Co-authorship network of co-authors of Suehiro Shimauchi
This figure shows the co-authorship network connecting the top 25 collaborators of Suehiro Shimauchi. A scholar is included among the top collaborators of Suehiro Shimauchi 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 Suehiro Shimauchi. Suehiro Shimauchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Echo Reduction Using Wiener Gains Considering Short-Time Correlation Between Echo and Near-End Speech | 1 |
| 15 | Noise Power Estimation Based on Noise Ratio in Signal and Its Noise Reduction Performance | 0 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | High-performance acoustic echo canceller development | 0 |
About Suehiro Shimauchi
Suehiro Shimauchi is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience, having authored 41 papers that have together received 324 indexed citations. Recurring topics across this work include Speech and Audio Processing (28 papers), Advanced Adaptive Filtering Techniques (27 papers) and Blind Source Separation Techniques (7 papers). The work is most often cited by research in Signal Processing (267 citations), Computational Mechanics (192 citations) and Developmental Biology (7 citations). Suehiro Shimauchi has collaborated with scholars based in Japan, New Zealand and United States. Frequent co-authors include Shoji Makino, Yoichi Haneda, Keisuke Imoto, Shoichi Koyama, Akira Nakagawa, Ken’ichi Furuya, Masahiro Fukui, Kana Eguchi, Yusuke Hioka and Ryosuke Aoki. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and IEEE Transactions on Consumer Electronics.
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.