Yohei Kawaguchi

1.4k citations
60 papers · 730 indexed · h-index 13
Topics
Speech and Audio Processing (34 papers)Music and Audio Processing (22 papers)Blind Source Separation Techniques (15 papers)
Partner nations
JapanUnited States

In The Last Decade

Yohei Kawaguchi

55 papers receiving 720 citations

Peers

Yohei Kawaguchi
Comparison fields: 5 of 68
  • Signal Processing 463
  • Artificial Intelligence 390
  • Civil and Structural Engineering 103
  • Control and Systems Engineering 98
  • Computational Mechanics 96
Replace Xiangping Zeng with:
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Citations per field
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Xiangping Zeng · 1×
Citations per year

Countries citing papers authored by Yohei Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Kawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Kawaguchi. A scholar is included among the top collaborators of Yohei Kawaguchi 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 Yohei Kawaguchi. Yohei Kawaguchi 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
#WorkIndexed citations
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15
Mass spectra separation for explosives detection by using PLCA with an attenuation model
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16 1
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Soft masking based adaptation for time-frequency beamformers under reverberant and background noise environments
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18
A two-stage multichannel acoustic noise reduction under reverberant environments
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19
Subband beamformer combined with time-frequency ICA for extraction of target source under reverberant environments
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A case of intracranial mesenchymal chondrosarcoma. Changes observed by computed tomography before and after radiotherapy
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About Yohei Kawaguchi

Yohei Kawaguchi is a scholar working on Signal Processing, Computational Mechanics and Health Informatics, having authored 60 papers that have together received 730 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Music and Audio Processing (22 papers) and Blind Source Separation Techniques (15 papers). The work is most often cited by research in Signal Processing (463 citations), Artificial Intelligence (390 citations) and Civil and Structural Engineering (103 citations). Yohei Kawaguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Takashi Endo, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Masahito Togami, Yuki Nikaido, Shota Horiguchi, Rintaro Ikeshita, Shinji Watanabe and Ryu Takeda. Their work appears in journals such as IEEE Sensors Journal, Lung Cancer and IEEE Transactions on Audio Speech and Language Processing.

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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