Yasunari Obuchi

31 papers receiving 245 citations

Peers

Yasunari Obuchi
Comparison fields: 5 of 38
  • Signal Processing 218
  • Artificial Intelligence 175
  • Experimental and Cognitive Psychology 68
  • Computer Vision and Pattern Recognition 46
  • Computational Mechanics 33
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Countries citing papers authored by Yasunari Obuchi

Since Specialization
Citations

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

Fields of papers citing papers by Yasunari Obuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasunari Obuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Yasunari Obuchi. A scholar is included among the top collaborators of Yasunari Obuchi 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 Yasunari Obuchi. Yasunari Obuchi 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
1 0
2 1
3 1
4 1
5 2
6
Voice-controllable multimodal performance system
0
7 1
8
Speech Processing for Car Navigation Systems(Invited Talk)
1
9
Speech Processing for Car Navigation Systems
1
10 81
11
Voice activity detection based on augmented statistical noise suppression
3
12
Speech Recognition under Noisy Environment using Bidirectional OM-LSA Noise Suppression
1
13
Subband beamformer combined with time-frequency ICA for extraction of target source under reverberant environments
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14 10
15 1
16 2
17 83
18 2
19
Multiple-microphone robust speech recognition using decoder-based channel selection.
11
20
Normalization of Time-Derivative Parameters for Robust Speech Recognition in Small Devices
3

About Yasunari Obuchi

Yasunari Obuchi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 286 indexed citations. Recurring topics across this work include Speech and Audio Processing (25 papers), Speech Recognition and Synthesis (19 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (218 citations), Artificial Intelligence (175 citations) and Experimental and Cognitive Psychology (68 citations). Yasunari Obuchi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Nobuo Sato, Ryu Takeda, Naoyuki Kanda, Masahito Togami, Richard M. Stern, Yohei Kawaguchi, Takayuki Hashimoto, Abdullah M. Iliyasu, Rintaro Ikeshita and M. Araki. Their work appears in journals such as Neural Networks, IEICE Transactions on Information and Systems and Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi.

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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