Yasuo Ariki

135 papers and 949 indexed citations i.

About

Yasuo Ariki is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yasuo Ariki has authored 135 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 82 papers in Signal Processing and 43 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yasuo Ariki’s work include Speech and Audio Processing (76 papers), Speech Recognition and Synthesis (73 papers) and Music and Audio Processing (44 papers). Yasuo Ariki is often cited by papers focused on Speech and Audio Processing (76 papers), Speech Recognition and Synthesis (73 papers) and Music and Audio Processing (44 papers). Yasuo Ariki collaborates with scholars based in Japan, United Kingdom and United States. Yasuo Ariki's co-authors include Tetsuya Takiguchi, Ryoichi Takashima, Toru Nakashika, Ryo Aihara, Jinhui Chen, Yuki Takashima, Zhaojie Luo, Jun Ogata, Kuniaki Uehara and Toshiyuki Sakai and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Yasuo Ariki i

Fields of papers citing papers by Yasuo Ariki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yasuo Ariki

Since Specialization
Citations

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

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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2025