Sayaka Shiota

50 papers and 348 indexed citations i.

About

Sayaka Shiota is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sayaka Shiota has authored 50 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Sayaka Shiota’s work include Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (12 papers) and Image Enhancement Techniques (11 papers). Sayaka Shiota is often cited by papers focused on Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (12 papers) and Image Enhancement Techniques (11 papers). Sayaka Shiota collaborates with scholars based in Japan and United States. Sayaka Shiota's co-authors include Hitoshi Kiya, Shoko Imaizumi, Yuma Kinoshita, Kenta Kurihara, Masanori Kikuchi, Nobutaka Ono, Taichi Yoshida, Tomoko Matsui, Junichi Yamagishi and Fernando Villavicencio and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Sayaka Shiota i

Fields of papers citing papers by Sayaka Shiota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sayaka Shiota

Since Specialization
Citations

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