Yoko Uwate

79 papers and 323 indexed citations i.

About

Yoko Uwate is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Yoko Uwate has authored 79 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 36 papers in Computer Networks and Communications and 28 papers in Statistical and Nonlinear Physics. Recurrent topics in Yoko Uwate’s work include Neural Networks and Applications (35 papers), Nonlinear Dynamics and Pattern Formation (26 papers) and Neural Networks Stability and Synchronization (24 papers). Yoko Uwate is often cited by papers focused on Neural Networks and Applications (35 papers), Nonlinear Dynamics and Pattern Formation (26 papers) and Neural Networks Stability and Synchronization (24 papers). Yoko Uwate collaborates with scholars based in Japan, Switzerland and China. Yoko Uwate's co-authors include Yoshifumi Nishio, Ruedi Stoop, Philipp Benner, R. Stoop, A. Kern, Shahid Mumtaz, Chung Kit Wu, Chi‐Tsun Cheng, Guanrong Chen and Kim Fung Tsang and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Sensors.

In The Last Decade

Co-authorship network of co-authors of Yoko Uwate i

Fields of papers citing papers by Yoko Uwate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yoko Uwate

Since Specialization
Citations

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