Akie Sakiyama

14 papers and 282 indexed citations i.

About

Akie Sakiyama is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Akie Sakiyama has authored 14 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 5 papers in Molecular Biology. Recurrent topics in Akie Sakiyama’s work include Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (6 papers) and Machine Learning in Bioinformatics (2 papers). Akie Sakiyama is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (6 papers) and Machine Learning in Bioinformatics (2 papers). Akie Sakiyama collaborates with scholars based in Japan and Australia. Akie Sakiyama's co-authors include Yuichi Tanaka, Antonio Ortega, Toshihisa Tanaka, D.B.H. Tay, Masatatsu Yamamoto, Kentaro Minami, Kohichi Kawahara, Kazunari Arima, Tatsuhiko Furukawa and Yoshinari Shinsato and has published in prestigious journals such as IEEE Transactions on Signal Processing, Signal Processing and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Akie Sakiyama i

Fields of papers citing papers by Akie Sakiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akie Sakiyama

Since Specialization
Citations

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