Shohei Hido

8 papers and 487 indexed citations i.

About

Shohei Hido is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Shohei Hido has authored 8 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Signal Processing. Recurrent topics in Shohei Hido’s work include Anomaly Detection Techniques and Applications (3 papers), Fault Detection and Control Systems (3 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Shohei Hido is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Fault Detection and Control Systems (3 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Shohei Hido collaborates with scholars based in Japan, United States and Germany. Shohei Hido's co-authors include Masashi Sugiyama, Takafumi Kanamori, Hisashi Kashima, Yutaka Takahashi, Yuta Tsuboi, Steffen Bickel, Tetsuro Morimura, Toshiya Watanabe, Akira Tajima and Shōko Suzuki and has published in prestigious journals such as Journal of Machine Learning Research, Knowledge and Information Systems and Statistical Analysis and Data Mining The ASA Data Science Journal.

In The Last Decade

Co-authorship network of co-authors of Shohei Hido i

Fields of papers citing papers by Shohei Hido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shohei Hido

Since Specialization
Citations

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