Go Irie

31 papers and 336 indexed citations i.

About

Go Irie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Go Irie has authored 31 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Go Irie’s work include Advanced Image and Video Retrieval Techniques (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Multimodal Machine Learning Applications (6 papers). Go Irie is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Multimodal Machine Learning Applications (6 papers). Go Irie collaborates with scholars based in Japan, United States and China. Go Irie's co-authors include Yasuhiro Fujiwara, Ko Fujimura, Takeshi Kurashima, Tomoharu Iwata, Kiyoharu Aizawa, Shih‐Fu Chang, Zhenguo Li, Xiao-Ming Wu, Akira Kojima and Toshihiko Yamasaki and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Go Irie i

Fields of papers citing papers by Go Irie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Go Irie

Since Specialization
Citations

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