Tsubasa Hirakawa

52 papers and 1.0k indexed citations i.

About

Tsubasa Hirakawa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Reproductive Medicine. According to data from OpenAlex, Tsubasa Hirakawa has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Reproductive Medicine. Recurrent topics in Tsubasa Hirakawa’s work include Advanced Neural Network Applications (10 papers), Image Retrieval and Classification Techniques (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). Tsubasa Hirakawa is often cited by papers focused on Advanced Neural Network Applications (10 papers), Image Retrieval and Classification Techniques (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). Tsubasa Hirakawa collaborates with scholars based in Japan, United States and Taiwan. Tsubasa Hirakawa's co-authors include Hironobu Fujiyoshi, Takayoshi Yamashita, Hiroshi Fukui, Toru Tamaki, Bisser Raytchev, Shigeto Yoshida, Shinji Tanaka, Yoko Kominami, Kazufumi Kaneda and Yoji Sanomura and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Tsubasa Hirakawa i

Fields of papers citing papers by Tsubasa Hirakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tsubasa Hirakawa

Since Specialization
Citations

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