Aiga Suzuki

4 papers and 1.7k indexed citations i.

About

Aiga Suzuki is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Civil and Structural Engineering. According to data from OpenAlex, Aiga Suzuki has authored 4 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Civil and Structural Engineering. Recurrent topics in Aiga Suzuki’s work include Structural Health Monitoring Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Aiga Suzuki is often cited by papers focused on Structural Health Monitoring Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Aiga Suzuki collaborates with scholars based in Japan and United States. Aiga Suzuki's co-authors include Moshe Yuchtman, B.D. Van Veen, Wim van Drongelen, Hidenori Sakanashi, Jiaxing Ye, Hirokazu Nosato, Shigehiro Sakamoto, Ryohei Nakamura and Takashi Yanagimoto and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and AIJ Journal of Technology and Design.

In The Last Decade

Co-authorship network of co-authors of Aiga Suzuki i

Fields of papers citing papers by Aiga Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aiga Suzuki

Since Specialization
Citations

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