Shizuo Kaji
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- Satoshi KidaTakahiro NakamotoToshikazu ImaeKeiichi NakagawaKanabu NawaTakeshi OhtaDaisuke KishimotoTsuyoshi Oguma
- Topics
- Medical Imaging Techniques and Applications (6 papers)Advanced Combinatorial Mathematics (6 papers)Homotopy and Cohomology in Algebraic Topology (6 papers)
- Partner nations
- JapanSouth KoreaBulgaria
In The Last Decade
Shizuo Kaji
34 papers receiving 372 citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 157
- Computer Vision and Pattern Recognition 99
- Biomedical Engineering 77
- Pulmonary and Respiratory Medicine 74
- Artificial Intelligence 71
Countries citing papers authored by Shizuo Kaji
This map shows the geographic impact of Shizuo Kaji'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 Shizuo Kaji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shizuo Kaji more than expected).
Fields of papers citing papers by Shizuo Kaji
This network shows the impact of papers produced by Shizuo Kaji. 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 Shizuo Kaji. The network helps show where Shizuo Kaji may publish in the future.
Co-authorship network of co-authors of Shizuo Kaji
This figure shows the co-authorship network connecting the top 25 collaborators of Shizuo Kaji. A scholar is included among the top collaborators of Shizuo Kaji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shizuo Kaji. Shizuo Kaji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | Provider knowledge, comfort with, and training on genetics screening and diagnostic testing assessing educational needs | 2 |
| 13 | 34 | |
| 14 | 0 | |
| 15 | 103 | |
| 16 | 3 | |
| 17 | 80 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 0 |
About Shizuo Kaji
Shizuo Kaji is a scholar working on Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design and Mathematical Physics, having authored 40 papers that have together received 377 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Advanced Combinatorial Mathematics (6 papers) and Homotopy and Cohomology in Algebraic Topology (6 papers). The work is most often cited by research in Radiation (67 citations), Radiology, Nuclear Medicine and Imaging (157 citations) and Computer Vision and Pattern Recognition (99 citations). Shizuo Kaji has collaborated with scholars based in Japan, South Korea and Bulgaria. Frequent co-authors include Satoshi Kida, Takahiro Nakamoto, Toshikazu Imae, Keiichi Nakagawa, Kanabu Nawa, Takeshi Ohta, Daisuke Kishimoto, Tsuyoshi Oguma, Toyohiro Hirai and Naoya Tanabe. Their work appears in journals such as Scientific Reports, Journal of Applied Physiology and IEEE Access.
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.