Tomoki Uemura

About

Tomoki Uemura is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomoki Uemura has authored 14 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomoki Uemura’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (5 papers) and AI in cancer detection (4 papers). Tomoki Uemura is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (5 papers) and AI in cancer detection (4 papers). Tomoki Uemura collaborates with scholars based in Japan, United States and China. Tomoki Uemura's co-authors include Hyoung Seop Kim, Shin-ichi Nakashima, Hiroshi Harima, Huimin Lu, Yujie Li, Seiichi Serikawa, Hiroyuki Yoshida, Janne J. Näppi, Dong Wang and Zi Huang and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Tomoki Uemura i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Tomoki Uemura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomoki Uemura

Since Specialization

Citations

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

Explore authors with similar magnitude of impact