Kenji Suzuki: h-index, Total Citations, and Citation Map
Kenji Suzuki's h-index is 65 (210 i10-index, 18,441+ total citations across 99+ publications) according to Google Scholar as of June 2026. Kenji Suzuki is affiliated with Professor of Biomedical AI, Institute of Integrated Research, Institute of Science Tokyo.
Kenji Suzuki is a researcher affiliated with Professor of Biomedical AI, Institute of Integrated Research, Institute of Science Tokyo, specializing in Deep learning, Computer-aided diagnosis, Artificial intelligence. Their work has been cited 18,441 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Kenji Suzuki's Citation Metrics
Bibliometric impact based on 99 indexed publications.
- H-Index
- 65
- i10-Index
- 210
- Total Citations
- 18,441
- Citing Countries
- 7
As of June 2026.
Kenji Suzuki has an h-index of 65 and 18,441 total citations across 99 publications, with research cited by institutions in 7 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Kenji Suzuki's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 18,441 citations for Kenji Suzuki
We've shown the most-cited 5,000. Unlock the full crawl (17,906 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Overview of deep learning in medical imaging
20171,411
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Kenji Suzuki's research
Kenji Suzuki is a researcher in Deep learning, Computer-aided diagnosis and Artificial intelligence at Professor of Biomedical AI, Institute of Integrated Research, Institute of Science Tokyo. Their work has been cited 18,441 times across 99 publications (h-index 65), according to Google Scholar.
Their most-cited work, “Overview of deep learning in medical imaging” (2017), has accumulated 1,411 citations. Other influential works include “Linear-time connected-component labeling based on sequential local operations” (2003) with 641 citations and “Fast connected-component labeling” (2009) with 514 citations.
Citations of Kenji Suzuki's research come primarily from China, United States and Norway, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











