Jun Kuroda
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Advanced MEMS and NEMS Technologies 3
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- Acoustic Wave Phenomena Research 3
- Co-authors
- Masaki Ono (4 shared papers)Michiharu Kudo (4 shared papers)Atsushi Suzuki (4 shared papers)Masaki Makino (4 shared papers)Akira Koseki (4 shared papers)Toshinari Itoko (2 shared papers)Kiyotaka Hoshinaga (1 shared paper)Ryo Yoshimoto (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (2 papers)Journal of The Electrochemical Society (2 papers)Clinical and Experimental Gastroenterology (1 paper)Diabetes (1 paper)Journal of Mass Spectrometry (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Kuroda
22 papers receiving 358 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 26
- Health Information Management 56
- Toxicology 18
- Nephrology 35
- Gastroenterology 8
Countries citing papers authored by Jun Kuroda
This map shows the geographic impact of Jun Kuroda'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 Jun Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kuroda more than expected).
Fields of papers citing papers by Jun Kuroda
This network shows the impact of papers produced by Jun Kuroda. 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 Jun Kuroda. The network helps show where Jun Kuroda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kuroda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2013 | 83 | |
| 3 | Cytotoxic and DNA damage-inducing activities of low molecular weight phenols from rhubarb. | 2001 | 63 |
| 4 | 2018 | 13 | |
| 5 | 2019 | 13 | |
| 6 | 2020 | 7 | |
| 7 | 2018 | 5 | |
| 8 | 2017 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2015 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 1998 | 3 | |
| 13 | Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder. | 2018 | 2 |
| 14 | 2018 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2006 | 1 |
About Jun Kuroda
Jun Kuroda is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Civil and Structural Engineering and Health Information Management, having authored 23 papers that have together received 368 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Artificial Intelligence in Healthcare (4 papers), Engineering Applied Research (4 papers), Machine Learning in Healthcare (3 papers), Acoustic Wave Phenomena Research (3 papers), Advanced MEMS and NEMS Technologies (3 papers), Piezoelectric Actuators and Control (2 papers) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (56 citations), Toxicology (18 citations), Nephrology (35 citations) and Gastroenterology (8 citations). Jun Kuroda has collaborated with scholars based in Japan and United States. Frequent co-authors include Masaki Ono, Michiharu Kudo, Atsushi Suzuki, Masaki Makino, Akira Koseki, Toshinari Itoko, Kiyotaka Hoshinaga, Ryo Yoshimoto, Eiichi Saitoh and Yukio Yuzawa. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of The Electrochemical Society, Clinical and Experimental Gastroenterology, Diabetes and Journal of Mass Spectrometry.
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.