Ai Dozen
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Autopsy Techniques and Outcomes
Papers in
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- Artificial Intelligence in Healthcare and Education 3
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- Ovarian cancer diagnosis and treatment 3
- Co-authors
- Ryuji HamamotoHidenori MachinoKanto ShozuMasaaki KomatsuSyuzo KanekoKen AsadaAkira SakaiSuguru Yasutomi
- Journals
- Applied Sciences (2 papers)Biomolecules (2 papers)Biomedicines (2 papers)Clinical Epigenetics (1 paper)Cancers (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Ai Dozen
12 papers receiving 469 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 115
- Radiology, Nuclear Medicine and Imaging 203
- Critical Care and Intensive Care Medicine 33
- Artificial Intelligence 134
- Pediatrics, Perinatology and Child Health 79
Countries citing papers authored by Ai Dozen
This map shows the geographic impact of Ai Dozen'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 Ai Dozen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Dozen more than expected).
Fields of papers citing papers by Ai Dozen
This network shows the impact of papers produced by Ai Dozen. 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 Ai Dozen. The network helps show where Ai Dozen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ai Dozen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 9 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 75 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 87 | |
| 9 | 2020 | 34 | |
| 10 | 2020 | 60 | |
| 11 | 2020 | 126 | |
| 12 | 2020 | 2 |
About Ai Dozen
Ai Dozen is a scholar working on Health Informatics, Reproductive Medicine, Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 483 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Epigenetics and DNA Methylation (2 papers), Advanced Neural Network Applications (2 papers), Renal cell carcinoma treatment (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Health Informatics (115 citations), Radiology, Nuclear Medicine and Imaging (203 citations), Critical Care and Intensive Care Medicine (33 citations), Artificial Intelligence (134 citations) and Pediatrics, Perinatology and Child Health (79 citations). Ai Dozen has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ryuji Hamamoto, Hidenori Machino, Kanto Shozu, Masaaki Komatsu, Syuzo Kaneko, Ken Asada, Akira Sakai, Suguru Yasutomi, Tatsuya Arakaki and Ryu Matsuoka. Their work appears in journals such as Applied Sciences, Biomolecules, Biomedicines, Clinical Epigenetics and Cancers.
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.