Chihiro Abe
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Catalysis for Biomass Conversion 2
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- Gastric Cancer Management and Outcomes 1
- Co-authors
- Steven M. Montner (3 shared papers)Heber MacMahon (3 shared papers)Maryellen L. Giger (3 shared papers)Kunio Doi (1 shared paper)N. Asada (2 shared papers)Yao‐Kuang Wu (1 shared paper)Taku Michael Aida (2 shared papers)Richard L. Smith (2 shared papers)
- Journals
- Investigative Radiology (2 papers)Japanese Journal of Applied Physics (1 paper)Environmental Health and Preventive Medicine (1 paper)Japanese Journal of Clinical Oncology (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Chihiro Abe
16 papers receiving 293 citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 70
- Health Informatics 4
- Artificial Intelligence 77
- Biomaterials 26
- Health Information Management 8
Countries citing papers authored by Chihiro Abe
This map shows the geographic impact of Chihiro Abe'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 Chihiro Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chihiro Abe more than expected).
Fields of papers citing papers by Chihiro Abe
This network shows the impact of papers produced by Chihiro Abe. 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 Chihiro Abe. The network helps show where Chihiro Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Chihiro Abe, 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 | 1990 | 103 | |
| 2 | 2019 | 48 | |
| 3 | 2014 | 43 | |
| 4 | 2012 | 33 | |
| 5 | 1992 | 17 | |
| 6 | 2017 | 14 | |
| 7 | 1990 | 9 | |
| 8 | A Japanese lyrics writing support system for amateur songwriters | 2012 | 8 |
| 9 | 2016 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2007 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2018 | 2 | |
| 14 | A morphable 3-D face model obtained from range images of faces and its application to face image synthesis | 2004 | 1 |
| 15 | 2023 | 1 | |
| 16 | 1990 | 1 | |
| 17 | 1980 | 1 |
About Chihiro Abe
Chihiro Abe is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Epidemiology, having authored 17 papers that have together received 304 indexed citations. Recurring topics across this work include Catalysis for Biomass Conversion (2 papers), EEG and Brain-Computer Interfaces (2 papers), Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), Gastric Cancer Management and Outcomes (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Natural Language Processing Techniques (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (70 citations), Health Informatics (4 citations), Artificial Intelligence (77 citations), Biomaterials (26 citations) and Health Information Management (8 citations). Chihiro Abe has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Steven M. Montner, Heber MacMahon, Maryellen L. Giger, Kunio Doi, N. Asada, Yao‐Kuang Wu, Taku Michael Aida, Richard L. Smith, Masaru Watanabe and Masayuki Iguchi. Their work appears in journals such as Investigative Radiology, Japanese Journal of Applied Physics, Environmental Health and Preventive Medicine, Japanese Journal of Clinical Oncology and Frontiers in Neuroscience.
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.