Naoto Inoue
- Organic Chemistry top 5%
- Catalytic Cross-Coupling Reactions 4
- Catalytic C–H Functionalization Methods 3
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- Advanced Image and Video Retrieval Techniques 5
- Generative Adversarial Networks and Image Synthesis 4
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- Synthesis of Organic Compounds 7
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- Coronary Interventions and Diagnostics 4
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- Chemical Synthesis and Analysis 4
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- Cardiac Arrhythmias and Treatments 4
- Co-authors
- Hiroshi HorinoToshihiko YamasakiRyosuke FurutaEdgar Simo‐SerraHerbert C. BrownMichael W. RathkeShozo YamaguchiKota Yamaguchi
- Cited by
- Organic ChemistryComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- Journal of the American Chemical Society (1 paper)Circulation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Naoto Inoue
48 papers receiving 784 citations
Peers
Comparison fields: 5 of 117
- Organic Chemistry 373
- Computer Vision and Pattern Recognition 198
- Computer Graphics and Computer-Aided Design 18
- Process Chemistry and Technology 14
- Health Informatics 6
Countries citing papers authored by Naoto Inoue
This map shows the geographic impact of Naoto Inoue'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 Naoto Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoto Inoue more than expected).
Fields of papers citing papers by Naoto Inoue
This network shows the impact of papers produced by Naoto Inoue. 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 Naoto Inoue. The network helps show where Naoto Inoue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoto Inoue, 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 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 55 | |
| 5 | 2019 | 68 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 30 | |
| 10 | 2017 | 41 | |
| 11 | 2016 | 8 | |
| 12 | 2015 | 45 | |
| 13 | 2014 | 2 | |
| 14 | 2012 | 1 | |
| 15 | 2006 | 3 | |
| 16 | 2004 | 7 | |
| 17 | Fractional myocardial flow reserve (FFRmyo) after coronary intervention as a predictor of chronic restenosis. | 1999 | 3 |
| 18 | 1981 | 119 | |
| 19 | 1979 | 23 | |
| 20 | 1971 | 11 |
About Naoto Inoue
Naoto Inoue is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry and Pharmacology, having authored 48 papers that have together received 813 indexed citations. Recurring topics across this work include Synthesis of Organic Compounds (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Catalytic Cross-Coupling Reactions (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Coronary Interventions and Diagnostics (4 papers), Chemical Synthesis and Analysis (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Organic Chemistry (373 citations), Computer Vision and Pattern Recognition (198 citations) and Computer Graphics and Computer-Aided Design (18 citations). Naoto Inoue has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Horino, Toshihiko Yamasaki, Ryosuke Furuta, Edgar Simo‐Serra, Herbert C. Brown, Michael W. Rathke, Shozo Yamaguchi, Kota Yamaguchi, Kazuki Iwashita and Kentaro Shiraki. Their work appears in journals such as Journal of the American Chemical Society, Circulation and SHILAP Revista de lepidopterología.
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.