Fumio Okura
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- Computer Graphics and Visualization Techniques 12
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- Advanced Vision and Imaging 20
- Augmented Reality Applications 7
- Optical measurement and interference techniques 7
- Analytical Chemistry top 5%
- Geology top 10%
- 3D Surveying and Cultural Heritage 7
- Plant Science top 10%
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- Robotics and Sensor-Based Localization 11
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- Dementia and Cognitive Impairment Research 6
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- EEG and Brain-Computer Interfaces 5
- Co-authors
- Yosuke TodaNaokazu YokoyaYasushi YagiMasayuki KanbaraYasuyuki MatsushitaHiroyuki TsujiDaisuke SaishoJun Ito
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionAnalytical Chemistry
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Scientific Reports (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Fumio Okura
49 papers receiving 644 citations
Peers
Comparison fields: 5 of 101
- Computer Graphics and Computer-Aided Design 53
- Computer Vision and Pattern Recognition 209
- Analytical Chemistry 80
- Geology 44
- Plant Science 280
Countries citing papers authored by Fumio Okura
This map shows the geographic impact of Fumio Okura'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 Fumio Okura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Okura more than expected).
Fields of papers citing papers by Fumio Okura
This network shows the impact of papers produced by Fumio Okura. 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 Fumio Okura. The network helps show where Fumio Okura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fumio Okura, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 7 | |
| 13 | Developing a Close-Contact Detection System Using a Single Camera for Sports Considering Occlusion | 2021 | 0 |
| 14 | 2020 | 103 | |
| 15 | Intelligent Leaf Disease Classification using Machine Learning Technique | 2019 | 0 |
| 16 | 2019 | 161 | |
| 17 | 2019 | 27 | |
| 18 | 2016 | 4 | |
| 19 | 2014 | 4 | |
| 20 | Augmented Telepresence Using Recorded Aerial Omnidirectional Videos Captured from Unmanned Airship | 2011 | 0 |
About Fumio Okura
Fumio Okura is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 58 papers that have together received 674 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (20 papers), Computer Graphics and Visualization Techniques (12 papers), Robotics and Sensor-Based Localization (11 papers), Augmented Reality Applications (7 papers), 3D Surveying and Cultural Heritage (7 papers), Optical measurement and interference techniques (7 papers), Dementia and Cognitive Impairment Research (6 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (53 citations), Computer Vision and Pattern Recognition (209 citations) and Analytical Chemistry (80 citations). Fumio Okura has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yosuke Toda, Naokazu Yokoya, Yasushi Yagi, Masayuki Kanbara, Yasuyuki Matsushita, Hiroyuki Tsuji, Daisuke Saisho, Jun Ito, Toshinori Kinoshita and Satoshi Okada. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.