Fukunaga
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
-
- Face and Expression Recognition 1
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- Microwave Engineering and Waveguides 1
- Co-authors
- Yasuo Kawakami (1 shared paper)Kubo (1 shared paper)Kevin R. Short (1 shared paper)Ryuji Kobayashi (1 shared paper)Kong (1 shared paper)Yamashita (1 shared paper)
- Journals
- IEEE Transactions on Computers (3 papers)Histopathology (2 papers)Immunology (1 paper)Society of Instrument and Control Engineers of Japan (1 paper)Acta Physiologica Scandinavica (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Fukunaga
11 papers receiving 1.3k citations
Fukunaga's Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 603
- Computer Vision and Pattern Recognition 374
- Orthopedics and Sports Medicine 95
- Obstetrics and Gynecology 62
- Media Technology 85
Countries citing papers authored by Fukunaga
This map shows the geographic impact of Fukunaga'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 Fukunaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fukunaga more than expected).
Fields of papers citing papers by Fukunaga
This network shows the impact of papers produced by Fukunaga. 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 Fukunaga. The network helps show where Fukunaga may publish in the future.
Co-authors
The 6 scholars most cited alongside Fukunaga, 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 | A Branch and Bound Algorithm for Feature Subset Selection Hit paper breakdown → | 1977 | 978 |
| 2 | 1976 | 153 | |
| 3 | 2000 | 109 | |
| 4 | 2000 | 60 | |
| 5 | 1998 | 23 | |
| 6 | 1978 | 8 | |
| 7 | 1999 | 4 | |
| 8 | 1998 | 4 | |
| 9 | Development of the assisted artificial heart with linear motor actuator | 2004 | 2 |
| 10 | 2004 | 2 | |
| 11 | 2003 | 2 |
About Fukunaga
Fukunaga is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Surgery, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (1 paper), Endometriosis Research and Treatment (1 paper), Lymphatic Disorders and Treatments (1 paper), Animal Ecology and Behavior Studies (1 paper), Lymphadenopathy Diagnosis and Analysis (1 paper), Microwave Engineering and Waveguides (1 paper), Face and Expression Recognition (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Artificial Intelligence (603 citations), Computer Vision and Pattern Recognition (374 citations), Orthopedics and Sports Medicine (95 citations), Obstetrics and Gynecology (62 citations) and Media Technology (85 citations). Fukunaga has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yasuo Kawakami, Kubo, Kevin R. Short, Ryuji Kobayashi, Kong and Yamashita. Their work appears in journals such as IEEE Transactions on Computers, Histopathology, Immunology, Society of Instrument and Control Engineers of Japan and Acta Physiologica Scandinavica.
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.