Y. Maeda
Impact in
-
- Computer Graphics and Visualization Techniques
- Immunology and Allergy top 10%
- Allergic Rhinitis and Sensitization
Papers in
-
- Image and Signal Denoising Methods 15
- Image Enhancement Techniques 12
- Advanced Image Processing Techniques 5
- Co-authors
- Norishige Fukushima (21 shared papers)Mikio Namiki (5 shared papers)Akiko Shiratsuchi (1 shared paper)Yoshinobu Nakanishi (1 shared paper)Hiroshi Matsuo (2 shared papers)Issei Fujishiro (1 shared paper)Hiroki Sato (1 shared paper)Yasuhiro Takeshima (1 shared paper)
- Journals
- IEEE Access (4 papers)IEEE Communications Magazine (4 papers)Allergy (3 papers)Journal of Allergy and Clinical Immunology (2 papers)Applied Sciences (2 papers)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Y. Maeda
73 papers receiving 658 citations
Peers
Comparison fields: 5 of 120
- Computer Graphics and Computer-Aided Design 58
- Immunology and Allergy 52
- Computer Vision and Pattern Recognition 159
- Human-Computer Interaction 39
- Reproductive Medicine 37
Countries citing papers authored by Y. Maeda
This map shows the geographic impact of Y. Maeda'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 Y. Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Maeda more than expected).
Fields of papers citing papers by Y. Maeda
This network shows the impact of papers produced by Y. Maeda. 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 Y. Maeda. The network helps show where Y. Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 66 | |
| 2 | 2003 | 47 | |
| 3 | 1996 | 44 | |
| 4 | 1996 | 32 | |
| 5 | 2009 | 32 | |
| 6 | 1994 | 31 | |
| 7 | 2007 | 27 | |
| 8 | 2020 | 25 | |
| 9 | 1991 | 24 | |
| 10 | 2015 | 24 | |
| 11 | 2013 | 22 | |
| 12 | 2018 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2002 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2011 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 1998 | 11 | |
| 20 | 2023 | 10 |
About Y. Maeda
Y. Maeda is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Media Technology and Pathology and Forensic Medicine, having authored 79 papers that have together received 690 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Image Enhancement Techniques (12 papers), Advanced Image Processing Techniques (5 papers), Vitamin D Research Studies (5 papers), Teleoperation and Haptic Systems (4 papers), Advanced Image Fusion Techniques (4 papers), Asthma and respiratory diseases (4 papers) and Allergic Rhinitis and Sensitization (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (58 citations), Immunology and Allergy (52 citations), Computer Vision and Pattern Recognition (159 citations), Human-Computer Interaction (39 citations) and Reproductive Medicine (37 citations). Y. Maeda has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Norishige Fukushima, Mikio Namiki, Akiko Shiratsuchi, Yoshinobu Nakanishi, Hiroshi Matsuo, Issei Fujishiro, Hiroki Sato, Yasuhiro Takeshima, Takashi Nakaya and Hiroshi Yasueda. Their work appears in journals such as IEEE Access, IEEE Communications Magazine, Allergy, Journal of Allergy and Clinical Immunology and Applied Sciences.
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.