T. Wakabayashi
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Fumitaka KimuraUmapada PalNabin SharmaAkihiko MatsumineAtsumasa UchidaKatsuyuki KusuzakiHaruhiko SatonakaTakao Matsubara
- Topics
- Handwritten Text Recognition Techniques (9 papers)Image Processing and 3D Reconstruction (7 papers)Vehicle License Plate Recognition (5 papers)
In The Last Decade
T. Wakabayashi
33 papers receiving 766 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 375
- Media Technology 211
- Pulmonary and Respiratory Medicine 155
- Molecular Biology 126
- Biomedical Engineering 104
Countries citing papers authored by T. Wakabayashi
This map shows the geographic impact of T. Wakabayashi'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 T. Wakabayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wakabayashi more than expected).
Fields of papers citing papers by T. Wakabayashi
This network shows the impact of papers produced by T. Wakabayashi. 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 T. Wakabayashi. The network helps show where T. Wakabayashi may publish in the future.
Co-authorship network of co-authors of T. Wakabayashi
This figure shows the co-authorship network connecting the top 25 collaborators of T. Wakabayashi. A scholar is included among the top collaborators of T. Wakabayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Wakabayashi. T. Wakabayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 65 | |
| 10 | Flash wave light strongly enhanced the cytocidal effect of photodynamic therapy with acridine orange on a mouse osteosarcoma cell line. | 21 |
| 11 | 132 | |
| 12 | 35 | |
| 13 | 40 | |
| 14 | 14 | |
| 15 | ACCURACY IMPROVEMENT OF HANDWRITTEN CHARACTER RECOGNITION BY GLVQ | 9 |
| 16 | 3 | |
| 17 | 38 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 4 |
About T. Wakabayashi
T. Wakabayashi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cancer Research, having authored 39 papers that have together received 818 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (9 papers), Image Processing and 3D Reconstruction (7 papers) and Vehicle License Plate Recognition (5 papers). The work is most often cited by research in Media Technology (211 citations), Computer Vision and Pattern Recognition (375 citations) and Human-Computer Interaction (35 citations). T. Wakabayashi has collaborated with scholars based in Japan, India and Ireland. Frequent co-authors include Fumitaka Kimura, Umapada Pal, Nabin Sharma, Akihiko Matsumine, Atsumasa Uchida, Katsuyuki Kusuzaki, Haruhiko Satonaka, Takao Matsubara, Ken Shintani and Takahiro Iino. Their work appears in journals such as Biochemical and Biophysical Research Communications, Medicine and Journal of Surgical Oncology.
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.