Yoshihiro Mitani
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Media Technology top 5%
- Signal Processing top 10%
- Co-authors
- Yoshihiko HamamotoYusuke FujitaShunji UchimuraShingo TomitaMakoto WatanabeT. YasudaY. OnoIsao Sakaida
- Topics
- AI in cancer detection (7 papers)Spectroscopy Techniques in Biomedical and Chemical Research (6 papers)Spectroscopy and Chemometric Analyses (5 papers)
- Partner nations
- JapanUnited KingdomMalaysia
In The Last Decade
Yoshihiro Mitani
30 papers receiving 439 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 222
- Artificial Intelligence 146
- Civil and Structural Engineering 130
- Media Technology 59
- Signal Processing 44
Countries citing papers authored by Yoshihiro Mitani
This map shows the geographic impact of Yoshihiro Mitani'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 Yoshihiro Mitani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Mitani more than expected).
Fields of papers citing papers by Yoshihiro Mitani
This network shows the impact of papers produced by Yoshihiro Mitani. 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 Yoshihiro Mitani. The network helps show where Yoshihiro Mitani may publish in the future.
Co-authorship network of co-authors of Yoshihiro Mitani
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihiro Mitani. A scholar is included among the top collaborators of Yoshihiro Mitani 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 Yoshihiro Mitani. Yoshihiro Mitani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | A study of fingerspelling recognition by hand shape using higher-order local auto-correlation features | 0 |
| 14 | A study of shortest path algorithms in maze images | 3 |
| 15 | A consideration of pan-sharpen images by HSI transformation approach | 10 |
| 16 | A study of color features for reading a resistor | 2 |
| 17 | 0 | |
| 18 | 142 | |
| 19 | 1 | |
| 20 | 1 |
About Yoshihiro Mitani
Yoshihiro Mitani is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Health Informatics, having authored 35 papers that have together received 476 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Media Technology (59 citations) and Civil and Structural Engineering (130 citations). Yoshihiro Mitani has collaborated with scholars based in Japan, United Kingdom and Malaysia. Frequent co-authors include Yoshihiko Hamamoto, Yusuke Fujita, Shunji Uchimura, Shingo Tomita, Makoto Watanabe, T. Yasuda, Y. Ono, Isao Sakaida, Robert B. Fisher and Naofumi Matsunaga. Their work appears in journals such as Sensors, Pattern Recognition and Pattern Recognition Letters.
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.