Tanaka Kanji
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Media Technology
- Environmental Engineering
- Co-authors
- Masatoshi AndoKoji TakedaKensuke KondoYoshiki TakahashiWei SongYasushi MaeMamoru MinamiKenta Ogawa
- Topics
- Advanced Image and Video Retrieval Techniques (42 papers)Robotics and Sensor-Based Localization (41 papers)Multimodal Machine Learning Applications (11 papers)
- Partner nations
- Japan
In The Last Decade
Tanaka Kanji
53 papers receiving 193 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 165
- Aerospace Engineering 134
- Artificial Intelligence 35
- Media Technology 19
- Environmental Engineering 15
Countries citing papers authored by Tanaka Kanji
This map shows the geographic impact of Tanaka Kanji'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 Tanaka Kanji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanaka Kanji more than expected).
Fields of papers citing papers by Tanaka Kanji
This network shows the impact of papers produced by Tanaka Kanji. 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 Tanaka Kanji. The network helps show where Tanaka Kanji may publish in the future.
Co-authorship network of co-authors of Tanaka Kanji
This figure shows the co-authorship network connecting the top 25 collaborators of Tanaka Kanji. A scholar is included among the top collaborators of Tanaka Kanji 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 Tanaka Kanji. Tanaka Kanji 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | A bag-of-bounding-boxes approach to object-level view image retrieval | 1 |
| 14 | Common Landmark Discovery in Urban Scenes | 6 |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | Robot self-localization using simulated experience | 1 |
| 19 | 5 | |
| 20 | Human-like patient robot with chaotic emotion for injection training | 17 |
About Tanaka Kanji
Tanaka Kanji is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 58 papers that have together received 216 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (42 papers), Robotics and Sensor-Based Localization (41 papers) and Multimodal Machine Learning Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Aerospace Engineering (134 citations) and Geology (14 citations). Tanaka Kanji has collaborated with scholars based in Japan. Frequent co-authors include Masatoshi Ando, Koji Takeda, Kensuke Kondo, Yoshiki Takahashi, Wei Song, Yasushi Mae, Mamoru Minami, Kenta Ogawa, Yoshimasa Nakamura and Tetsuya Ishimaru. Their work appears in journals such as Applied Sciences, Machine Vision and Applications and ICT Express.
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.