Yuichi Motai
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Suk Jin LeeAkio KosakaDryver R. HustonMariette AwadXingquan ZhuElisabeth WeissHiroyuki YoshidaSumit Kumar Jha
- Topics
- Robotics and Sensor-Based Localization (11 papers)Advanced Vision and Imaging (10 papers)Video Surveillance and Tracking Methods (8 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesTürkiyeSouth Korea
In The Last Decade
Yuichi Motai
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 402
- Artificial Intelligence 278
- Electrical and Electronic Engineering 222
- Aerospace Engineering 197
- Control and Systems Engineering 178
Countries citing papers authored by Yuichi Motai
This map shows the geographic impact of Yuichi Motai'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 Yuichi Motai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Motai more than expected).
Fields of papers citing papers by Yuichi Motai
This network shows the impact of papers produced by Yuichi Motai. 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 Yuichi Motai. The network helps show where Yuichi Motai may publish in the future.
Co-authorship network of co-authors of Yuichi Motai
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Motai. A scholar is included among the top collaborators of Yuichi Motai 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 Yuichi Motai. Yuichi Motai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 36 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 45 | |
| 12 | 3 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 13 | |
| 17 | 22 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | 7 |
About Yuichi Motai
Yuichi Motai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (402 citations), Media Technology (78 citations) and Artificial Intelligence (278 citations). Yuichi Motai has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Suk Jin Lee, Akio Kosaka, Dryver R. Huston, Mariette Awad, Xingquan Zhu, Elisabeth Weiss, Hiroyuki Yoshida, Sumit Kumar Jha, John G. Rogers and Wenhai Xu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Biomedical Engineering.
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.