Keisuke Yoneda
- Automotive Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Environmental Engineering top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Mohammad AldibajaNaoki SuganumaSeiichi MitaRyo YanaseHossein TehraniQuoc HuyVijay JohnZheng Liu
- Topics
- Autonomous Vehicle Technology and Safety (30 papers)Robotics and Sensor-Based Localization (30 papers)Remote Sensing and LiDAR Applications (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsRemote Sensing
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Keisuke Yoneda
50 papers receiving 716 citations
Peers
Comparison fields: 5 of 64
- Automotive Engineering 381
- Computer Vision and Pattern Recognition 347
- Aerospace Engineering 282
- Environmental Engineering 160
- Control and Systems Engineering 127
Countries citing papers authored by Keisuke Yoneda
This map shows the geographic impact of Keisuke Yoneda'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 Keisuke Yoneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Yoneda more than expected).
Fields of papers citing papers by Keisuke Yoneda
This network shows the impact of papers produced by Keisuke Yoneda. 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 Keisuke Yoneda. The network helps show where Keisuke Yoneda may publish in the future.
Co-authorship network of co-authors of Keisuke Yoneda
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Yoneda. A scholar is included among the top collaborators of Keisuke Yoneda 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 Keisuke Yoneda. Keisuke Yoneda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | 2 |
About Keisuke Yoneda
Keisuke Yoneda is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 55 papers that have together received 754 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (30 papers), Robotics and Sensor-Based Localization (30 papers) and Remote Sensing and LiDAR Applications (19 papers). The work is most often cited by research in Automotive Engineering (381 citations), Computer Vision and Pattern Recognition (347 citations) and Aerospace Engineering (282 citations). Keisuke Yoneda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Mohammad Aldibaja, Naoki Suganuma, Seiichi Mita, Ryo Yanase, Hossein Tehrani, Quoc Huy, Vijay John, Zheng Liu, Naoya Hashimoto and Chenxi Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.
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.