Yuki Yasuda
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Atmospheric Science
- Astronomy and Astrophysics
- Computer Vision and Pattern Recognition
- Co-authors
- Jun GotoRyo OnishiK. SatoNorihiko SugimotoKeigo MatsudaDmitry KolomenskiyMichael A. SpallAntoine Venaille
- Topics
- Meteorological Phenomena and Simulations (5 papers)Advanced Image Processing Techniques (4 papers)Ionosphere and magnetosphere dynamics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of ClimateJournal of the Atmospheric Sciences
- Partner nations
- JapanUnited StatesKenya
In The Last Decade
Yuki Yasuda
17 papers receiving 235 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 132
- Experimental and Cognitive Psychology 83
- Atmospheric Science 57
- Astronomy and Astrophysics 29
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Yuki Yasuda
This map shows the geographic impact of Yuki Yasuda'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 Yuki Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Yasuda more than expected).
Fields of papers citing papers by Yuki Yasuda
This network shows the impact of papers produced by Yuki Yasuda. 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 Yuki Yasuda. The network helps show where Yuki Yasuda may publish in the future.
Co-authorship network of co-authors of Yuki Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Yasuda. A scholar is included among the top collaborators of Yuki Yasuda 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 Yuki Yasuda. Yuki Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 23 | |
| 8 | 0 | |
| 9 | 134 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | Extraction and Utilization of Human Social Network toward the Semantic Web | 0 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Social Organization and Performance Inequality in Japanese and American Markets | 1 |
About Yuki Yasuda
Yuki Yasuda is a scholar working on Statistical and Nonlinear Physics, Atmospheric Science and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 248 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (5 papers), Advanced Image Processing Techniques (4 papers) and Ionosphere and magnetosphere dynamics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (83 citations), Artificial Intelligence (132 citations) and Atmospheric Science (57 citations). Yuki Yasuda has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Jun Goto, Ryo Onishi, K. Sato, Norihiko Sugimoto, Keigo Matsuda, Dmitry Kolomenskiy, Michael A. Spall, Antoine Venaille, Freddy Bouchet and Naohiro Ishii. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Climate and Journal of the Atmospheric Sciences.
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.