Yuki Endo
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 2%
- Media Technology top 10%
- Computational Mechanics
- Biomedical Engineering
- Co-authors
- Yoshihiro KanamoriJun MitaniSatoshi IizukaAkihiro YamashitaShigeru KuriyamaHideyuki HaruyamaYukio FukuiSatoshi Miyamoto
- Topics
- Computer Graphics and Visualization Techniques (13 papers)Advanced Vision and Imaging (12 papers)Generative Adversarial Networks and Image Synthesis (10 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Yuki Endo
28 papers receiving 450 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 399
- Computer Graphics and Computer-Aided Design 90
- Media Technology 55
- Computational Mechanics 39
- Biomedical Engineering 31
Countries citing papers authored by Yuki Endo
This map shows the geographic impact of Yuki Endo'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 Endo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Endo more than expected).
Fields of papers citing papers by Yuki Endo
This network shows the impact of papers produced by Yuki Endo. 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 Endo. The network helps show where Yuki Endo may publish in the future.
Co-authorship network of co-authors of Yuki Endo
This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Endo. A scholar is included among the top collaborators of Yuki Endo 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 Endo. Yuki Endo 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 | 4 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 40 | |
| 12 | 4 | |
| 13 | 30 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | Comparison of velocities of the dry and wet snow avalanches at Makunosawa valley in Myoko, Japan | 1 |
About Yuki Endo
Yuki Endo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 30 papers that have together received 466 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Advanced Vision and Imaging (12 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (90 citations), Computer Vision and Pattern Recognition (399 citations) and Media Technology (55 citations). Yuki Endo has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Yoshihiro Kanamori, Jun Mitani, Satoshi Iizuka, Akihiro Yamashita, Shigeru Kuriyama, Hideyuki Haruyama, Yukio Fukui, Satoshi Iizuka, Satoshi Miyamoto and Y. Takeuchi. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Symmetry.
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.