Yuki Koyama
- Materials Chemistry
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Takeo IgarashiNoriyoshi ShimizuNaoto SuzukiNarihiro MitsuiMasao MaenoDaisuke SakamotoKichibee OtsukaYong‐Jin Pu
- Topics
- Bone Metabolism and Diseases (9 papers)Nematode management and characterization studies (4 papers)Bone and Dental Protein Studies (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignEndocrine and Autonomic SystemsHuman-Computer Interaction
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yuki Koyama
43 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Materials Chemistry 315
- Molecular Biology 249
- Electrical and Electronic Engineering 213
- Computer Vision and Pattern Recognition 143
- Endocrine and Autonomic Systems 105
Countries citing papers authored by Yuki Koyama
This map shows the geographic impact of Yuki Koyama'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 Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Koyama more than expected).
Fields of papers citing papers by Yuki Koyama
This network shows the impact of papers produced by Yuki Koyama. 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 Koyama. The network helps show where Yuki Koyama may publish in the future.
Co-authorship network of co-authors of Yuki Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Koyama. A scholar is included among the top collaborators of Yuki Koyama 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 Koyama. Yuki Koyama 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 | 0 | |
| 3 | 8 | |
| 4 | Delayed fluorescence from inverted singlet and triplet excited statesbreakdown → | 187 |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 46 | |
| 14 | 59 | |
| 15 | 49 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 25 | |
| 19 | 21 | |
| 20 | 81 |
About Yuki Koyama
Yuki Koyama is a scholar working on Computer Graphics and Computer-Aided Design, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), Nematode management and characterization studies (4 papers) and Bone and Dental Protein Studies (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Endocrine and Autonomic Systems (105 citations) and Human-Computer Interaction (83 citations). Yuki Koyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takeo Igarashi, Noriyoshi Shimizu, Naoto Suzuki, Narihiro Mitsui, Masao Maeno, Daisuke Sakamoto, Kichibee Otsuka, Yong‐Jin Pu, Ryan Schmidt and Nobuyuki Umetani. Their work appears in journals such as Nature, Journal of Applied Physics and Diabetes.
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.