Yu-Ying Yeh
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Biomedical Engineering
- Co-authors
- Yu-Chiang Frank WangYen‐Cheng LiuZhengqin LiManmohan ChandrakerWei-Chen ChiuYu-Jhe LiXiaofei DuFu-En Yang
- Topics
- Advanced Vision and Imaging (5 papers)Generative Adversarial Networks and Image Synthesis (3 papers)Computer Graphics and Visualization Techniques (3 papers)
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Emerging Topics in Computational Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesTaiwan
In The Last Decade
Yu-Ying Yeh
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 271
- Artificial Intelligence 79
- Computer Graphics and Computer-Aided Design 69
- Computational Mechanics 39
- Biomedical Engineering 37
Countries citing papers authored by Yu-Ying Yeh
This map shows the geographic impact of Yu-Ying Yeh'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 Yu-Ying Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Ying Yeh more than expected).
Fields of papers citing papers by Yu-Ying Yeh
This network shows the impact of papers produced by Yu-Ying Yeh. 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 Yu-Ying Yeh. The network helps show where Yu-Ying Yeh may publish in the future.
Co-authorship network of co-authors of Yu-Ying Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ying Yeh. A scholar is included among the top collaborators of Yu-Ying Yeh 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 Yu-Ying Yeh. Yu-Ying Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 40 | |
| 3 | 21 | |
| 4 | 41 | |
| 5 | 4 | |
| 6 | 46 | |
| 7 | 67 | |
| 8 | 38 | |
| 9 | 61 | |
| 10 | A comparison of machine learning methods on Hyperspectral plant disease assessments | 1 |
About Yu-Ying Yeh
Yu-Ying Yeh is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 10 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (69 citations), Computer Vision and Pattern Recognition (271 citations) and Geology (30 citations). Yu-Ying Yeh has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Yu-Chiang Frank Wang, Yen‐Cheng Liu, Zhengqin Li, Manmohan Chandraker, Wei-Chen Chiu, Yu-Jhe Li, Xiaofei Du, Fu-En Yang, Sheng‐De Wang and Alexander H. Liu. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Emerging Topics in Computational Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.