Yu-Ying Yeh

702 total citations
10 papers, 325 citations indexed

About

Yu-Ying Yeh is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Yu-Ying Yeh has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Graphics and Computer-Aided Design and 2 papers in Artificial Intelligence. Recurrent topics in Yu-Ying Yeh's work include Advanced Vision and Imaging (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Yu-Ying Yeh is often cited by papers focused on Advanced Vision and Imaging (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Computer Graphics and Visualization Techniques (3 papers). Yu-Ying Yeh collaborates with scholars based in United States and Taiwan. Yu-Ying Yeh's 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 and has published in prestigious 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).

In The Last Decade

Yu-Ying Yeh

10 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu-Ying Yeh United States 7 271 79 69 39 37 10 325
Ignas Budvytis United Kingdom 13 382 1.4× 45 0.6× 60 0.9× 104 2.7× 16 0.4× 26 444
Bill Freeman United States 10 244 0.9× 80 1.0× 73 1.1× 85 2.2× 9 0.2× 19 302
Weize Quan China 11 313 1.2× 42 0.5× 30 0.4× 31 0.8× 11 0.3× 23 391
Konstantinos Rematas Germany 11 340 1.3× 33 0.4× 124 1.8× 55 1.4× 11 0.3× 20 378
Yipeng Qin United Kingdom 9 145 0.5× 54 0.7× 51 0.7× 68 1.7× 20 0.5× 34 273
Suryansh Kumar United States 11 248 0.9× 23 0.3× 67 1.0× 50 1.3× 15 0.4× 25 311
Ajad Chhatkuli Switzerland 12 208 0.8× 53 0.7× 18 0.3× 44 1.1× 9 0.2× 21 267
Ruixuan Yu China 6 190 0.7× 35 0.4× 47 0.7× 175 4.5× 15 0.4× 10 315

Countries citing papers authored by Yu-Ying Yeh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Yeh, Yu-Ying, Jia‐Bin Huang, Chang-Il Kim, et al.. (2024). TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware Diffusion. 4304–4314. 6 indexed citations
2.
Yeh, Yu-Ying, Koki Nagano, Sameh Khamis, et al.. (2022). Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. ACM Transactions on Graphics. 41(6). 1–21. 40 indexed citations
3.
Yeh, Yu-Ying, Zhengqin Li, Yannick Hold-Geoffroy, et al.. (2022). PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18541–18550. 21 indexed citations
4.
Li, Zhengqin, Sarah Wang, Meng Song, et al.. (2021). OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets. 7186–7195. 41 indexed citations
5.
Yeh, Yu-Ying, Yen‐Cheng Liu, Wei-Chen Chiu, & Yu-Chiang Frank Wang. (2020). Static2Dynamic: Video Inference From a Deep Glimpse. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(4). 440–449. 4 indexed citations
6.
Li, Zhengqin, Yu-Ying Yeh, & Manmohan Chandraker. (2020). Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. 1259–1268. 46 indexed citations
7.
Li, Yu-Jhe, Fu-En Yang, Yen‐Cheng Liu, et al.. (2018). Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification. 67 indexed citations
8.
Liu, Alexander H., Yen‐Cheng Liu, Yu-Ying Yeh, & Yu-Chiang Frank Wang. (2018). A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. arXiv (Cornell University). 31. 2590–2599. 38 indexed citations
9.
Liu, Yen‐Cheng, et al.. (2018). Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. 8867–8876. 61 indexed citations
10.
Yeh, Yu-Ying, et al.. (2013). A comparison of machine learning methods on Hyperspectral plant disease assessments. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026