Lucy Chai
Impact in
-
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Advanced Neural Network Applications
Papers in
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- Generative Adversarial Networks and Image Synthesis 3
- Image Processing and 3D Reconstruction 2
- Digital Media Forensic Detection 2
- Advanced Image Processing Techniques 1
- Advanced Vision and Imaging 1
- Co-authors
- Phillip Isola (3 shared papers)Jonas Wulff (1 shared paper)Jun-Yan Zhu (1 shared paper)Eli Shechtman (1 shared paper)Richard Zhang (1 shared paper)Noah Snavely (1 shared paper)Zhengqi Li (1 shared paper)Richard P. Tucker (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)PubMed (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Lucy Chai
6 papers receiving 67 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 46
- Architecture 3
- Computer Graphics and Computer-Aided Design 5
- Radiology, Nuclear Medicine and Imaging 11
- Biophysics 3
Countries citing papers authored by Lucy Chai
This map shows the geographic impact of Lucy Chai'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 Lucy Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Chai more than expected).
Fields of papers citing papers by Lucy Chai
This network shows the impact of papers produced by Lucy Chai. 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 Lucy Chai. The network helps show where Lucy Chai may publish in the future.
Co-authors
The 21 scholars most cited alongside Lucy Chai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 25 | |
| 2 | 2021 | 19 | |
| 3 | 2018 | 13 | |
| 4 | 2023 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 |
About Lucy Chai
Lucy Chai is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Media Technology, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 6 papers that have together received 67 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Image Processing and 3D Reconstruction (2 papers), Digital Media Forensic Detection (2 papers), Advanced Image Processing Techniques (1 paper), Advanced X-ray and CT Imaging (1 paper), Advanced Vision and Imaging (1 paper), Medical Imaging Techniques and Applications (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (46 citations), Architecture (3 citations), Computer Graphics and Computer-Aided Design (5 citations), Radiology, Nuclear Medicine and Imaging (11 citations) and Biophysics (3 citations). Lucy Chai has collaborated with scholars based in United States. Frequent co-authors include Phillip Isola, Jonas Wulff, Jun-Yan Zhu, Eli Shechtman, Richard Zhang, Noah Snavely, Zhengqi Li, Richard P. Tucker, Raymond J. Acciavatti and Andrew D. A. Maidment. Their work appears in journals such as ACM Transactions on Graphics, PubMed and arXiv (Cornell University).
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.