Fujun Luan
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Neural Network Applications
- Face recognition and analysis
Papers in
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- Computer Graphics and Visualization Techniques 29
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- 3D Shape Modeling and Analysis 17
- Co-authors
- Kavita Bala (9 shared papers)Eli Shechtman (2 shared papers)Sylvain Paris (2 shared papers)Noah Snavely (4 shared papers)Shuang Zhao (6 shared papers)Qianqian Wang (1 shared paper)Sai Bi (11 shared papers)Zexiang Xu (11 shared papers)
- Journals
- ACM Transactions on Graphics (6 papers)Computer Graphics Forum (3 papers)Computational Visual Media (2 papers)Lecture notes in computer science (2 papers)neural information processing systems (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Fujun Luan
37 papers receiving 1.5k citations
Fujun Luan's Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Graphics and Computer-Aided Design 660
- Computer Vision and Pattern Recognition 715
- Computational Mechanics 605
- Acoustics and Ultrasonics 2
- Artificial Intelligence 54
Countries citing papers authored by Fujun Luan
This map shows the geographic impact of Fujun Luan'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 Fujun Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujun Luan more than expected).
Fields of papers citing papers by Fujun Luan
This network shows the impact of papers produced by Fujun Luan. 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 Fujun Luan. The network helps show where Fujun Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fujun Luan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Photo Style Transfer Hit paper breakdown → | 2017 | 531 |
| 2 | PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting Hit paper breakdown → | 2021 | 244 |
| 3 | 2022 | 127 | |
| 4 | 2022 | 79 | |
| 5 | 2021 | 71 | |
| 6 | 2016 | 58 | |
| 7 | 2018 | 46 | |
| 8 | 2023 | 42 | |
| 9 | 2022 | 37 | |
| 10 | 2022 | 36 | |
| 11 | 2024 | 34 | |
| 12 | 2023 | 31 | |
| 13 | 2020 | 29 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2017 | 10 |
About Fujun Luan
Fujun Luan is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Materials Chemistry and Nuclear Energy and Engineering, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (29 papers), 3D Shape Modeling and Analysis (17 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Vision and Imaging (3 papers) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (660 citations), Computer Vision and Pattern Recognition (715 citations), Computational Mechanics (605 citations), Acoustics and Ultrasonics (2 citations) and Artificial Intelligence (54 citations). Fujun Luan has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Kavita Bala, Eli Shechtman, Sylvain Paris, Noah Snavely, Shuang Zhao, Qianqian Wang, Sai Bi, Zexiang Xu, Zhengqi Li and Miloš Hašan. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Computational Visual Media, Lecture notes in computer science and neural information processing systems.
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.