Beichen Li
Impact in
- Media Technology top 1%
- Advanced Optical Imaging Technologies
- Human-Computer Interaction top 2%
- Interactive and Immersive Displays
Papers in ⓘ
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- Computer Graphics and Visualization Techniques 3
-
- Advanced Vision and Imaging 5
- Co-authors
- Wojciech Matusik (12 shared papers)Liang Shi (6 shared papers)Petr Kellnhofer (2 shared papers)Chang-Il Kim (2 shared papers)Wan Shou (5 shared papers)Yiyue Luo (3 shared papers)Michael Foshey (3 shared papers)Yunzhu Li (2 shared papers)
- Journals
- ACM Transactions on Graphics (5 papers)Nature Electronics (2 papers)Nature (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Measurement Science and Technology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Beichen Li
19 papers receiving 971 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Media Technology 395
- Human-Computer Interaction 147
- Acoustics and Ultrasonics 24
- Computer Graphics and Computer-Aided Design 68
- Computer Vision and Pattern Recognition 267
Countries citing papers authored by Beichen Li
This map shows the geographic impact of Beichen Li'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 Beichen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beichen Li more than expected).
Fields of papers citing papers by Beichen Li
This network shows the impact of papers produced by Beichen Li. 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 Beichen Li. The network helps show where Beichen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Beichen Li, 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 | Towards real-time photorealistic 3D holography with deep neural networks Hit paper breakdown → | 2021 | 391 |
| 2 | Learning human–environment interactions using conformal tactile textiles Hit paper breakdown → | 2021 | 296 |
| 3 | 2022 | 112 | |
| 4 | 2020 | 63 | |
| 5 | 2020 | 37 | |
| 6 | 2016 | 31 | |
| 7 | 2024 | 30 | |
| 8 | 2019 | 26 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2020 | 0 |
About Beichen Li
Beichen Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Geology and Energy Engineering and Power Technology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Optical Imaging Technologies (3 papers), 3D Shape Modeling and Analysis (3 papers), Computer Graphics and Visualization Techniques (3 papers), Robotics and Sensor-Based Localization (2 papers), Digital Holography and Microscopy (2 papers), Reinforcement Learning in Robotics (2 papers) and Composite Material Mechanics (2 papers). The work is most often cited by research in Media Technology (395 citations), Human-Computer Interaction (147 citations), Acoustics and Ultrasonics (24 citations), Computer Graphics and Computer-Aided Design (68 citations) and Computer Vision and Pattern Recognition (267 citations). Beichen Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wojciech Matusik, Liang Shi, Petr Kellnhofer, Chang-Il Kim, Wan Shou, Yiyue Luo, Michael Foshey, Yunzhu Li, Pratyusha Sharma and Kui Wu. Their work appears in journals such as ACM Transactions on Graphics, Nature Electronics, Nature, IEEE Transactions on Visualization and Computer Graphics and Measurement Science and Technology.
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.