Beichen Li

1.5k total citations · 2 hit papers
20 papers, 1.1k citations indexed

About

Beichen Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Beichen Li has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 3 papers in Computational Mechanics. Recurrent topics in Beichen Li's work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Optical Imaging Technologies (3 papers). Beichen Li is often cited by papers focused on Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Optical Imaging Technologies (3 papers). Beichen Li collaborates with scholars based in United States, China and United Kingdom. Beichen Li's co-authors include Wojciech Matusik, Liang Shi, Petr Kellnhofer, Chang-Il Kim, Wan Shou, Michael Foshey, Yiyue Luo, Antonio Torralba, Kui Wu and Pratyusha Sharma and has published in prestigious journals such as Nature, Physical Review Letters and Chemical Engineering Journal.

In The Last Decade

Beichen Li

19 papers receiving 971 citations

Hit Papers

Towards real-time photorealistic 3D holography with deep ... 2021 2026 2022 2024 2021 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Towards real-time photorealistic 3D holography with deep neural networks
    2021 391 citations Liang Shi, Beichen Li et al. Nature profile →
  2. Learning human–environment interactions using conformal tactile textiles
    2021 296 citations Yiyue Luo, Yunzhu Li et al. Nature Electronics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beichen Li United States 10 395 372 334 267 168 20 1.1k
Ryuji Hirayama Japan 16 540 1.4× 330 0.9× 425 1.3× 288 1.1× 82 0.5× 50 1.1k
Achintya K. Bhowmik United States 17 188 0.5× 197 0.5× 267 0.8× 391 1.5× 55 0.3× 76 1.2k
Guoqiang Lv China 17 408 1.0× 126 0.3× 305 0.9× 136 0.5× 42 0.3× 94 897
Liming Huang China 20 184 0.5× 253 0.7× 72 0.2× 562 2.1× 78 0.5× 50 1.9k
Oh‐Kyong Kwon South Korea 24 116 0.3× 645 1.7× 165 0.5× 183 0.7× 60 0.4× 200 2.2k
Ki‐Chul Kwon South Korea 20 772 2.0× 179 0.5× 449 1.3× 422 1.6× 69 0.4× 104 1.1k
Sungyong Jung United States 20 1.0k 2.6× 239 0.6× 824 2.5× 207 0.8× 48 0.3× 108 1.6k
Yu Han China 13 103 0.3× 126 0.3× 113 0.3× 101 0.4× 18 0.1× 52 519
Xin Wen China 16 62 0.2× 120 0.3× 91 0.3× 219 0.8× 32 0.2× 54 928
Tadashi Shibata Japan 18 100 0.3× 204 0.5× 181 0.5× 239 0.9× 72 0.4× 141 1.3k

Countries citing papers authored by Beichen Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beichen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Beichen Li. A scholar is included among the top collaborators of Beichen Li 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 Beichen Li. Beichen Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Beichen, Paul Guerrero, Miloš Hašan, et al.. (2024). Procedural Material Generation with Reinforcement Learning. ACM Transactions on Graphics. 43(6). 1–14. 1 indexed citations
2.
Li, Beichen, Bolei Deng, Wan Shou, et al.. (2024). Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs. Science Advances. 10(5). eadk4284–eadk4284. 30 indexed citations
3.
Li, Beichen, Liang Shi, & Wojciech Matusik. (2023). End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer Optimization. ACM Transactions on Graphics. 42(4). 1–15. 8 indexed citations
4.
Shi, Liang, Beichen Li, & Wojciech Matusik. (2022). End-to-end learning of 3D phase-only holograms for holographic display. Light Science & Applications. 11(1). 247–247. 112 indexed citations
5.
Shi, Liang, Beichen Li, Chang-Il Kim, Petr Kellnhofer, & Wojciech Matusik. (2021). Towards real-time photorealistic 3D holography with deep neural networks. Nature. 591(7849). 234–239. 391 indexed citations breakdown →
6.
Shi, Liang, Beichen Li, Chang-Il Kim, Petr Kellnhofer, & Wojciech Matusik. (2021). Author Correction: Towards real-time photorealistic 3D holography with deep neural networks. Nature. 593(7858). E13–E13. 6 indexed citations
7.
Gongora, Aldair E., Beichen Li, Wan Shou, et al.. (2021). Designing Composites with Target Effective Young’s Modulus using Reinforcement Learning. 1–11. 4 indexed citations
8.
Luo, Yiyue, Yunzhu Li, Pratyusha Sharma, et al.. (2021). Publisher Correction: Learning human–environment interactions using conformal tactile textiles. Nature Electronics. 4(4). 314–314. 7 indexed citations
9.
Luo, Yiyue, Yunzhu Li, Pratyusha Sharma, et al.. (2021). Learning human–environment interactions using conformal tactile textiles. Nature Electronics. 4(3). 193–201. 296 indexed citations breakdown →
10.
Hou, Chunping, et al.. (2020). Pointer gauge adaptive reading method based on a double match. Measurement Science and Technology. 31(11). 115002–115002. 9 indexed citations
11.
Xu, Xianchen, Wan Shou, Zongliang Du, et al.. (2020). Physical Realization of Elastic Cloaking with a Polar Material. Physical Review Letters. 124(11). 114301–114301. 63 indexed citations
12.
Yang, Sheng, Beichen Li, Yan‐Pei Cao, et al.. (2020). Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-D Cameras. ACM Transactions on Graphics. 39(5). 1–15. 17 indexed citations
13.
14.
Li, Beichen, et al.. (2020). Learning to Reason in Round-Based Games: Multi-Task Sequence Generation for Purchasing Decision Making in First-Person Shooters. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16(1). 308–314. 3 indexed citations
15.
16.
Li, Beichen, Miloš Hašan, Kalyan Sunkavalli, et al.. (2020). Match. ACM Transactions on Graphics. 39(6). 1–15. 37 indexed citations
17.
18.
Xu, Jie, Tao Du, Michael Foshey, et al.. (2019). Learning to fly. ACM Transactions on Graphics. 38(4). 1–12. 26 indexed citations
19.
Yang, Sheng, Beichen Li, Minghua Liu, et al.. (2019). HeteroFusion: Dense Scene Reconstruction Integrating Multi-Sensors. IEEE Transactions on Visualization and Computer Graphics. 26(11). 3217–3230. 12 indexed citations
20.

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.

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