Zhengqi Li

3.2k total citations · 1 hit paper
20 papers, 920 citations indexed

About

Zhengqi Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering. According to data from OpenAlex, Zhengqi Li has authored 20 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Aerospace Engineering. Recurrent topics in Zhengqi Li's work include Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Zhengqi Li is often cited by papers focused on Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Zhengqi Li collaborates with scholars based in United States, China and Canada. Zhengqi Li's co-authors include Noah Snavely, Oliver Wang, Simon Niklaus, Forrester Cole, Richard Tucker, William T. Freeman, Ce Liu, Tali Dekel, Richard P. Tucker and Fujun Luan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water and IEEE Robotics and Automation Letters.

In The Last Decade

Zhengqi Li

18 papers receiving 890 citations

Hit Papers

Neural Scene Flow Fields for Space-Time View Synthesis of... 2021 2026 2022 2024 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. Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
    2021 369 citations Zhengqi Li, Simon Niklaus et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengqi Li United States 12 774 347 231 123 89 20 920
Richard Tucker United States 10 1.0k 1.3× 558 1.6× 247 1.1× 93 0.8× 120 1.3× 16 1.1k
Abhishek Kar United States 10 876 1.1× 442 1.3× 326 1.4× 130 1.1× 71 0.8× 12 988
Zhixin Shu United States 13 824 1.1× 335 1.0× 282 1.2× 62 0.5× 51 0.6× 27 963
Vickie Ye United States 5 755 1.0× 447 1.3× 335 1.5× 97 0.8× 34 0.4× 6 892
Sara Fridovich-Keil United States 6 799 1.0× 585 1.7× 404 1.7× 124 1.0× 26 0.3× 7 1.1k
J. Oliensis United States 17 795 1.0× 223 0.6× 210 0.9× 260 2.1× 124 1.4× 44 943
Simon Niklaus United States 12 1.8k 2.3× 339 1.0× 205 0.9× 108 0.9× 395 4.4× 16 1.9k
Julien Philip United States 9 698 0.9× 526 1.5× 316 1.4× 83 0.7× 31 0.3× 14 835
Kartic Subr United Kingdom 14 374 0.5× 245 0.7× 128 0.6× 48 0.4× 53 0.6× 45 584

Countries citing papers authored by Zhengqi Li

Since Specialization
Citations

This map shows the geographic impact of Zhengqi 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 Zhengqi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengqi Li more than expected).

Fields of papers citing papers by Zhengqi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhengqi 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 Zhengqi Li. The network helps show where Zhengqi Li may publish in the future.

Co-authorship network of co-authors of Zhengqi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengqi Li. A scholar is included among the top collaborators of Zhengqi 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 Zhengqi Li. Zhengqi 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, Zhengqi, Richard P. Tucker, Forrester Cole, et al.. (2025). MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos. 10486–10496. 4 indexed citations
2.
Cai, Ruojin, Jason Zhang, Philipp Henzler, et al.. (2025). Can Generative Video Models Help Pose Estimation?. 16764–16773.
3.
4.
5.
Li, Zhengqi, Richard Tucker, Noah Snavely, & Aleksander Holynski. (2024). Generative Image Dynamics. 24142–24153. 11 indexed citations
6.
Chai, Lucy, Richard P. Tucker, Zhengqi Li, Phillip Isola, & Noah Snavely. (2023). Persistent Nature: A Generative Model of Unbounded 3D Worlds. 20863–20874. 8 indexed citations
7.
Chang, Yen-Yu, Ruojin Cai, Zhengqi Li, et al.. (2023). Tracking Everything Everywhere All at Once. 19738–19749. 55 indexed citations
8.
Li, Zhengqi, Qianqian Wang, Forrester Cole, Richard P. Tucker, & Noah Snavely. (2023). DynIBaR: Neural Dynamic Image-Based Rendering. 4273–4284. 72 indexed citations
9.
Lu, Erika, et al.. (2023). Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. 630–639. 1 indexed citations
10.
Wang, Qianqian, Zhengqi Li, David Salesin, et al.. (2022). 3D Moments from Near-Duplicate Photos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3896–3905. 11 indexed citations
11.
Zhang, Kai, Fujun Luan, Zhengqi Li, & Noah Snavely. (2022). IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5555–5564. 58 indexed citations
12.
Ye, Vickie, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, & Noah Snavely. (2022). Deformable Sprites for Unsupervised Video Decomposition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2647–2656. 28 indexed citations
13.
Fei, Xiaoyan, et al.. (2021). A 1064 nm single-photon lidar for three-dimensional imaging. Journal of Physics Conference Series. 1983(1). 12093–12093. 5 indexed citations
14.
Li, Zhengqi, Simon Niklaus, Noah Snavely, & Oliver Wang. (2021). Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. 6494–6504. 369 indexed citations breakdown →
15.
Li, Zhengqi, Tali Dekel, Forrester Cole, et al.. (2020). MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(12). 4229–4241. 16 indexed citations
16.
Xian, Wenqi, et al.. (2019). UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. 9973–9982. 27 indexed citations
17.
Li, Zhengqi, Tali Dekel, Forrester Cole, et al.. (2019). Learning the Depths of Moving People by Watching Frozen People. 4516–4525. 117 indexed citations
18.
Li, Zhengqi & Noah Snavely. (2018). Learning Intrinsic Image Decomposition from Watching the World. 9039–9048. 97 indexed citations
19.
Wang, Shuang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, & Yan Li. (2016). Classifying vehicles with convolutional neural network and feature encoding. 8. 784–787. 10 indexed citations
20.
Li, Zhengqi & Volkan Isler. (2016). Large Scale Image Mosaic Construction for Agricultural Applications. IEEE Robotics and Automation Letters. 1(1). 295–302. 30 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

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