Kui Wu

1.6k total citations · 2 hit papers
54 papers, 1.1k citations indexed

About

Kui Wu is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Control and Systems Engineering. According to data from OpenAlex, Kui Wu has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 26 papers in Computer Graphics and Computer-Aided Design and 12 papers in Control and Systems Engineering. Recurrent topics in Kui Wu's work include Computer Graphics and Visualization Techniques (24 papers), 3D Shape Modeling and Analysis (23 papers) and Advanced Numerical Analysis Techniques (8 papers). Kui Wu is often cited by papers focused on Computer Graphics and Visualization Techniques (24 papers), 3D Shape Modeling and Analysis (23 papers) and Advanced Numerical Analysis Techniques (8 papers). Kui Wu collaborates with scholars based in United States, China and United Kingdom. Kui Wu's co-authors include Cem Yuksel, Wojciech Matusik, Yiyue Luo, Tomás Palacios, Michael Foshey, Antonio Torralba, Yunzhu Li, Beichen Li, Pratyusha Sharma and Wan Shou and has published in prestigious journals such as Nature Communications, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Kui Wu

46 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Learning human–environment interactions using conformal tactile textiles

2021 296 citations Yiyue Luo, Kui Wu et al. profile →
Adaptive tactile interaction transfer via digitally embroidered smart gloves

2024 60 citations Yiyue Luo, Kui Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kui Wu United States	16	457	356	245	242	225	54	1.1k
Mélina Skouras France	15	277 0.6×	259 0.7×	177 0.7×	79 0.3×	179 0.8×	24	1.1k
Moritz Bächer Switzerland	22	449 1.0×	439 1.2×	246 1.0×	116 0.5×	295 1.3×	48	1.6k
Chin-Yi Cheng United States	12	403 0.9×	105 0.3×	353 1.4×	162 0.7×	90 0.4×	28	1.1k
Emily Whiting United States	20	104 0.2×	410 1.2×	191 0.8×	71 0.3×	352 1.6×	47	1.3k
Andrew Spielberg United States	18	376 0.8×	118 0.3×	87 0.4×	82 0.3×	67 0.3×	32	912
Michael Foshey United States	13	404 0.9×	28 0.1×	149 0.6×	227 0.9×	47 0.2×	18	717
Jun Mitani Japan	22	150 0.3×	481 1.4×	441 1.8×	70 0.3×	523 2.3×	100	1.7k
Tomohiro Tachi Japan	23	1.3k 2.9×	108 0.3×	132 0.5×	50 0.2×	85 0.4×	85	3.0k
Nico Pietroni Italy	26	103 0.2×	1.2k 3.4×	130 0.5×	48 0.2×	1.2k 5.2×	74	2.2k
A. García‐Alonso Spain	15	266 0.6×	44 0.1×	105 0.4×	61 0.3×	98 0.4×	58	879

Countries citing papers authored by Kui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Kui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hofmann, Megan, et al.. (2025). Curl Quantization for Automatic Placement of Knit Singularities. 1–10. 1 indexed citations

2.

Huang, Tao, et al.. (2025). Real‐time Level‐of‐detail Strand‐based Rendering. Computer Graphics Forum. 44(4).

3.

Wu, Kui, Shuxiang Xu, Hao Chen, et al.. (2025). VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models. 13154–13161. 1 indexed citations

4.

Lu, Zixuan, et al.. (2025). High-performance CPU Cloth Simulation Using Domain-decomposed Projective Dynamics. ACM Transactions on Graphics. 44(4). 1–17. 1 indexed citations

5.

Gao, Xifeng, et al.. (2024). Learning Neural Traffic Rules. IEEE Robotics and Automation Letters. 9(2). 1724–1731.

6.

Pan, Zherong, et al.. (2024). Proxy Asset Generation for Cloth Simulation in Games. ACM Transactions on Graphics. 43(4). 1–12. 2 indexed citations

7.

Pan, Zherong, et al.. (2024). Real-time Physically Guided Hair Interpolation. ACM Transactions on Graphics. 43(4). 1–11. 2 indexed citations

8.

Chen, Liang, Xifeng Gao, Kui Wu, & Zherong Pan. (2024). Second-Order Convergent Collision-Constrained Optimization-Based Planner. IEEE Robotics and Automation Letters. 9(6). 4950–4957.

9.

Gao, Xifeng, Zherong Pan, Wei Li, et al.. (2024). Visual-Preserving Mesh Repair. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6586–6597. 5 indexed citations

10.

Chen, Zhen, Zherong Pan, Kui Wu, Etienne Vouga, & Xifeng Gao. (2023). Robust Low-Poly Meshing for General 3D Models. ACM Transactions on Graphics. 42(4). 1–20. 11 indexed citations

11.

Pan, Zherong, et al.. (2023). Real-time Height-field Simulation of Sand and Water Mixtures. 1–10.

12.

Ye, Xiaohan, Zherong Pan, Xifeng Gao, Kui Wu, & Bo Ren. (2023). Differentiable Learning of Scalable Multi-Agent Navigation Policies. IEEE Robotics and Automation Letters. 8(4). 2229–2236. 4 indexed citations

13.

Jin, Xiaogang, et al.. (2023). Texture Atlas Compression Based on Repeated Content Removal. 1–11. 1 indexed citations

14.

Pan, Zherong, et al.. (2023). Joint UV Optimization and Texture Baking. ACM Transactions on Graphics. 43(1). 1–20. 5 indexed citations

15.

Pan, Zherong, et al.. (2023). Sag-Free Initialization for Strand-Based Hybrid Hair Simulation. ACM Transactions on Graphics. 42(4). 1–14. 9 indexed citations

16.

Li, Wei, et al.. (2023). High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows. ACM Transactions on Graphics. 42(6). 1–13. 5 indexed citations

17.

Wu, Kui, Xu He, Zherong Pan, & Xifeng Gao. (2022). Occluder Generation for Buildings in Digital Games. Computer Graphics Forum. 41(7). 205–214. 6 indexed citations

18.

Pan, Zherong, et al.. (2022). Environment Warped Gait Trajectory Optimization for Complex Terrains. IEEE Robotics and Automation Letters. 7(4). 12403–12410.

19.

Kaspar, Alexandre, Kui Wu, Yiyue Luo, Liane Makatura, & Wojciech Matusik. (2021). Knit sketching. ACM Transactions on Graphics. 40(4). 1–15. 21 indexed citations

20.

Zhao, Qi, et al.. (2007). Investigation of geographical distribution and evaluation of Jatropha curcas in Yunnan province. Xi'nan nongye xuebao. 20(6). 1283–1286. 9 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.

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