Tao Du

1.2k total citations · 1 hit paper
21 papers, 652 citations indexed

About

Tao Du is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Tao Du has authored 21 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 8 papers in Artificial Intelligence and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Tao Du's work include Computer Graphics and Visualization Techniques (6 papers), Lattice Boltzmann Simulation Studies (5 papers) and 3D Shape Modeling and Analysis (5 papers). Tao Du is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), Lattice Boltzmann Simulation Studies (5 papers) and 3D Shape Modeling and Analysis (5 papers). Tao Du collaborates with scholars based in United States, China and United Kingdom. Tao Du's co-authors include Wojciech Matusik, Daniela Rus, Leonidas Guibas, Fernando de Goes, Justin Solomon, Marco Cuturi, Andy Nguyễn, Adrian Butscher, Gabriel Peyré and Andrew Spielberg and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters and Robotica.

In The Last Decade

Tao Du

19 papers receiving 632 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.

Convolutional wasserstein distances

2015 229 citations Justin Solomon, Fernando de Goes et al. ACM Transactions on Graphics profile →

Peers

Tao Du

CM

CVPR

CGCD

BE

ME

Kenjiro T. Miura Japan

Marco Paluszny Venezuela

Gill Barequet Israel

Hartmut Prautzsch Germany

Ronald Goldman United States

Fujio Yamaguchi Japan

Paul E. Plassmann United States

John E. Lavery United States

Wolfgang Boehm Germany

Michael E. Mortenson

Kenjiro T. Miura Japan

Tao Du

493 ×2.1

CM

352 ×2.0

CVPR

307 ×2.2

CGCD

52 ×0.5

BE

96 ×1.1

ME

Citations per year, relative to Tao Du Tao Du (= 1×) peers Kenjiro T. Miura

Countries citing papers authored by Tao Du

Since Specialization

Citations

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

Fields of papers citing papers by Tao Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Du

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Du. A scholar is included among the top collaborators of Tao Du 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 Tao Du. Tao Du 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.

Chen, L B, et al.. (2024). An Impulse Ghost Fluid Method for Simulating Two-Phase Flows. ACM Transactions on Graphics. 43(6). 1–12. 1 indexed citations

2.

Qu, Yanchun, et al.. (2024). Computational Biomimetics of Winged Seeds. ACM Transactions on Graphics. 43(6). 1–13.

3.

Du, Tao. (2023). Deep Learning for Physics Simulation. 1–25.

4.

Zhu, Bo, et al.. (2023). Second-Order Finite Elements for Deformable Surfaces. 1–10. 6 indexed citations

5.

Zhao, Allan, Tao Du, Jie Xu, et al.. (2022). Automatic Co-Design of Aerial Robots Using a Graph Grammar. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11260–11267. 6 indexed citations

6.

Li, Yifei, Tao Du, Kui Wu, Jie Xu, & Wojciech Matusik. (2022). DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact. ACM Transactions on Graphics. 42(1). 1–20. 47 indexed citations

7.

Li, Yifei, Tao Du, Sangeetha Srinivasan, et al.. (2022). Fluidic Topology Optimization with an Anisotropic Mixture Model. ACM Transactions on Graphics. 41(6). 1–14. 6 indexed citations

8.

Willis, Karl D. D., Yewen Pu, Jieliang Luo, et al.. (2021). Fusion 360 gallery. ACM Transactions on Graphics. 40(4). 1–24. 81 indexed citations

9.

Willis, Karl D. D., Yewen Pu, Jieliang Luo, et al.. (2021). Fusion 360 gallery. ACM Transactions on Graphics. 40(4). 1–24. 2 indexed citations

10.

Du, Tao, John Z. Zhang, Kui Wu, et al.. (2021). DiffAqua. ACM Transactions on Graphics. 40(4). 1–14. 37 indexed citations

11.

Du, Tao, et al.. (2021). Underwater Soft Robot Modeling and Control With Differentiable Simulation. IEEE Robotics and Automation Letters. 6(3). 4994–5001. 60 indexed citations

12.

Ding, Mingyu, Zhenfang Chen, Tao Du, et al.. (2021). Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. arXiv (Cornell University). 34. 4 indexed citations

13.

Spielberg, Andrew, et al.. (2021). Advanced soft robot modeling in ChainQueen. Robotica. 41(1). 74–104. 17 indexed citations

14.

Huang, Zhiao, Yuanming Hu, Tao Du, et al.. (2021). PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. arXiv (Cornell University). 7 indexed citations

15.

Du, Tao, John Z. Zhang, Kui Wu, et al.. (2021). DiffAqua. ACM Transactions on Graphics. 40(4). 1–14. 6 indexed citations

16.

Du, Tao, Kui Wu, Andrew Spielberg, et al.. (2020). Functional optimization of fluidic devices with differentiable stokes flow. ACM Transactions on Graphics. 39(6). 1–15. 16 indexed citations

17.

Spielberg, Andrew, Allan Zhao, Yuanming Hu, et al.. (2019). Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations. DSpace@MIT (Massachusetts Institute of Technology). 32. 8282–8292. 23 indexed citations

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.

Du, Tao, Jeevana Priya Inala, Yewen Pu, et al.. (2018). InverseCSG. ACM Transactions on Graphics. 37(6). 1–16. 77 indexed citations

20.

Solomon, Justin, Fernando de Goes, Gabriel Peyré, et al.. (2015). Convolutional wasserstein distances. ACM Transactions on Graphics. 34(4). 1–11. 229 indexed citations breakdown →

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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