Tao Du
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Biomedical Engineering
- Mechanical Engineering
- Co-authors
- Wojciech MatusikDaniela RusLeonidas GuibasFernando de GoesJustin SolomonMarco CuturiAndy NguyễnAdrian Butscher
- Topics
- Computer Graphics and Visualization Techniques (6 papers)Lattice Boltzmann Simulation Studies (5 papers)3D Shape Modeling and Analysis (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Tao Du
19 papers receiving 632 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computational Mechanics 236
- Computer Vision and Pattern Recognition 175
- Computer Graphics and Computer-Aided Design 138
- Biomedical Engineering 101
- Mechanical Engineering 88
Countries citing papers authored by Tao Du
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 47 | |
| 7 | 6 | |
| 8 | 81 | |
| 9 | 2 | |
| 10 | 37 | |
| 11 | 60 | |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations | 23 |
| 18 | 26 | |
| 19 | 77 | |
| 20 | Convolutional wasserstein distancesbreakdown → | 229 |
About Tao Du
Tao Du is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 652 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Lattice Boltzmann Simulation Studies (5 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (138 citations), Computational Mechanics (236 citations) and Computer Vision and Pattern Recognition (175 citations). Tao Du has collaborated with scholars based in United States, China and United Kingdom. Frequent 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. Their work appears in journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters and Robotica.
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.