Tingwu Wang

1.1k total citations
6 papers, 328 citations indexed

About

Tingwu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tingwu Wang has authored 6 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Tingwu Wang's work include Multimodal Machine Learning Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Human Pose and Action Recognition (2 papers). Tingwu Wang is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Human Pose and Action Recognition (2 papers). Tingwu Wang collaborates with scholars based in Canada, Slovenia and United Kingdom. Tingwu Wang's co-authors include Sanja Fidler, Jiaman Li, Xavier Puig, Marko Boben, Antonio Torralba, Jimmy Ba, Renjie Liao, Florian Shkurti, Umar Iqbal and Yunrong Guo and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Tingwu Wang

6 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingwu Wang Canada 4 200 150 105 28 24 6 328
Rongjie Huang China 11 123 0.6× 217 1.4× 51 0.5× 28 1.0× 13 0.5× 40 432
Rika Antonova United States 9 110 0.6× 121 0.8× 119 1.1× 43 1.5× 15 0.6× 14 297
Yunrong Guo Canada 8 186 0.9× 71 0.5× 173 1.6× 67 2.4× 17 0.7× 10 334
Linxi Fan United States 7 124 0.6× 103 0.7× 73 0.7× 16 0.6× 8 0.3× 12 239
Michael C. Welle Sweden 10 67 0.3× 138 0.9× 95 0.9× 44 1.6× 23 1.0× 30 325
Manuel Wüthrich Germany 9 120 0.6× 101 0.7× 149 1.4× 46 1.6× 17 0.7× 17 269
Nate Koenig United States 4 148 0.7× 44 0.3× 92 0.9× 23 0.8× 12 0.5× 6 273
Jasmine Hsu United States 4 216 1.1× 209 1.4× 122 1.2× 27 1.0× 14 0.6× 5 379
Qinkun Xiao China 10 184 0.9× 83 0.6× 64 0.6× 62 2.2× 103 4.3× 40 341
Rogerio Bonatti United States 6 149 0.7× 147 1.0× 89 0.8× 17 0.6× 11 0.5× 12 327

Countries citing papers authored by Tingwu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingwu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingwu Wang

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

All Works

6 of 6 papers shown
1.
Guo, Yunrong, et al.. (2023). Synthesizing Physical Character-Scene Interactions. 1–9. 30 indexed citations
2.
Wang, Tingwu, et al.. (2021). Physics-based Human Motion Estimation and Synthesis from Videos. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11512–11521. 52 indexed citations
3.
Wang, Tingwu & Jimmy Ba. (2020). Exploring Model-based Planning with Policy Networks. arXiv (Cornell University). 3 indexed citations
4.
Wang, Tingwu, Yuhao Zhou, Sanja Fidler, & Jimmy Ba. (2019). Neural Graph Evolution: Towards Efficient Automatic Robot Design. International Conference on Learning Representations. 2 indexed citations
5.
Puig, Xavier, Marko Boben, Jiaman Li, et al.. (2018). VirtualHome: Simulating Household Activities Via Programs. DSpace@MIT (Massachusetts Institute of Technology). 8494–8502. 175 indexed citations
6.
Wang, Tingwu, Renjie Liao, Jimmy Ba, & Sanja Fidler. (2018). NerveNet: Learning Structured Policy with Graph Neural Networks. International Conference on Learning Representations. 66 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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