Thang To
Impact in
-
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Image and Object Detection Techniques
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
-
- Robot Manipulation and Learning 2
- Human Motion and Animation 1
-
- Human Pose and Action Recognition 1
- Advanced Neural Network Applications 1
- Handwritten Text Recognition Techniques 1
- Co-authors
- Stan Birchfield (3 shared papers)Jonathan Tremblay (2 shared papers)Balakumar Sundaralingam (1 shared paper)Xiang Yu (1 shared paper)Dieter Fox (1 shared paper)Shariq Iqbal (1 shared paper)Jonathan Tremblay (1 shared paper)Stephen Tyree (1 shared paper)
- Journals
- 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)arXiv (Cornell University) (2 papers)
In The Last Decade
Thang To
2 papers receiving 126 citations
Peers
Comparison fields: 5 of 24
- Computer Vision and Pattern Recognition 89
- Control and Systems Engineering 94
- Human-Computer Interaction 19
- Aerospace Engineering 64
- Geology 12
Countries citing papers authored by Thang To
This map shows the geographic impact of Thang To'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 Thang To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thang To more than expected).
Fields of papers citing papers by Thang To
This network shows the impact of papers produced by Thang To. 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 Thang To. The network helps show where Thang To may publish in the future.
Co-authors
The 10 scholars most cited alongside Thang To, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 133 | |
| 2 | Directional Semantic Grasping of Real-World Objects: From Simulation to Reality. | 2019 | 3 |
| 3 | 2022 | 0 |
About Thang To
Thang To is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 136 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (2 papers), Natural Language Processing Techniques (1 paper), Human Pose and Action Recognition (1 paper), Advanced Neural Network Applications (1 paper), Handwritten Text Recognition Techniques (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Control and Systems Engineering (94 citations), Human-Computer Interaction (19 citations), Aerospace Engineering (64 citations) and Geology (12 citations). Frequent co-authors include Stan Birchfield, Jonathan Tremblay, Balakumar Sundaralingam, Xiang Yu, Dieter Fox, Shariq Iqbal, Jonathan Tremblay, Stephen Tyree, Chenglong Jia and Jeffrey L. Smith. Their work appears in journals such as 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and arXiv (Cornell University).
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.