Siyu Tang
- Computer Vision and Pattern Recognition top 0.2%
- Computational Mechanics top 1%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Co-authors
- Bernt SchieleMykhaylo AndrilukaBjoern AndresMichael J. BlackEldar InsafutdinovLeonid PishchulinPeter GehlerQianli Ma
- Topics
- Human Pose and Action Recognition (38 papers)3D Shape Modeling and Analysis (28 papers)Human Motion and Animation (16 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Heat and Mass TransferACM Transactions on Graphics
- Partner nations
- GermanyChinaSwitzerland
In The Last Decade
Siyu Tang
77 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 2.6k
- Computational Mechanics 773
- Artificial Intelligence 530
- Control and Systems Engineering 455
- Computer Graphics and Computer-Aided Design 309
Countries citing papers authored by Siyu Tang
This map shows the geographic impact of Siyu Tang'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 Siyu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyu Tang more than expected).
Fields of papers citing papers by Siyu Tang
This network shows the impact of papers produced by Siyu Tang. 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 Siyu Tang. The network helps show where Siyu Tang may publish in the future.
Co-authorship network of co-authors of Siyu Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Siyu Tang. A scholar is included among the top collaborators of Siyu Tang 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 Siyu Tang. Siyu Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 41 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 49 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 77 | |
| 15 | Generating Person-Scene Interactions in 3D Scenes. | 2 |
| 16 | Multiple People Tracking by Lifted Multicut and Person Re-identificationbreakdown → | 358 |
| 17 | 151 | |
| 18 | Joint Graph Decomposition and Node Labeling by Local Search. | 5 |
| 19 | Articulated Multi-person Tracking in the Wild. | 12 |
| 20 | 40 |
About Siyu Tang
Siyu Tang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (38 papers), 3D Shape Modeling and Analysis (28 papers) and Human Motion and Animation (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Computer Graphics and Computer-Aided Design (309 citations) and Human-Computer Interaction (288 citations). Siyu Tang has collaborated with scholars based in Germany, China and Switzerland. Frequent co-authors include Bernt Schiele, Mykhaylo Andriluka, Bjoern Andres, Michael J. Black, Eldar Insafutdinov, Leonid Pishchulin, Peter Gehler, Qianli Ma, Jinlong Yang and Yan Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Heat and Mass Transfer and ACM Transactions on Graphics.
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.