Tai-Peng Tian
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Control and Systems Engineering
- Biomedical Engineering
- Co-authors
- Stan SclaroffRui LiMing–Hsuan YangHao JiangJonathan AlonMargrit BetkeTing YuVassilis Athitsos
- Topics
- Human Pose and Action Recognition (9 papers)Human Motion and Animation (3 papers)Graph Theory and Algorithms (2 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionProcedia Manufacturing
- Partner nations
- United States
In The Last Decade
Tai-Peng Tian
13 papers receiving 261 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 218
- Artificial Intelligence 72
- Human-Computer Interaction 61
- Control and Systems Engineering 57
- Biomedical Engineering 46
Countries citing papers authored by Tai-Peng Tian
This map shows the geographic impact of Tai-Peng Tian'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 Tai-Peng Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai-Peng Tian more than expected).
Fields of papers citing papers by Tai-Peng Tian
This network shows the impact of papers produced by Tai-Peng Tian. 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 Tai-Peng Tian. The network helps show where Tai-Peng Tian may publish in the future.
Co-authorship network of co-authors of Tai-Peng Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Peng Tian. A scholar is included among the top collaborators of Tai-Peng Tian 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 Tai-Peng Tian. Tai-Peng Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 53 | |
| 9 | 41 | |
| 10 | 45 | |
| 11 | 54 | |
| 12 | Tracking Human Body Pose on a Learned Smooth Space | 12 |
| 13 | 7 | |
| 14 | 15 |
About Tai-Peng Tian
Tai-Peng Tian is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 14 papers that have together received 269 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Human Motion and Animation (3 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Computer Vision and Pattern Recognition (218 citations) and Control and Systems Engineering (57 citations). Tai-Peng Tian has collaborated with scholars based in United States. Frequent co-authors include Stan Sclaroff, Rui Li, Rui Li, Ming–Hsuan Yang, Hao Jiang, Jonathan Alon, Margrit Betke, Ting Yu, Vassilis Athitsos and Rui Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Procedia Manufacturing.
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.