Tiancheng Shen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Social Psychology
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Co-authors
- Zhouchen LinXia LiYibo YangHong LiuQijie ZhaoJiaya JiaTao HuShu Liu
- Topics
- Medical Image Segmentation Techniques (2 papers)Advanced Neural Network Applications (2 papers)Music and Audio Processing (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionApplied Psychology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Solid State ElectrochemistryJournal of Clinical Laboratory Analysis
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tiancheng Shen
13 papers receiving 426 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 257
- Artificial Intelligence 127
- Social Psychology 61
- Computer Graphics and Computer-Aided Design 54
- Computational Mechanics 43
Countries citing papers authored by Tiancheng Shen
This map shows the geographic impact of Tiancheng Shen'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 Tiancheng Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiancheng Shen more than expected).
Fields of papers citing papers by Tiancheng Shen
This network shows the impact of papers produced by Tiancheng Shen. 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 Tiancheng Shen. The network helps show where Tiancheng Shen may publish in the future.
Co-authorship network of co-authors of Tiancheng Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Tiancheng Shen. A scholar is included among the top collaborators of Tiancheng Shen 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 Tiancheng Shen. Tiancheng Shen 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 | 8 | |
| 3 | 19 | |
| 4 | 87 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 149 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 41 | |
| 12 | 66 | |
| 13 | 22 |
About Tiancheng Shen
Tiancheng Shen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Applied Psychology, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (54 citations), Computer Vision and Pattern Recognition (257 citations) and Applied Psychology (30 citations). Tiancheng Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhouchen Lin, Xia Li, Yibo Yang, Hong Liu, Qijie Zhao, Jiaya Jia, Tao Hu, Shu Liu, Yilun Chen and Jia Jia. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Solid State Electrochemistry and Journal of Clinical Laboratory Analysis.
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.