Qing Shuai
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Xiaowei ZhouHujun BaoSida PengQianqian WangYuanqing ZhangYinghao XuJunting DongShangzhan Zhang
- Topics
- 3D Shape Modeling and Analysis (12 papers)Human Pose and Action Recognition (12 papers)Advanced Vision and Imaging (11 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on GraphicsInternational Journal of Computer Vision
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing Shuai
23 papers receiving 839 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 734
- Computational Mechanics 515
- Computer Graphics and Computer-Aided Design 367
- Control and Systems Engineering 103
- Biomedical Engineering 54
Countries citing papers authored by Qing Shuai
This map shows the geographic impact of Qing Shuai'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 Qing Shuai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Shuai more than expected).
Fields of papers citing papers by Qing Shuai
This network shows the impact of papers produced by Qing Shuai. 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 Qing Shuai. The network helps show where Qing Shuai may publish in the future.
Co-authorship network of co-authors of Qing Shuai
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Shuai. A scholar is included among the top collaborators of Qing Shuai 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 Qing Shuai. Qing Shuai 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 | 5 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 49 | |
| 12 | 34 | |
| 13 | Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humansbreakdown → | 364 |
| 14 | Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiesbreakdown → | 224 |
| 15 | Animatable Neural Radiance Fields for Human Body Modeling. | 22 |
| 16 | 5 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 3 |
About Qing Shuai
Qing Shuai is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 27 papers that have together received 867 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (12 papers), Human Pose and Action Recognition (12 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (367 citations), Computer Vision and Pattern Recognition (734 citations) and Computational Mechanics (515 citations). Qing Shuai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaowei Zhou, Hujun Bao, Sida Peng, Qianqian Wang, Yuanqing Zhang, Yinghao Xu, Junting Dong, Shangzhan Zhang, Qi Fang and Yunzhi Yan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.
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.