Sicheng Xu
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Signal Processing top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Dermatology top 10%
- Co-authors
- Xin TongJiaolong YangYunde JiaYu DengDong ChenFang WenZhiqing LvBowen Zhang
- Topics
- Face recognition and analysis (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)3D Shape Modeling and Analysis (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mechanics
- Journals
- IEEE Transactions on Visualization and Computer GraphicsRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- ChinaUnited KingdomBangladesh
In The Last Decade
Sicheng Xu
7 papers receiving 488 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 463
- Computational Mechanics 148
- Signal Processing 70
- Computer Graphics and Computer-Aided Design 52
- Dermatology 41
Countries citing papers authored by Sicheng Xu
This map shows the geographic impact of Sicheng Xu'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 Sicheng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicheng Xu more than expected).
Fields of papers citing papers by Sicheng Xu
This network shows the impact of papers produced by Sicheng Xu. 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 Sicheng Xu. The network helps show where Sicheng Xu may publish in the future.
Co-authorship network of co-authors of Sicheng Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Sicheng Xu. A scholar is included among the top collaborators of Sicheng Xu 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 Sicheng Xu. Sicheng Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Structured 3D Latents for Scalable and Versatile 3D Generationbreakdown → | 14 |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 34 | |
| 8 | Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Setbreakdown → | 432 |
About Sicheng Xu
Sicheng Xu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 8 papers that have together received 503 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (463 citations), Computer Graphics and Computer-Aided Design (52 citations) and Computational Mechanics (148 citations). Sicheng Xu has collaborated with scholars based in China, United Kingdom and Bangladesh. Frequent co-authors include Xin Tong, Jiaolong Yang, Yunde Jia, Yu Deng, Dong Chen, Fang Wen, Dong Chen, Zhiqing Lv, Dong Chen and Bowen Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.