Zhixin Shu
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Aerospace Engineering
- Geology top 10%
- Co-authors
- Kalyan SunkavalliDimitris SamarasEli ShechtmanZexiang XuSai BiSunil HadapUlrich NeumannQiangeng Xu
- Topics
- Advanced Vision and Imaging (11 papers)Computer Graphics and Visualization Techniques (9 papers)Generative Adversarial Networks and Image Synthesis (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on GraphicsBiochemical Society Transactions2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Zhixin Shu
23 papers receiving 920 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 824
- Computer Graphics and Computer-Aided Design 335
- Computational Mechanics 282
- Aerospace Engineering 62
- Geology 59
Countries citing papers authored by Zhixin Shu
This map shows the geographic impact of Zhixin Shu'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 Zhixin Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhixin Shu more than expected).
Fields of papers citing papers by Zhixin Shu
This network shows the impact of papers produced by Zhixin Shu. 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 Zhixin Shu. The network helps show where Zhixin Shu may publish in the future.
Co-authorship network of co-authors of Zhixin Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhixin Shu. A scholar is included among the top collaborators of Zhixin Shu 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 Zhixin Shu. Zhixin Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 71 | |
| 11 | 7 | |
| 12 | Point-NeRF: Point-based Neural Radiance Fieldsbreakdown → | 322 |
| 13 | 19 | |
| 14 | 29 | |
| 15 | 65 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 167 | |
| 19 | 33 | |
| 20 | 5 |
About Zhixin Shu
Zhixin Shu 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 963 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (9 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (335 citations), Computer Vision and Pattern Recognition (824 citations) and Computational Mechanics (282 citations). Zhixin Shu has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Kalyan Sunkavalli, Dimitris Samaras, Eli Shechtman, Zexiang Xu, Sai Bi, Sunil Hadap, Ulrich Neumann, Qiangeng Xu, Julien Philip and Ersin Yumer. Their work appears in journals such as ACM Transactions on Graphics, Biochemical Society Transactions and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.