Linning Xu
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Environmental Engineering
- Aerospace Engineering
- Topics
- Advanced Vision and Imaging (7 papers)Computer Graphics and Visualization Techniques (7 papers)3D Shape Modeling and Analysis (5 papers)
- Journals
- Journal of Clinical OncologyIEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on Graphics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Linning Xu
16 papers receiving 297 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 194
- Computer Graphics and Computer-Aided Design 82
- Computational Mechanics 59
- Environmental Engineering 40
- Aerospace Engineering 34
Countries citing papers authored by Linning Xu
This map shows the geographic impact of Linning 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 Linning Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linning Xu more than expected).
Fields of papers citing papers by Linning Xu
This network shows the impact of papers produced by Linning 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 Linning Xu. The network helps show where Linning Xu may publish in the future.
Co-authorship network of co-authors of Linning Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Linning Xu. A scholar is included among the top collaborators of Linning 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 Linning Xu. Linning 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 | 0 | |
| 2 | Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussiansbreakdown → | 21 |
| 3 | 1 | |
| 4 | Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingbreakdown → | 88 |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 40 | |
| 8 | 9 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 8 | |
| 16 | 69 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 2 |
About Linning Xu
Linning Xu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 19 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (82 citations), Computer Vision and Pattern Recognition (194 citations) and Geology (34 citations). Linning Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dahua Lin, Yuanbo Xiangli, Bo Dai, Anyi Rao, Limin Wang, Tao Lü, Guodong Xu, Qingqiu Huang, Yu Xiong and Bolei Zhou. Their work appears in journals such as Journal of Clinical Oncology, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.
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.