Mulin Yu
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- 3D Shape Modeling and Analysis 5
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- Computer Graphics and Visualization Techniques 4
- Co-authors
- Linning Xu (5 shared papers)Bo Dai (3 shared papers)Yuanbo Xiangli (2 shared papers)Limin Wang (1 shared paper)Dahua Lin (3 shared papers)Tao Lü (1 shared paper)Florent Lafarge (4 shared papers)Tao Lu (3 shared papers)
- Journals
- ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)ACM Transactions on Graphics (1 paper)Computer Aided Geometric Design (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mulin Yu
7 papers receiving 165 citations
Mulin Yu's Hit Papers
Peers
Comparison fields: 5 of 28
- Computer Graphics and Computer-Aided Design 65
- Geology 33
- Computer Vision and Pattern Recognition 81
- Computational Mechanics 53
- Environmental Engineering 22
Countries citing papers authored by Mulin Yu
This map shows the geographic impact of Mulin Yu'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 Mulin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mulin Yu more than expected).
Fields of papers citing papers by Mulin Yu
This network shows the impact of papers produced by Mulin Yu. 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 Mulin Yu. The network helps show where Mulin Yu may publish in the future.
Co-authors
The 23 scholars most cited alongside Mulin Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering Hit paper breakdown → | 2024 | 109 |
| 2 | Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians Hit paper breakdown → | 2025 | 31 |
| 3 | 2022 | 18 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 4 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 |
About Mulin Yu
Mulin Yu is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Geology and Environmental Engineering, having authored 10 papers that have together received 172 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (4 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Vision and Imaging (2 papers), Remote Sensing and LiDAR Applications (2 papers), Satellite Image Processing and Photogrammetry (1 paper), Optical measurement and interference techniques (1 paper) and 3D Modeling in Geospatial Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (65 citations), Geology (33 citations), Computer Vision and Pattern Recognition (81 citations), Computational Mechanics (53 citations) and Environmental Engineering (22 citations). Mulin Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Linning Xu, Bo Dai, Yuanbo Xiangli, Limin Wang, Dahua Lin, Tao Lü, Florent Lafarge, Tao Lu, Zhangkai Ni and Pierre Alliez. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, ACM Transactions on Graphics, Computer Aided Geometric Design, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.