Xumin Yu
Impact in
- Geology top 1%
- 3D Surveying and Cultural Heritage
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- Computer Graphics and Visualization Techniques
Papers in
-
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
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- 3D Shape Modeling and Analysis 5
- Co-authors
- Jie Zhou (10 shared papers)Jiwen Lu (10 shared papers)Yongming Rao (8 shared papers)Ziyi Wang (5 shared papers)Tiejun Huang (1 shared paper)Lulu Tang (1 shared paper)Zuyan Liu (1 shared paper)Wenliang Zhao (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Scientific Reports (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Experimental Techniques (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xumin Yu
12 papers receiving 931 citations
Xumin Yu's Hit Papers
Peers
Comparison fields: 5 of 73
- Geology 361
- Computer Graphics and Computer-Aided Design 184
- Computational Mechanics 516
- Computer Vision and Pattern Recognition 438
- Environmental Engineering 212
Countries citing papers authored by Xumin Yu
This map shows the geographic impact of Xumin 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 Xumin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xumin Yu more than expected).
Fields of papers citing papers by Xumin Yu
This network shows the impact of papers produced by Xumin 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 Xumin Yu. The network helps show where Xumin Yu may publish in the future.
Co-authors
The 18 scholars most cited alongside Xumin 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 | Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling Hit paper breakdown → | 2022 | 385 |
| 2 | PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers Hit paper breakdown → | 2021 | 293 |
| 3 | 2021 | 69 | |
| 4 | 2022 | 62 | |
| 5 | 2023 | 48 | |
| 6 | 2020 | 34 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 3 |
About Xumin Yu
Xumin Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Geology, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 945 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), 3D Surveying and Cultural Heritage (5 papers), Human Pose and Action Recognition (4 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Neural Network Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Geology (361 citations), Computer Graphics and Computer-Aided Design (184 citations), Computational Mechanics (516 citations), Computer Vision and Pattern Recognition (438 citations) and Environmental Engineering (212 citations). Xumin Yu has collaborated with scholars based in China and United States. Frequent co-authors include Jie Zhou, Jiwen Lu, Yongming Rao, Ziyi Wang, Tiejun Huang, Lulu Tang, Zuyan Liu, Wenliang Zhao, Jinglin Xu and Guangyi Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications and Experimental Techniques.
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.