Zaiyang Yu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Cognitive Neuroscience
- Media Technology top 10%
- Topics
- 3D Shape Modeling and Analysis (6 papers)Human Pose and Action Recognition (4 papers)Advanced Neural Network Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Pattern RecognitionInternational Journal of Biological MacromoleculesIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Zaiyang Yu
18 papers receiving 303 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 66
- Biomedical Engineering 53
- Cognitive Neuroscience 26
- Media Technology 26
Countries citing papers authored by Zaiyang Yu
This map shows the geographic impact of Zaiyang 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 Zaiyang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaiyang Yu more than expected).
Fields of papers citing papers by Zaiyang Yu
This network shows the impact of papers produced by Zaiyang 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 Zaiyang Yu. The network helps show where Zaiyang Yu may publish in the future.
Co-authorship network of co-authors of Zaiyang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Zaiyang Yu. A scholar is included among the top collaborators of Zaiyang Yu 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 Zaiyang Yu. Zaiyang Yu 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 | Cross-modal knowledge transfer for 3D point clouds via graph offset predictionbreakdown → | 26 |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 58 | |
| 14 | 93 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 29 | |
| 20 | Short-term Traffic Flow Forecast Based on the Gaussian Kernel | 1 |
About Zaiyang Yu
Zaiyang Yu is a scholar working on Geology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 20 papers that have together received 313 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Media Technology (26 citations) and Computer Graphics and Computer-Aided Design (10 citations). Zaiyang Yu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xin Ning, Weijun Li, Lusi Li, Yuebao Wang, Prayag Tiwari, Xiao Bai, Changshuo Wang, Jinlong Xie, Sheng Li and Dongqing Wang. Their work appears in journals such as Pattern Recognition, International Journal of Biological Macromolecules and IEEE Transactions on Circuits and Systems for Video 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.