Yu‐Kun Lai
- Computer Vision and Pattern Recognition top 0.1%
- Computational Mechanics top 0.2%
- Computer Graphics and Computer-Aided Design top 0.1%
- Geology top 0.5%
- Aerospace Engineering top 1%
- Co-authors
- Paul L. RosinLin GaoShi‐Min HuYong‐Jin LiuJufeng YangMing‐Ming ChengRalph R. MartinShihong Xia
- Topics
- 3D Shape Modeling and Analysis (107 papers)Computer Graphics and Visualization Techniques (85 papers)Advanced Vision and Imaging (83 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Transactions on Image Processing
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yu‐Kun Lai
276 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 4.3k
- Computational Mechanics 2.3k
- Computer Graphics and Computer-Aided Design 1.7k
- Geology 810
- Aerospace Engineering 750
Countries citing papers authored by Yu‐Kun Lai
This map shows the geographic impact of Yu‐Kun Lai'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 Yu‐Kun Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Kun Lai more than expected).
Fields of papers citing papers by Yu‐Kun Lai
This network shows the impact of papers produced by Yu‐Kun Lai. 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 Yu‐Kun Lai. The network helps show where Yu‐Kun Lai may publish in the future.
Co-authorship network of co-authors of Yu‐Kun Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Kun Lai. A scholar is included among the top collaborators of Yu‐Kun Lai 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 Yu‐Kun Lai. Yu‐Kun Lai 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 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 45 | |
| 20 | 74 |
About Yu‐Kun Lai
Yu‐Kun Lai is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 293 papers that have together received 7.0k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (107 papers), Computer Graphics and Visualization Techniques (85 papers) and Advanced Vision and Imaging (83 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.7k citations), Computer Vision and Pattern Recognition (4.3k citations) and Geology (810 citations). Yu‐Kun Lai has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Paul L. Rosin, Lin Gao, Shi‐Min Hu, Yong‐Jin Liu, Jufeng Yang, Ming‐Ming Cheng, Ralph R. Martin, Shihong Xia, Chen Yang and Xianfang Sun. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.
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.