Yu-Shen Liu
- Computational Mechanics top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Geology top 0.2%
- Computer Graphics and Computer-Aided Design top 0.2%
- Environmental Engineering top 2%
- Topics
- 3D Shape Modeling and Analysis (58 papers)Computer Graphics and Visualization Techniques (35 papers)3D Surveying and Cultural Heritage (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePhysical Review B
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Yu-Shen Liu
96 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computational Mechanics 1.8k
- Computer Vision and Pattern Recognition 1.2k
- Geology 1.1k
- Computer Graphics and Computer-Aided Design 914
- Environmental Engineering 365
Countries citing papers authored by Yu-Shen Liu
This map shows the geographic impact of Yu-Shen Liu'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-Shen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Shen Liu more than expected).
Fields of papers citing papers by Yu-Shen Liu
This network shows the impact of papers produced by Yu-Shen Liu. 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-Shen Liu. The network helps show where Yu-Shen Liu may publish in the future.
Co-authorship network of co-authors of Yu-Shen Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Shen Liu. A scholar is included among the top collaborators of Yu-Shen Liu 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-Shen Liu. Yu-Shen Liu 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 | 9 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 48 | |
| 17 | Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface | 7 |
| 18 | 129 | |
| 19 | Special issue: Recent advances on Building Information Modeling (BIM) | 1 |
| 20 | 6 |
About Yu-Shen Liu
Yu-Shen Liu is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computational Mechanics, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (58 papers), Computer Graphics and Visualization Techniques (35 papers) and 3D Surveying and Cultural Heritage (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (914 citations), Geology (1.1k citations) and Computational Mechanics (1.8k citations). Yu-Shen Liu has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Zhizhong Han, Matthias Zwicker, Xin Wen, Xinhai Liu, Ge Gao, Ming Gu, Pengfei Wan, Yan‐Pei Cao, Wen Zheng and Tianyang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Physical Review B.
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.