Guojun Liao
- Computational Mechanics top 5%
- Biomedical Engineering
- Condensed Matter Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Sabine H. L. KlappDale AndersonPavel BochevShanhong JiFeng LiuBo‐nan JiangKehong YuanYu Wu
- Topics
- Advanced Numerical Methods in Computational Mathematics (15 papers)Medical Image Segmentation Techniques (13 papers)Computational Fluid Dynamics and Aerodynamics (11 papers)
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaJournal of Computational Physics
- Partner nations
- United StatesChinaGermany
In The Last Decade
Guojun Liao
55 papers receiving 559 citations
Peers
Comparison fields: 5 of 80
- Computational Mechanics 247
- Biomedical Engineering 106
- Condensed Matter Physics 98
- Computer Vision and Pattern Recognition 91
- Aerospace Engineering 78
Countries citing papers authored by Guojun Liao
This map shows the geographic impact of Guojun Liao'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 Guojun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guojun Liao more than expected).
Fields of papers citing papers by Guojun Liao
This network shows the impact of papers produced by Guojun Liao. 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 Guojun Liao. The network helps show where Guojun Liao may publish in the future.
Co-authorship network of co-authors of Guojun Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Guojun Liao. A scholar is included among the top collaborators of Guojun Liao 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 Guojun Liao. Guojun Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 17 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 26 | |
| 16 | 32 | |
| 17 | A Deformation Method for Moving Grid Generation. | 2 |
| 18 | 42 | |
| 19 | 14 | |
| 20 | 18 |
About Guojun Liao
Guojun Liao is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 627 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (15 papers), Medical Image Segmentation Techniques (13 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (55 citations), Computational Mechanics (247 citations) and Numerical Analysis (53 citations). Guojun Liao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sabine H. L. Klapp, Dale Anderson, Pavel Bochev, Shanhong Ji, Feng Liu, Bo‐nan Jiang, Kehong Yuan, Yu Wu, Jianzhong Su and Jinggang Qin. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Computational Physics.
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.