Ruixue Liu
- Mechanics of Materials top 10%
- Statistics and Probability top 5%
- Civil and Structural Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Topics
- Generative Adversarial Networks and Image Synthesis (5 papers)Rock Mechanics and Modeling (5 papers)Computer Graphics and Visualization Techniques (4 papers)
- Journals
- Journal of the American Statistical AssociationExpert Systems with ApplicationsJournal of Sound and Vibration
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ruixue Liu
21 papers receiving 419 citations
Peers
Comparison fields: 5 of 86
- Mechanics of Materials 145
- Statistics and Probability 99
- Civil and Structural Engineering 85
- Statistics, Probability and Uncertainty 79
- Artificial Intelligence 72
Countries citing papers authored by Ruixue Liu
This map shows the geographic impact of Ruixue 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 Ruixue Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruixue Liu more than expected).
Fields of papers citing papers by Ruixue Liu
This network shows the impact of papers produced by Ruixue 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 Ruixue Liu. The network helps show where Ruixue Liu may publish in the future.
Co-authorship network of co-authors of Ruixue Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ruixue Liu. A scholar is included among the top collaborators of Ruixue 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 Ruixue Liu. Ruixue 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 32 | |
| 14 | 87 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 19 | |
| 18 | 85 | |
| 19 | 125 | |
| 20 | Estimating mean dimensionality | 10 |
About Ruixue Liu
Ruixue Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Management, Monitoring, Policy and Law, having authored 24 papers that have together received 435 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Rock Mechanics and Modeling (5 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Statistics and Probability (99 citations), Statistics, Probability and Uncertainty (79 citations) and Numerical Analysis (54 citations). Ruixue Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ingram Olkin, Art B. Owen, Lianying Zhang, Xianbiao Mao, Dan Ma, Xiaoqian Guo, Yan Li, Xiaodong He, Meng Chen and Kun Qian. Their work appears in journals such as Journal of the American Statistical Association, Expert Systems with Applications and Journal of Sound and Vibration.
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.