Xuejun Liu
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Topics
- Model Reduction and Neural Networks (7 papers)Gene expression and cancer classification (6 papers)Fluid Dynamics and Turbulent Flows (5 papers)
- Cited by
- Automotive EngineeringRenewable Energy, Sustainability and the EnvironmentStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xuejun Liu
36 papers receiving 880 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Electrical and Electronic Engineering 421
- Automotive Engineering 204
- Renewable Energy, Sustainability and the Environment 180
- Computational Mechanics 167
- Statistical and Nonlinear Physics 117
Countries citing papers authored by Xuejun Liu
This map shows the geographic impact of Xuejun 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 Xuejun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuejun Liu more than expected).
Fields of papers citing papers by Xuejun Liu
This network shows the impact of papers produced by Xuejun 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 Xuejun Liu. The network helps show where Xuejun Liu may publish in the future.
Co-authorship network of co-authors of Xuejun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xuejun Liu. A scholar is included among the top collaborators of Xuejun 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 Xuejun Liu. Xuejun 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 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | Cone-beam computed tomography analysis of the canal transportation after mechanical preparation with two different rotary nickel-titanium systems | 1 |
| 14 | Research on Measuring the Speed of Motor Based on Increamental Optical-electrical Encoder | 2 |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 61 | |
| 18 | 88 | |
| 19 | 15 | |
| 20 | Control Period-doubling Bifurcation and Chaos in a Discrete Nonlinear System by Translation | 1 |
About Xuejun Liu
Xuejun Liu is a scholar working on Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics and Computational Mechanics, having authored 40 papers that have together received 899 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (7 papers), Gene expression and cancer classification (6 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Automotive Engineering (204 citations), Renewable Energy, Sustainability and the Environment (180 citations) and Statistical and Nonlinear Physics (117 citations). Xuejun Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Luiz A. C. Lopes, Haizhou Wu, Songcan Chen, Magnus Rattray, Yijin Liu, Rong Xu, Chenxi Wei, Kejie Zhao, Stefano Ermon and Enyuan Hu. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and BMC Bioinformatics.
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.