Liqian Peng
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Numerical Analysis top 10%
- Aerospace Engineering
- Co-authors
- Kamran MohseniHai‐Tao ZhangBing-Hong WangJue ZhangTao ZhouYang ZhaoAntony JamesonFreddie Witherden
- Topics
- Model Reduction and Neural Networks (11 papers)Numerical methods for differential equations (6 papers)Advanced Numerical Methods in Computational Mathematics (3 papers)
- Journals
- Journal of Computational PhysicsFuelInternational Journal for Numerical Methods in Engineering
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Liqian Peng
19 papers receiving 310 citations
Peers
Comparison fields: 5 of 68
- Statistical and Nonlinear Physics 154
- Computational Mechanics 103
- Computer Networks and Communications 65
- Numerical Analysis 56
- Aerospace Engineering 44
Countries citing papers authored by Liqian Peng
This map shows the geographic impact of Liqian Peng'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 Liqian Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqian Peng more than expected).
Fields of papers citing papers by Liqian Peng
This network shows the impact of papers produced by Liqian Peng. 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 Liqian Peng. The network helps show where Liqian Peng may publish in the future.
Co-authorship network of co-authors of Liqian Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Liqian Peng. A scholar is included among the top collaborators of Liqian Peng 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 Liqian Peng. Liqian Peng 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 | 8 | |
| 3 | 44 | |
| 4 | 76 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 34 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 0 | |
| 17 | 7 | |
| 18 | 31 | |
| 19 | 5 | |
| 20 | 27 |
About Liqian Peng
Liqian Peng is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computational Mechanics, having authored 20 papers that have together received 318 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (11 papers), Numerical methods for differential equations (6 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (154 citations), Numerical Analysis (56 citations) and Computational Mathematics (4 citations). Liqian Peng has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Kamran Mohseni, Hai‐Tao Zhang, Bing-Hong Wang, Jue Zhang, Tao Zhou, Yang Zhao, Antony Jameson, Freddie Witherden, Kevin Carlberg and Mykel J. Kochenderfer. Their work appears in journals such as Journal of Computational Physics, Fuel and International Journal for Numerical Methods in Engineering.
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.