Qifeng Liao
- Statistical and Nonlinear Physics top 5%
- Statistics, Probability and Uncertainty top 2%
- Computational Mechanics top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Ke LiHoward C. ElmanXiaoliang WanDayou LuBinglin WangYu LiuJinglai LiWentao Huang
- Topics
- Model Reduction and Neural Networks (18 papers)Probabilistic and Robust Engineering Design (16 papers)Advanced Numerical Methods in Computational Mathematics (8 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mathematics
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qifeng Liao
29 papers receiving 344 citations
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 197
- Statistics, Probability and Uncertainty 108
- Computational Mechanics 105
- Electrical and Electronic Engineering 96
- Control and Systems Engineering 78
Countries citing papers authored by Qifeng Liao
This map shows the geographic impact of Qifeng 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 Qifeng Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qifeng Liao more than expected).
Fields of papers citing papers by Qifeng Liao
This network shows the impact of papers produced by Qifeng 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 Qifeng Liao. The network helps show where Qifeng Liao may publish in the future.
Co-authorship network of co-authors of Qifeng Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Qifeng Liao. A scholar is included among the top collaborators of Qifeng 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 Qifeng Liao. Qifeng 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 45 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 6 |
About Qifeng Liao
Qifeng Liao is a scholar working on Computational Mathematics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 34 papers that have together received 368 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (18 papers), Probabilistic and Robust Engineering Design (16 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (197 citations), Statistics, Probability and Uncertainty (108 citations) and Computational Mathematics (7 citations). Qifeng Liao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ke Li, Howard C. Elman, Xiaoliang Wan, Dayou Lu, Binglin Wang, Yu Liu, Jinglai Li, Wentao Huang, Karen Willcox and Xinze Xi. Their work appears in journals such as Journal of Computational Physics, Optics Express and IEEE Access.
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.