Nan Jiang
- Computational Mechanics top 2%
- Statistics, Probability and Uncertainty top 1%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Atmospheric Science
- Co-authors
- William LaytonMax GunzburgerYuhlong LioTzong‐Ru TsaiZhu WangTerrence W. SimonXiaoming HeSongül Kaya
- Topics
- Fluid Dynamics and Turbulent Flows (36 papers)Computational Fluid Dynamics and Aerodynamics (25 papers)Probabilistic and Robust Engineering Design (19 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in EngineeringJournal of the Operational Research Society
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Nan Jiang
68 papers receiving 735 citations
Peers
Comparison fields: 5 of 62
- Computational Mechanics 613
- Statistics, Probability and Uncertainty 270
- Statistical and Nonlinear Physics 119
- Computational Theory and Mathematics 115
- Atmospheric Science 76
Countries citing papers authored by Nan Jiang
This map shows the geographic impact of Nan Jiang'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 Nan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Jiang more than expected).
Fields of papers citing papers by Nan Jiang
This network shows the impact of papers produced by Nan Jiang. 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 Nan Jiang. The network helps show where Nan Jiang may publish in the future.
Co-authorship network of co-authors of Nan Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Nan Jiang. A scholar is included among the top collaborators of Nan Jiang 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 Nan Jiang. Nan Jiang 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 | 2 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 30 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 40 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 32 | |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 3 | |
| 16 | 20 | |
| 17 | 48 | |
| 18 | 1 | |
| 19 | Tomographic PIV experimental investigation of topological modes of modulated Reynolds stress and velocity strain rate for coherent structure | 1 |
| 20 | 1 |
About Nan Jiang
Nan Jiang is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Statistics and Probability, having authored 71 papers that have together received 812 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (36 papers), Computational Fluid Dynamics and Aerodynamics (25 papers) and Probabilistic and Robust Engineering Design (19 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (270 citations), Computational Mechanics (613 citations) and Numerical Analysis (65 citations). Nan Jiang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include William Layton, Max Gunzburger, Yuhlong Lio, Tzong‐Ru Tsai, Zhu Wang, Terrence W. Simon, Xiaoming He, Songül Kaya, Zhiping Qiu and Hoang Tran. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Journal of the Operational Research Society.
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.