Weigang Yao
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Rajeev K. JaimanSimão MarquesNan WangB. WeiMeng‐Sing LiouMin XuBo WeiZhong Li
- Topics
- Model Reduction and Neural Networks (23 papers)Probabilistic and Robust Engineering Design (17 papers)Computational Fluid Dynamics and Aerodynamics (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Weigang Yao
61 papers receiving 613 citations
Peers
Comparison fields: 5 of 48
- Computational Mechanics 369
- Aerospace Engineering 231
- Mechanical Engineering 157
- Control and Systems Engineering 134
- Statistical and Nonlinear Physics 129
Countries citing papers authored by Weigang Yao
This map shows the geographic impact of Weigang Yao'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 Weigang Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weigang Yao more than expected).
Fields of papers citing papers by Weigang Yao
This network shows the impact of papers produced by Weigang Yao. 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 Weigang Yao. The network helps show where Weigang Yao may publish in the future.
Co-authorship network of co-authors of Weigang Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Weigang Yao. A scholar is included among the top collaborators of Weigang Yao 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 Weigang Yao. Weigang Yao 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 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | Nonlinear Modeling by Assembling Piecewise Linear Models | 1 |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 35 |
About Weigang Yao
Weigang Yao is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Mechanics, having authored 66 papers that have together received 632 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (23 papers), Probabilistic and Robust Engineering Design (17 papers) and Computational Fluid Dynamics and Aerodynamics (17 papers). The work is most often cited by research in Computational Mechanics (369 citations), Statistical and Nonlinear Physics (129 citations) and Aerospace Engineering (231 citations). Weigang Yao has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Rajeev K. Jaiman, Simão Marques, Nan Wang, B. Wei, Meng‐Sing Liou, Min Xu, Bo Wei, Zhong Li, Boo Cheong Khoo and Xiujun Han. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.