Xiaowei Yang
- Statistics, Probability and Uncertainty top 2%
- Civil and Structural Engineering top 10%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering
- Computational Mathematics top 5%
- Topics
- Probabilistic and Robust Engineering Design (4 papers)Numerical Methods and Algorithms (4 papers)Luminescence Properties of Advanced Materials (4 papers)
- Cited by
- Computational MathematicsStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Journals
- IEEE Transactions on Image ProcessingInorganic ChemistryInternational Journal for Numerical Methods in Engineering
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Xiaowei Yang
17 papers receiving 328 citations
Peers
Comparison fields: 5 of 63
- Statistics, Probability and Uncertainty 160
- Civil and Structural Engineering 107
- Computational Theory and Mathematics 83
- Control and Systems Engineering 50
- Computational Mathematics 40
Countries citing papers authored by Xiaowei Yang
This map shows the geographic impact of Xiaowei Yang'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 Xiaowei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Yang more than expected).
Fields of papers citing papers by Xiaowei Yang
This network shows the impact of papers produced by Xiaowei Yang. 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 Xiaowei Yang. The network helps show where Xiaowei Yang may publish in the future.
Co-authorship network of co-authors of Xiaowei Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Yang. A scholar is included among the top collaborators of Xiaowei Yang 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 Xiaowei Yang. Xiaowei Yang 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 | 9 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 86 | |
| 10 | 5 | |
| 11 | [Study on meteorological factors-based neural network model of malaria]. | 9 |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 94 | |
| 15 | 9 | |
| 16 | 63 | |
| 17 | 7 |
About Xiaowei Yang
Xiaowei Yang is a scholar working on Computational Mathematics, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 17 papers that have together received 345 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (4 papers), Numerical Methods and Algorithms (4 papers) and Luminescence Properties of Advanced Materials (4 papers). The work is most often cited by research in Computational Mathematics (40 citations), Statistics, Probability and Uncertainty (160 citations) and Computational Theory and Mathematics (83 citations). Xiaowei Yang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Suhuan Chen, Zhifeng Hao, Bingqian Chen, Lifang He, Baisheng Wu, Degao Zhong, Chen Hu, Lu Gan, Yanchun Liang and Bing Teng. Their work appears in journals such as IEEE Transactions on Image Processing, Inorganic Chemistry 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.