Yangfeng Su
Impact in
- Numerical Analysis top 2%
- Numerical methods for differential equations
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- Model Reduction and Neural Networks
Papers in
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- Matrix Theory and Algorithms 26
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- Model Reduction and Neural Networks 27
- Co-authors
- Zhaojun Bai (18 shared papers)Xuan Zeng (34 shared papers)Dian Zhou (22 shared papers)Amit Bhaya (5 shared papers)Fan Yang (12 shared papers)Jun Tao (13 shared papers)Ding Lu (2 shared papers)C. Chiang (2 shared papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (12 papers)SIAM Journal on Matrix Analysis and Applications (5 papers)Linear Algebra and its Applications (4 papers)Applied Mathematics and Computation (3 papers)Journal of Computational Mathematics (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Yangfeng Su
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Numerical Analysis 328
- Statistical and Nonlinear Physics 522
- Statistics, Probability and Uncertainty 155
- Computational Theory and Mathematics 284
- Computational Mathematics 10
Countries citing papers authored by Yangfeng Su
This map shows the geographic impact of Yangfeng Su'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 Yangfeng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangfeng Su more than expected).
Fields of papers citing papers by Yangfeng Su
This network shows the impact of papers produced by Yangfeng Su. 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 Yangfeng Su. The network helps show where Yangfeng Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangfeng Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 220 | |
| 2 | 2005 | 196 | |
| 3 | 2011 | 75 | |
| 4 | 2005 | 61 | |
| 5 | 2017 | 45 | |
| 6 | 2008 | 42 | |
| 7 | 2016 | 42 | |
| 8 | 2008 | 40 | |
| 9 | 2005 | 28 | |
| 10 | 2019 | 23 | |
| 11 | 2007 | 22 | |
| 12 | 2007 | 21 | |
| 13 | 2005 | 19 | |
| 14 | 2008 | 18 | |
| 15 | 2007 | 18 | |
| 16 | 2013 | 17 | |
| 17 | 2001 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 1998 | 16 |
About Yangfeng Su
Yangfeng Su is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Numerical Analysis and Hardware and Architecture, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (27 papers), Matrix Theory and Algorithms (26 papers), Numerical methods for differential equations (14 papers), Low-power high-performance VLSI design (14 papers), Electromagnetic Simulation and Numerical Methods (10 papers), Advanced Optimization Algorithms Research (9 papers), VLSI and Analog Circuit Testing (9 papers) and Probabilistic and Robust Engineering Design (9 papers). The work is most often cited by research in Numerical Analysis (328 citations), Statistical and Nonlinear Physics (522 citations), Statistics, Probability and Uncertainty (155 citations), Computational Theory and Mathematics (284 citations) and Computational Mathematics (10 citations). Yangfeng Su has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Zhaojun Bai, Xuan Zeng, Dian Zhou, Amit Bhaya, Fan Yang, Jun Tao, Ding Lu, C. Chiang, Jian Wang and Xin Li. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, Applied Mathematics and Computation and Journal of Computational Mathematics.
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.