Yuning Yang
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Tensor decomposition and applications 25
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- Matrix Theory and Algorithms 14
- Co-authors
- Qingzhi Yang (14 shared papers)Andrew J. Mason (13 shared papers)Yunlong Feng (8 shared papers)Johan A. K. Suykens (7 shared papers)Xiaolin Huang (3 shared papers)Gonglin Yuan (2 shared papers)Zengxin Wei (1 shared paper)Xiaoyi Mu (1 shared paper)
- Journals
- Journal of Optimization Theory and Applications (6 papers)Computational Optimization and Applications (4 papers)SIAM Journal on Matrix Analysis and Applications (3 papers)Applied Mathematics and Computation (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Yuning Yang
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Computational Mathematics 598
- Numerical Analysis 172
- Computational Theory and Mathematics 406
- Computational Mechanics 239
- Geometry and Topology 70
Countries citing papers authored by Yuning Yang
This map shows the geographic impact of Yuning 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 Yuning Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Yang more than expected).
Fields of papers citing papers by Yuning Yang
This network shows the impact of papers produced by Yuning 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 Yuning Yang. The network helps show where Yuning Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning Yang, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 300 | |
| 2 | 2011 | 140 | |
| 3 | 2015 | 84 | |
| 4 | 2014 | 82 | |
| 5 | 2018 | 66 | |
| 6 | 2017 | 51 | |
| 7 | 2015 | 47 | |
| 8 | 2016 | 45 | |
| 9 | 2010 | 30 | |
| 10 | 2011 | 28 | |
| 11 | 2016 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2015 | 25 | |
| 14 | 2010 | 24 | |
| 15 | 2013 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2016 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 10 | |
| 20 | 2020 | 10 |
About Yuning Yang
Yuning Yang is a scholar working on Computational Mathematics, Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tensor decomposition and applications (25 papers), Sparse and Compressive Sensing Techniques (17 papers), Matrix Theory and Algorithms (14 papers), Neuroscience and Neural Engineering (12 papers), Advanced Optimization Algorithms Research (9 papers), Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Computational Mathematics (598 citations), Numerical Analysis (172 citations), Computational Theory and Mathematics (406 citations), Computational Mechanics (239 citations) and Geometry and Topology (70 citations). Yuning Yang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Qingzhi Yang, Andrew J. Mason, Yunlong Feng, Johan A. K. Suykens, Xiaolin Huang, Gonglin Yuan, Zengxin Wei, Xiaoyi Mu, Haitao Li and Awais M. Kamboh. Their work appears in journals such as Journal of Optimization Theory and Applications, Computational Optimization and Applications, SIAM Journal on Matrix Analysis and Applications, Applied Mathematics and Computation and IEEE Transactions on Neural Networks and Learning Systems.
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.