Yuning Yang
- Computational Mathematics top 0.1%
- Computational Theory and Mathematics top 1%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Numerical Analysis top 5%
- Co-authors
- Qingzhi YangAndrew J. MasonYunlong FengJohan A. K. SuykensXiaolin HuangGonglin YuanZengxin WeiHaitao Li
- Topics
- Tensor decomposition and applications (25 papers)Sparse and Compressive Sensing Techniques (17 papers)Matrix Theory and Algorithms (14 papers)
- Journals
- Environmental Science & TechnologyIEEE Transactions on Biomedical EngineeringNeural Computation
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Yuning Yang
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Computational Mathematics 567
- Computational Theory and Mathematics 383
- Computational Mechanics 232
- Electrical and Electronic Engineering 212
- Numerical Analysis 164
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-authorship network of co-authors of Yuning Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuning Yang. A scholar is included among the top collaborators of Yuning 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 Yuning Yang. Yuning 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 64 | |
| 11 | 40 | |
| 12 | 15 | |
| 13 | 81 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 8 |
About Yuning Yang
Yuning Yang is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tensor decomposition and applications (25 papers), Sparse and Compressive Sensing Techniques (17 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Computational Mathematics (567 citations), Numerical Analysis (164 citations) and Computational Theory and Mathematics (383 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, Haitao Li, Xiaoyi Mu and Awais M. Kamboh. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Biomedical Engineering and Neural Computation.
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.