Ya-xiang Yuan
- Numerical Analysis top 0.2%
- Computational Theory and Mathematics top 0.2%
- Computational Mechanics top 0.5%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Co-authors
- Wenyu SunJinyan FanYu‐Hong DaiJorge NocedalRichard H. ByrdZaiwen WenJinyun YuanXinwei Liu
- Topics
- Advanced Optimization Algorithms Research (66 papers)Sparse and Compressive Sensing Techniques (34 papers)Matrix Theory and Algorithms (29 papers)
- Journals
- IEEE Transactions on Signal ProcessingMathematics of ComputationIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Ya-xiang Yuan
85 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Numerical Analysis 2.1k
- Computational Theory and Mathematics 1.5k
- Computational Mechanics 1.2k
- Artificial Intelligence 597
- Control and Systems Engineering 447
Countries citing papers authored by Ya-xiang Yuan
This map shows the geographic impact of Ya-xiang Yuan'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 Ya-xiang Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-xiang Yuan more than expected).
Fields of papers citing papers by Ya-xiang Yuan
This network shows the impact of papers produced by Ya-xiang Yuan. 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 Ya-xiang Yuan. The network helps show where Ya-xiang Yuan may publish in the future.
Co-authorship network of co-authors of Ya-xiang Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Ya-xiang Yuan. A scholar is included among the top collaborators of Ya-xiang Yuan 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 Ya-xiang Yuan. Ya-xiang Yuan 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 | 4 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | Shape-Changing L-SR1 Trust-Region Methods | 2 |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 65 | |
| 10 | 32 | |
| 11 | Optimization Theory and Methods: Nonlinear Programmingbreakdown → | 662 |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 410 | |
| 15 | 8 | |
| 16 | 91 | |
| 17 | 26 | |
| 18 | 147 | |
| 19 | 2 | |
| 20 | 39 |
About Ya-xiang Yuan
Ya-xiang Yuan is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 89 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (66 papers), Sparse and Compressive Sensing Techniques (34 papers) and Matrix Theory and Algorithms (29 papers). The work is most often cited by research in Numerical Analysis (2.1k citations), Computational Theory and Mathematics (1.5k citations) and Computational Mathematics (52 citations). Ya-xiang Yuan has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Wenyu Sun, Jinyan Fan, Yu‐Hong Dai, Jorge Nocedal, Richard H. Byrd, Zaiwen Wen, Jinyun Yuan, Xinwei Liu, Xin Liu and Jiang Hu. Their work appears in journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and IEEE Transactions on Intelligent Transportation 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.