Xiying Yuan
- Geometry and Topology top 5%
- Computational Theory and Mathematics top 5%
- Computational Mathematics top 0.5%
- Discrete Mathematics and Combinatorics top 5%
- Organic Chemistry
- Co-authors
- Jia‐Yu ShaoVladimir NikiforovLiqun QiHaiying ShanLiying KangMan ZhangMei LuYue Liu
- Topics
- Graph theory and applications (30 papers)Tensor decomposition and applications (12 papers)Matrix Theory and Algorithms (12 papers)
- Journals
- Applied Mathematics and ComputationLinear Algebra and its ApplicationsDiscrete Applied Mathematics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiying Yuan
33 papers receiving 277 citations
Peers
Comparison fields: 5 of 26
- Geometry and Topology 175
- Computational Theory and Mathematics 155
- Computational Mathematics 149
- Discrete Mathematics and Combinatorics 60
- Organic Chemistry 46
Countries citing papers authored by Xiying Yuan
This map shows the geographic impact of Xiying 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 Xiying Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiying Yuan more than expected).
Fields of papers citing papers by Xiying Yuan
This network shows the impact of papers produced by Xiying 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 Xiying Yuan. The network helps show where Xiying Yuan may publish in the future.
Co-authorship network of co-authors of Xiying Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiying Yuan. A scholar is included among the top collaborators of Xiying 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 Xiying Yuan. Xiying 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 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | On the spectral radius of unicyclic graphs with fixed maximum degree. | 2 |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 3 |
About Xiying Yuan
Xiying Yuan is a scholar working on Computational Mathematics, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 38 papers that have together received 286 indexed citations. Recurring topics across this work include Graph theory and applications (30 papers), Tensor decomposition and applications (12 papers) and Matrix Theory and Algorithms (12 papers). The work is most often cited by research in Computational Mathematics (149 citations), Geometry and Topology (175 citations) and Discrete Mathematics and Combinatorics (60 citations). Xiying Yuan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jia‐Yu Shao, Vladimir Nikiforov, Liqun Qi, Haiying Shan, Liying Kang, Man Zhang, Mei Lu, Yue Liu, Li Zhang and Ying Liu. Their work appears in journals such as Applied Mathematics and Computation, Linear Algebra and its Applications and Discrete Applied 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.