Beifang Chen
- Computational Theory and Mathematics top 5%
- Geometry and Topology top 5%
- Discrete Mathematics and Combinatorics top 5%
- Mathematical Physics top 10%
- Applied Mathematics top 10%
- Co-authors
- Shing‐Tung YauYeong‐Nan YehGuantao ChenMin YanSanming ZhouRichard P. StanleyJue WangVladimir Turaev
- Topics
- Advanced Combinatorial Mathematics (15 papers)Computational Geometry and Mesh Generation (5 papers)Advanced Graph Theory Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Alloys and CompoundsAdvances in Mathematics
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Beifang Chen
33 papers receiving 194 citations
Peers
Comparison fields: 5 of 43
- Computational Theory and Mathematics 96
- Geometry and Topology 87
- Discrete Mathematics and Combinatorics 82
- Mathematical Physics 63
- Applied Mathematics 33
Countries citing papers authored by Beifang Chen
This map shows the geographic impact of Beifang Chen'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 Beifang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beifang Chen more than expected).
Fields of papers citing papers by Beifang Chen
This network shows the impact of papers produced by Beifang Chen. 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 Beifang Chen. The network helps show where Beifang Chen may publish in the future.
Co-authorship network of co-authors of Beifang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Beifang Chen. A scholar is included among the top collaborators of Beifang Chen 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 Beifang Chen. Beifang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | The Number of Nowhere-Zero Tensions on Graphs and Signed Graphs | 1 |
| 7 | 13 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 47 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Beifang Chen
Beifang Chen is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Computer Graphics and Computer-Aided Design, having authored 35 papers that have together received 214 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (15 papers), Computational Geometry and Mesh Generation (5 papers) and Advanced Graph Theory Research (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (82 citations), Geometry and Topology (87 citations) and Mathematical Physics (63 citations). Beifang Chen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Shing‐Tung Yau, Yeong‐Nan Yeh, Guantao Chen, Min Yan, Sanming Zhou, Richard P. Stanley, Jue Wang, Vladimir Turaev, Jue Wang and Min Yan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Alloys and Compounds and Advances in 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.