Baoyindureng Wu
- Computational Theory and Mathematics top 1%
- Geometry and Topology top 2%
- Computer Networks and Communications top 10%
- Discrete Mathematics and Combinatorics top 5%
- Organic Chemistry
- Co-authors
- Gang ZhangHuiqiu LinLi ZhangHengzhe LiFangxia WangLan XuJixiang MengYun Wang
- Topics
- Advanced Graph Theory Research (85 papers)Graph theory and applications (57 papers)Graph Labeling and Dimension Problems (53 papers)
- Cited by
- Geometry and TopologyDiscrete Mathematics and CombinatoricsComputational Theory and Mathematics
In The Last Decade
Baoyindureng Wu
87 papers receiving 450 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 425
- Geometry and Topology 241
- Computer Networks and Communications 109
- Discrete Mathematics and Combinatorics 85
- Organic Chemistry 69
Countries citing papers authored by Baoyindureng Wu
This map shows the geographic impact of Baoyindureng Wu'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 Baoyindureng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoyindureng Wu more than expected).
Fields of papers citing papers by Baoyindureng Wu
This network shows the impact of papers produced by Baoyindureng Wu. 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 Baoyindureng Wu. The network helps show where Baoyindureng Wu may publish in the future.
Co-authorship network of co-authors of Baoyindureng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Baoyindureng Wu. A scholar is included among the top collaborators of Baoyindureng Wu 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 Baoyindureng Wu. Baoyindureng Wu 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 | 4 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | The Grundy number of a graph | 1 |
| 13 | 4 | |
| 14 | 14 | |
| 15 | Hamiltonicity of transformation graph G | 0 |
| 16 | 10 | |
| 17 | The transformation graph G | 6 |
| 18 | 0 | |
| 19 | 14 | |
| 20 | 19 |
About Baoyindureng Wu
Baoyindureng Wu is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Computational Theory and Mathematics, having authored 109 papers that have together received 471 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (85 papers), Graph theory and applications (57 papers) and Graph Labeling and Dimension Problems (53 papers). The work is most often cited by research in Geometry and Topology (241 citations), Discrete Mathematics and Combinatorics (85 citations) and Computational Theory and Mathematics (425 citations). Baoyindureng Wu has collaborated with scholars based in China, Canada and Czechia. Frequent co-authors include Gang Zhang, Huiqiu Lin, Li Zhang, Hengzhe Li, Fangxia Wang, Lan Xu, Li Zhang, Jixiang Meng, Yun Wang and Clive Elphick. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Linear Algebra and its Applications.
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.