Mingyu Xiao
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Topics
- Advanced Graph Theory Research (41 papers)Complexity and Algorithms in Graphs (35 papers)Optimization and Search Problems (12 papers)
- Cited by
- Computational Theory and MathematicsDiscrete Mathematics and CombinatoricsComputer Networks and Communications
In The Last Decade
Mingyu Xiao
67 papers receiving 496 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 255
- Computer Networks and Communications 191
- Artificial Intelligence 119
- Computer Vision and Pattern Recognition 94
- Statistical and Nonlinear Physics 58
Countries citing papers authored by Mingyu Xiao
This map shows the geographic impact of Mingyu Xiao'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 Mingyu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Xiao more than expected).
Fields of papers citing papers by Mingyu Xiao
This network shows the impact of papers produced by Mingyu Xiao. 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 Mingyu Xiao. The network helps show where Mingyu Xiao may publish in the future.
Co-authorship network of co-authors of Mingyu Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Xiao. A scholar is included among the top collaborators of Mingyu Xiao 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 Mingyu Xiao. Mingyu Xiao 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis | 14 |
| 17 | 62 | |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 4 |
About Mingyu Xiao
Mingyu Xiao is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 82 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (41 papers), Complexity and Algorithms in Graphs (35 papers) and Optimization and Search Problems (12 papers). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Discrete Mathematics and Combinatorics (29 citations) and Computer Networks and Communications (191 citations). Mingyu Xiao has collaborated with scholars based in China, Japan and France. Frequent co-authors include Hiroshi Nagamochi, Yi Zhou, He Zhu, Ton Kloks, Yuanshun Dai, Jin Yan, Zhang-Hua Fu, Hanqiu Sun, Zhengren Wang and Sheung-Hung Poon. Their work appears in journals such as Chemical Engineering Journal, European Journal of Operational Research and IEEE Transactions on Image Processing.
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.