Jiong-Sheng Li
- Computational Theory and Mathematics top 1%
- Geometry and Topology top 2%
- Discrete Mathematics and Combinatorics top 2%
- Computer Vision and Pattern Recognition top 5%
- Organic Chemistry top 10%
- Topics
- Graph theory and applications (19 papers)Digital Image Processing Techniques (16 papers)Matrix Theory and Algorithms (10 papers)
- Cited by
- Discrete Mathematics and CombinatoricsGeometry and TopologyComputational Theory and Mathematics
- Partner nations
- China
In The Last Decade
Jiong-Sheng Li
42 papers receiving 682 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 429
- Geometry and Topology 389
- Discrete Mathematics and Combinatorics 233
- Computer Vision and Pattern Recognition 226
- Organic Chemistry 197
Countries citing papers authored by Jiong-Sheng Li
This map shows the geographic impact of Jiong-Sheng Li'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 Jiong-Sheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiong-Sheng Li more than expected).
Fields of papers citing papers by Jiong-Sheng Li
This network shows the impact of papers produced by Jiong-Sheng Li. 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 Jiong-Sheng Li. The network helps show where Jiong-Sheng Li may publish in the future.
Co-authorship network of co-authors of Jiong-Sheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jiong-Sheng Li. A scholar is included among the top collaborators of Jiong-Sheng Li 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 Jiong-Sheng Li. Jiong-Sheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Potentially K 1, 1, t -graphic sequences. | 0 |
| 2 | Note on the normalized Laplacian eigenvalues of signed graphs. | 12 |
| 3 | 4 | |
| 4 | 1 | |
| 5 | An Extremal Problem on the Potentially Kr+1-e Graphic Sequences. | 11 |
| 6 | The Smallest Degree Sum that Yields Potentially K2s-graphic Sequences. | 3 |
| 7 | 31 | |
| 8 | A Note on the Laplacian Eigenvalues | 1 |
| 9 | 6 | |
| 10 | 99 | |
| 11 | 22 | |
| 12 | 9 | |
| 13 | 51 | |
| 14 | 29 | |
| 15 | Potentially 3 C l Graphic Sequences | 2 |
| 16 | The smallest degree sum that yields potentially P k -graphical sequences | 27 |
| 17 | 84 | |
| 18 | 48 | |
| 19 | 0 | |
| 20 | 1 |
About Jiong-Sheng Li
Jiong-Sheng Li is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Computational Theory and Mathematics, having authored 46 papers that have together received 753 indexed citations. Recurring topics across this work include Graph theory and applications (19 papers), Digital Image Processing Techniques (16 papers) and Matrix Theory and Algorithms (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (233 citations), Geometry and Topology (389 citations) and Computational Theory and Mathematics (429 citations). Jiong-Sheng Li has collaborated with scholars based in China. Frequent co-authors include Xiao‐Dong Zhang, Yaoping Hou, Zi‐Xia Song, Jian-Hua Yin, Honghai Li, Rong Luo, Yi-Zheng Fan, Yubin Gao, Guoliang Chen and Kai Yang. Their work appears in journals such as Annals of the New York Academy of Sciences, Linear Algebra and its Applications and Networks.
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.