Jian Shen
- Computational Theory and Mathematics top 5%
- Geometry and Topology top 5%
- Electrical and Electronic Engineering
- Discrete Mathematics and Combinatorics top 5%
- Computer Vision and Pattern Recognition
- Topics
- Graph theory and applications (12 papers)graph theory and CDMA systems (10 papers)Advanced Graph Theory Research (10 papers)
- Cited by
- Discrete Mathematics and CombinatoricsGeometry and TopologyComputational Theory and Mathematics
- Journals
- Applied Mathematics and ComputationIEEE Transactions on MultimediaProceedings of the American Mathematical Society
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jian Shen
35 papers receiving 242 citations
Peers
Comparison fields: 5 of 47
- Computational Theory and Mathematics 126
- Geometry and Topology 100
- Electrical and Electronic Engineering 64
- Discrete Mathematics and Combinatorics 63
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Jian Shen
This map shows the geographic impact of Jian Shen'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 Jian Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Shen more than expected).
Fields of papers citing papers by Jian Shen
This network shows the impact of papers produced by Jian Shen. 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 Jian Shen. The network helps show where Jian Shen may publish in the future.
Co-authorship network of co-authors of Jian Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Shen. A scholar is included among the top collaborators of Jian Shen 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 Jian Shen. Jian Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 11 |
About Jian Shen
Jian Shen is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Computational Theory and Mathematics, having authored 36 papers that have together received 257 indexed citations. Recurring topics across this work include Graph theory and applications (12 papers), graph theory and CDMA systems (10 papers) and Advanced Graph Theory Research (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (63 citations), Geometry and Topology (100 citations) and Computational Theory and Mathematics (126 citations). Jian Shen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bo Liu, Xinmao Wang, Han Wang, S. Arumugam, Houqiang Li, Lei Yu, Li Li, Richard A. Brualdi, Cheng Chen and Zhiming Gong. Their work appears in journals such as Applied Mathematics and Computation, IEEE Transactions on Multimedia and Proceedings of the American Mathematical Society.
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.