Huan-Nan Shi
- Applied Mathematics top 2%
- Geometry and Topology top 5%
- Management Science and Operations Research
- Computational Theory and Mathematics
- Finance
- Topics
- Mathematical Inequalities and Applications (45 papers)Functional Equations Stability Results (36 papers)Mathematics and Applications (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular Phylogenetics and EvolutionComputers & Mathematics with Applications
In The Last Decade
Huan-Nan Shi
39 papers receiving 217 citations
Peers
Comparison fields: 5 of 20
- Applied Mathematics 261
- Geometry and Topology 133
- Management Science and Operations Research 31
- Computational Theory and Mathematics 26
- Finance 13
Countries citing papers authored by Huan-Nan Shi
This map shows the geographic impact of Huan-Nan Shi'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 Huan-Nan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan-Nan Shi more than expected).
Fields of papers citing papers by Huan-Nan Shi
This network shows the impact of papers produced by Huan-Nan Shi. 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 Huan-Nan Shi. The network helps show where Huan-Nan Shi may publish in the future.
Co-authorship network of co-authors of Huan-Nan Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Huan-Nan Shi. A scholar is included among the top collaborators of Huan-Nan Shi 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 Huan-Nan Shi. Huan-Nan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | A Class of Majorization Inequality With Applications | 0 |
| 11 | Schur-Convexity and Schur-Geometric Concavity of Lehme Means | 3 |
| 12 | Schur-Convexity and Schur-Geometrically Concavity of Seiffert's Mean | 1 |
| 13 | 22 | |
| 14 | 2 | |
| 15 | Schur-Concavity and Schur-Geometrically Convexity of Dual Form for Elementary Symmetric Function with Applications | 2 |
| 16 | Solution of an Open Problem Proposed by Feng Qi | 0 |
| 17 | Schur-Convexity and Schur-Geometrically Concavity of Gini Mean | 6 |
| 18 | 2 | |
| 19 | Schur-Convexity and Schur-Geometric Convexity for a Class of the Means | 1 |
| 20 | 42 |
About Huan-Nan Shi
Huan-Nan Shi is a scholar working on Applied Mathematics, Geometry and Topology and Computational Theory and Mathematics, having authored 45 papers that have together received 285 indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (45 papers), Functional Equations Stability Results (36 papers) and Mathematics and Applications (14 papers). The work is most often cited by research in Applied Mathematics (261 citations), Geometry and Topology (133 citations) and Management Science and Operations Research (31 citations). Huan-Nan Shi has collaborated with scholars based in China and Taiwan. Frequent co-authors include Shanhe Wu, Feng Qi, Wei–Shih Du, Qinghua Ma, Ximin Liu, Pei Wang, Dongsheng Wang, Bo-Yan Xi, J. Andrew Zhang and Dongsheng Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Phylogenetics and Evolution and Computers & Mathematics with 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.