Qihe Tang
- Management Science and Operations Research top 0.05%
- Finance top 0.5%
- Demography top 0.1%
- Economics and Econometrics top 1%
- Mathematical Physics top 1%
- Co-authors
- Г. Ш. ЦициашвилиRob KaasJinzhu LiKai Wang NgHailiang YangMarc GoovaertsJan DhaeneJia-an Yan
- Topics
- Probability and Risk Models (88 papers)Insurance, Mortality, Demography, Risk Management (55 papers)Insurance and Financial Risk Management (37 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologyEuropean Journal of Operational Research
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Qihe Tang
120 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 70
- Management Science and Operations Research 2.9k
- Finance 1.8k
- Demography 1.6k
- Economics and Econometrics 755
- Mathematical Physics 678
Countries citing papers authored by Qihe Tang
This map shows the geographic impact of Qihe Tang'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 Qihe Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qihe Tang more than expected).
Fields of papers citing papers by Qihe Tang
This network shows the impact of papers produced by Qihe Tang. 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 Qihe Tang. The network helps show where Qihe Tang may publish in the future.
Co-authorship network of co-authors of Qihe Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Qihe Tang. A scholar is included among the top collaborators of Qihe Tang 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 Qihe Tang. Qihe Tang 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 | 7 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | Remarks on Quantiles and Distortion Risk Measures | 4 |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 13 | |
| 12 | Introducing a Dependence Structure to the Occurences in Studying Precise Large Deviations for the Total Claim Amount | 16 |
| 13 | Capital requirements, risk measures and comonotonicity | 18 |
| 14 | Some useful counterexamples regarding comonotonicity | 6 |
| 15 | 85 | |
| 16 | 33 | |
| 17 | 278 | |
| 18 | Characterizations on Heaviness of Distribution Tails of Non-negative Variables | 2 |
| 19 | RUIN PROBABILITIES FOR LARGE CLAIMS IN EQUILIBRIUM RENEWAL MODEL | 3 |
| 20 | 4 |
About Qihe Tang
Qihe Tang is a scholar working on Management Science and Operations Research, Finance and Demography, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include Probability and Risk Models (88 papers), Insurance, Mortality, Demography, Risk Management (55 papers) and Insurance and Financial Risk Management (37 papers). The work is most often cited by research in Management Science and Operations Research (2.9k citations), Finance (1.8k citations) and Demography (1.6k citations). Qihe Tang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Г. Ш. Цициашвили, Rob Kaas, Jinzhu Li, Kai Wang Ng, Hailiang Yang, Marc Goovaerts, Jan Dhaene, Jia-an Yan, Jaap Geluk and Jun Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and European Journal of Operational Research.
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.