Runhuan Feng
- Demography top 1%
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- Finance top 5%
- Statistics and Probability top 5%
- Co-authors
- Gordon E. WillmotJun CaiHans VolkmerYasutaka ShimizuJosé GarridoEric C.K. CheungZhenyu CuiJan Večeř
- Topics
- Insurance, Mortality, Demography, Risk Management (32 papers)Insurance and Financial Risk Management (20 papers)Stochastic processes and financial applications (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchJournal of Mathematical Analysis and Applications
- Partner nations
- United StatesChinaCanada
In The Last Decade
Runhuan Feng
53 papers receiving 559 citations
Peers
Comparison fields: 5 of 50
- Demography 322
- Management Science and Operations Research 315
- Economics and Econometrics 246
- Finance 225
- Statistics and Probability 79
Countries citing papers authored by Runhuan Feng
This map shows the geographic impact of Runhuan Feng'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 Runhuan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runhuan Feng more than expected).
Fields of papers citing papers by Runhuan Feng
This network shows the impact of papers produced by Runhuan Feng. 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 Runhuan Feng. The network helps show where Runhuan Feng may publish in the future.
Co-authorship network of co-authors of Runhuan Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Runhuan Feng. A scholar is included among the top collaborators of Runhuan Feng 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 Runhuan Feng. Runhuan Feng 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 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 49 | |
| 20 | 7 |
About Runhuan Feng
Runhuan Feng is a scholar working on Demography, Finance and Management Science and Operations Research, having authored 60 papers that have together received 580 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (32 papers), Insurance and Financial Risk Management (20 papers) and Stochastic processes and financial applications (19 papers). The work is most often cited by research in Demography (322 citations), Management Science and Operations Research (315 citations) and Finance (225 citations). Runhuan Feng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gordon E. Willmot, Jun Cai, Hans Volkmer, Yasutaka Shimizu, José Garrido, Eric C.K. Cheung, Zhenyu Cui, Jan Večeř, Peng Li and Jan Dhaene. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Mathematical Analysis and 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.