Han Li
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in
- Demography 25
- Insurance, Mortality, Demography, Risk Management 25
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- Global Health Care Issues 24
- Co-authors
- Kai Yang (15 shared papers)Dehui Wang (9 shared papers)Zhigang Li (1 shared paper)Srikumar Venugopal (1 shared paper)Rohan Best (2 shared papers)Qihe Tang (3 shared papers)Yi Lu (1 shared paper)Yunchen Du (2 shared papers)
- Journals
- Insurance Mathematics and Economics (6 papers)International Journal of Forecasting (3 papers)Chemical Engineering Journal (3 papers)Annals of Actuarial Science (2 papers)AStA Advances in Statistical Analysis (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Han Li
81 papers receiving 872 citations
Peers
Comparison fields: 5 of 102
- Statistics and Probability 208
- Finance 190
- Demography 129
- Economics and Econometrics 229
- General Economics, Econometrics and Finance 64
Countries citing papers authored by Han Li
This map shows the geographic impact of Han 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 Han Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Li more than expected).
Fields of papers citing papers by Han Li
This network shows the impact of papers produced by Han 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 Han Li. The network helps show where Han Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2020 | 53 | |
| 3 | 2023 | 51 | |
| 4 | 2016 | 40 | |
| 5 | 2011 | 37 | |
| 6 | 2017 | 32 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 28 | |
| 9 | 2014 | 26 | |
| 10 | 2015 | 25 | |
| 11 | 2023 | 23 | |
| 12 | 2019 | 23 | |
| 13 | 2023 | 21 | |
| 14 | 2024 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2024 | 16 |
About Han Li
Han Li is a scholar working on Demography, General Health Professions, Economics and Econometrics, Finance and Statistics and Probability, having authored 92 papers that have together received 888 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (25 papers), Global Health Care Issues (24 papers), Financial Risk and Volatility Modeling (15 papers), Statistical Methods and Inference (13 papers), Health disparities and outcomes (9 papers), Insurance and Financial Risk Management (8 papers), Bayesian Methods and Mixture Models (4 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Statistics and Probability (208 citations), Finance (190 citations), Demography (129 citations), Economics and Econometrics (229 citations) and General Economics, Econometrics and Finance (64 citations). Han Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Kai Yang, Dehui Wang, Zhigang Li, Srikumar Venugopal, Rohan Best, Qihe Tang, Yi Lu, Yunchen Du, Na Wang and Ziqiu Ren. Their work appears in journals such as Insurance Mathematics and Economics, International Journal of Forecasting, Chemical Engineering Journal, Annals of Actuarial Science and AStA Advances in Statistical Analysis.
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.