X. Sheldon Lin
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- Probability and Risk Models 29
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications 23
- Statistical Methods and Bayesian Inference 11
- Statistical Methods and Inference 7
- Demography top 0.2%
- Insurance, Mortality, Demography, Risk Management 25
- Finance top 1%
- Stochastic processes and financial applications 11
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 17
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- Insurance and Financial Risk Management 9
- Co-authors
- Gordon E. WillmotSteve DrekicHao Helen ZhangCheolwoo ParkJeongyoun AhnKen Seng TanHailiang YangAndrei L. Badescu
- Journals
- Insurance Mathematics and Economics (15 papers)North American Actuarial Journal (8 papers)Astin Bulletin (7 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
X. Sheldon Lin
97 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 148
- Management Science and Operations Research 1.3k
- Statistics and Probability 690
- Demography 949
- Finance 628
- Artificial Intelligence 665
Countries citing papers authored by X. Sheldon Lin
This map shows the geographic impact of X. Sheldon Lin'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 X. Sheldon Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Sheldon Lin more than expected).
Fields of papers citing papers by X. Sheldon Lin
This network shows the impact of papers produced by X. Sheldon Lin. 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 X. Sheldon Lin. The network helps show where X. Sheldon Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside X. Sheldon Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 14 | |
| 4 | 2022 | 6 | |
| 5 | 2018 | 22 | |
| 6 | 2018 | 4 | |
| 7 | 2014 | 10 | |
| 8 | 2012 | 5 | |
| 9 | 2011 | 5 | |
| 10 | 2010 | 109 | |
| 11 | 2010 | 99 | |
| 12 | 2009 | 12 | |
| 13 | Introducing people knowledge into science learning | 2008 | 3 |
| 14 | 2008 | 11 | |
| 15 | 2007 | 9 | |
| 16 | 2006 | 62 | |
| 17 | 2006 | 11 | |
| 18 | The effect of multiple-perspective thinking on problem solving | 2006 | 3 |
| 19 | The ideal science student and problem solving | 2006 | 3 |
| 20 | 2003 | 167 |
About X. Sheldon Lin
X. Sheldon Lin is a scholar working on Statistics and Probability, Management Science and Operations Research, Demography, Finance and Toxicology, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include Probability and Risk Models (29 papers), Insurance, Mortality, Demography, Risk Management (25 papers), Statistical Distribution Estimation and Applications (23 papers), Bayesian Methods and Mixture Models (17 papers), Stochastic processes and financial applications (11 papers), Statistical Methods and Bayesian Inference (11 papers), Insurance and Financial Risk Management (9 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Statistics and Probability (690 citations), Demography (949 citations), Finance (628 citations) and Artificial Intelligence (665 citations). X. Sheldon Lin has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Gordon E. Willmot, Steve Drekic, Hao Helen Zhang, Cheolwoo Park, Jeongyoun Ahn, Ken Seng Tan, Hailiang Yang, Andrei L. Badescu, Cindy E. Hmelo and Chris Clifton. Their work appears in journals such as Insurance Mathematics and Economics, North American Actuarial Journal, Astin Bulletin, Journal of Applied Probability and Journal of Mathematical Biology.
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.