Ailing Gu
Impact in
- Demography top 1%
- Insurance, Mortality, Demography, Risk Management
- Finance top 5%
- Stochastic processes and financial applications
- Financial Markets and Investment Strategies
Papers in
- Demography 11
- Insurance, Mortality, Demography, Risk Management 11
- Finance 6
- Stochastic processes and financial applications 6
- Co-authors
- Yan Zeng (2 shared papers)Danping Li (1 shared paper)Frederi G Viens (4 shared papers)Zhongfei Li (2 shared papers)Xianping Guo (1 shared paper)Haixiang Yao (3 shared papers)Yang Shen (1 shared paper)Hongjie Pan (1 shared paper)
- Journals
- Insurance Mathematics and Economics (4 papers)Scandinavian Actuarial Journal (2 papers)Journal of Systems Science and Complexity (1 paper)Clinical and Experimental Obstetrics & Gynecology (1 paper)Methodology And Computing In Applied Probability (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ailing Gu
12 papers receiving 329 citations
Peers
Comparison fields: 5 of 29
- Demography 265
- Finance 182
- Management Science and Operations Research 212
- Economics and Econometrics 238
- General Decision Sciences 4
Countries citing papers authored by Ailing Gu
This map shows the geographic impact of Ailing Gu'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 Ailing Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailing Gu more than expected).
Fields of papers citing papers by Ailing Gu
This network shows the impact of papers produced by Ailing Gu. 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 Ailing Gu. The network helps show where Ailing Gu may publish in the future.
Co-authors
The 13 scholars most cited alongside Ailing Gu, 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 | 2015 | 117 | |
| 2 | 2012 | 95 | |
| 3 | 2018 | 41 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 31 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2014 | 3 | |
| 9 | 2016 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 |
About Ailing Gu
Ailing Gu is a scholar working on Demography, Finance, Economics and Econometrics, Management Science and Operations Research and Obstetrics and Gynecology, having authored 13 papers that have together received 340 indexed citations. Recurring topics across this work include Insurance and Financial Risk Management (11 papers), Insurance, Mortality, Demography, Risk Management (11 papers), Stochastic processes and financial applications (6 papers), Probability and Risk Models (4 papers), Advanced Algorithms and Applications (1 paper), Complex Network Analysis Techniques (1 paper), Maternal and fetal healthcare (1 paper) and Risk and Portfolio Optimization (1 paper). The work is most often cited by research in Demography (265 citations), Finance (182 citations), Management Science and Operations Research (212 citations), Economics and Econometrics (238 citations) and General Decision Sciences (4 citations). Ailing Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yan Zeng, Danping Li, Frederi G Viens, Zhongfei Li, Xianping Guo, Haixiang Yao, Yang Shen, Hongjie Pan, Fengbing Liang and Dezhu Ye. Their work appears in journals such as Insurance Mathematics and Economics, Scandinavian Actuarial Journal, Journal of Systems Science and Complexity, Clinical and Experimental Obstetrics & Gynecology and Methodology And Computing In Applied Probability.
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.