Lan Wu
Impact in
-
- Risk and Portfolio Optimization
- Finance top 5%
- Stochastic processes and financial applications
- Financial Markets and Investment Strategies
Papers in
- Finance 20
- Stochastic processes and financial applications 16
- Financial Markets and Investment Strategies 7
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- Risk and Portfolio Optimization 4
- Co-authors
- Yuehan Yang (2 shared papers)Jingping Yang (1 shared paper)Wei Cui (1 shared paper)Hanzhong Liu (1 shared paper)Jiang Zhou (7 shared papers)Yang Bai (2 shared papers)Ting Zhang (1 shared paper)Jinwei Ren (1 shared paper)
- Journals
- Insurance Mathematics and Economics (4 papers)Quantitative Finance (3 papers)Conservation Biology (1 paper)Computational Statistics & Data Analysis (1 paper)Journal of Computational and Applied Mathematics (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Lan Wu
24 papers receiving 410 citations
Peers
Comparison fields: 5 of 100
- Management Science and Operations Research 139
- Finance 106
- Ecological Modeling 28
- Demography 71
- Statistics and Probability 45
Countries citing papers authored by Lan Wu
This map shows the geographic impact of Lan Wu'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 Lan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wu more than expected).
Fields of papers citing papers by Lan Wu
This network shows the impact of papers produced by Lan Wu. 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 Lan Wu. The network helps show where Lan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 90 | |
| 2 | 2013 | 89 | |
| 3 | 2013 | 61 | |
| 4 | 2018 | 58 | |
| 5 | 2016 | 30 | |
| 6 | 2020 | 17 | |
| 7 | 2017 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2015 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2017 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 2 | |
| 17 | Imaging value on bone turnover of skeletal fluorosis | 2004 | 2 |
| 18 | 2022 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Lan Wu
Lan Wu is a scholar working on Finance, Management Science and Operations Research, Economics and Econometrics, Demography and Mathematical Physics, having authored 27 papers that have together received 425 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (16 papers), Financial Markets and Investment Strategies (7 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Complex Systems and Time Series Analysis (4 papers), Risk and Portfolio Optimization (4 papers), Advanced Queuing Theory Analysis (3 papers), Economic theories and models (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Management Science and Operations Research (139 citations), Finance (106 citations), Ecological Modeling (28 citations), Demography (71 citations) and Statistics and Probability (45 citations). Lan Wu has collaborated with scholars based in China, United States and India. Frequent co-authors include Yuehan Yang, Jingping Yang, Wei Cui, Hanzhong Liu, Jiang Zhou, Yang Bai, Ting Zhang, Jinwei Ren, Yong Li and Li Di. Their work appears in journals such as Insurance Mathematics and Economics, Quantitative Finance, Conservation Biology, Computational Statistics & Data Analysis and Journal of Computational and Applied Mathematics.
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.