Xiaoli Wei
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
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- Reinforcement Learning in Robotics 6
-
- Risk and Portfolio Optimization 3
- Advanced Bandit Algorithms Research 2
- Co-authors
- Huyên Pham (3 shared papers)Huyên Pham (1 shared paper)Xin Guo (7 shared papers)Renyuan Xu (6 shared papers)Hengxi Zhang (3 shared papers)Chengyue Lu (1 shared paper)Wenbo Ding (1 shared paper)Le Liang (1 shared paper)
- Journals
- Applied Mathematics & Optimization (2 papers)Stochastic Processes and their Applications (1 paper)Current Eye Research (1 paper)ESAIM Control Optimisation and Calculus of Variations (1 paper)Mathematical Finance (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaoli Wei
19 papers receiving 233 citations
Peers
Comparison fields: 5 of 70
- Finance 131
- Modeling and Simulation 29
- Management Science and Operations Research 50
- Statistics and Probability 24
- Applied Mathematics 26
Countries citing papers authored by Xiaoli Wei
This map shows the geographic impact of Xiaoli Wei'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 Xiaoli Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Wei more than expected).
Fields of papers citing papers by Xiaoli Wei
This network shows the impact of papers produced by Xiaoli Wei. 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 Xiaoli Wei. The network helps show where Xiaoli Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Wei, 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 | 2017 | 78 | |
| 2 | 2017 | 54 | |
| 3 | 2022 | 25 | |
| 4 | 2021 | 21 | |
| 5 | 2016 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 6 | |
| 11 | Dynamic Programming Principles for Learning MFCs | 2019 | 5 |
| 12 | 2024 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2024 | 2 | |
| 17 | Q-Learning for Mean-Field Controls | 2020 | 1 |
| 18 | 2014 | 1 | |
| 19 | 2021 | 1 | |
| 20 | On the extremal Merrifield-Simmons index with respect to trees having given number of endvertices | 2009 | 0 |
About Xiaoli Wei
Xiaoli Wei is a scholar working on Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Computer Networks and Communications and Finance, having authored 20 papers that have together received 252 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Advanced Control Systems Optimization (4 papers), Stochastic processes and financial applications (4 papers), Distributed Control Multi-Agent Systems (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Adaptive Dynamic Programming Control (3 papers), Risk and Portfolio Optimization (3 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Finance (131 citations), Modeling and Simulation (29 citations), Management Science and Operations Research (50 citations), Statistics and Probability (24 citations) and Applied Mathematics (26 citations). Xiaoli Wei has collaborated with scholars based in China, United States and France. Frequent co-authors include Huyên Pham, Huyên Pham, Xin Guo, Renyuan Xu, Hengxi Zhang, Chengyue Lu, Wenbo Ding, Le Liang, Ling Cheng and Zhu Han. Their work appears in journals such as Applied Mathematics & Optimization, Stochastic Processes and their Applications, Current Eye Research, ESAIM Control Optimisation and Calculus of Variations and Mathematical Finance.
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.