Ruodu Wang
Impact in
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- Risk and Portfolio Optimization
- Probability and Risk Models
- Finance top 1%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
Papers in
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- Decision-Making and Behavioral Economics 24
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- Risk and Portfolio Optimization 114
- Probability and Risk Models 22
- Co-authors
- Paul EmbrechtsGiovanni PuccettiVladimir VovkLiang PengRičardas ZitikisBin WangJingping YangCarole Bernard
- Journals
- Insurance Mathematics and Economics (14 papers)Mathematics of Operations Research (7 papers)Finance and Stochastics (6 papers)Journal of Multivariate Analysis (5 papers)Mathematical Finance (5 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Ruodu Wang
144 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Management Science and Operations Research 1.5k
- Finance 853
- General Decision Sciences 142
- Statistics and Probability 596
- Economics and Econometrics 773
Countries citing papers authored by Ruodu Wang
This map shows the geographic impact of Ruodu Wang'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 Ruodu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruodu Wang more than expected).
Fields of papers citing papers by Ruodu Wang
This network shows the impact of papers produced by Ruodu Wang. 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 Ruodu Wang. The network helps show where Ruodu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruodu Wang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 17 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 11 | |
| 15 | The Most Dangerous Model: A Natural Benchmark for Assessing Model Risk | 2015 | 0 |
| 16 | 2014 | 15 | |
| 17 | 2013 | 29 | |
| 18 | 2012 | 7 | |
| 19 | 2012 | 32 | |
| 20 | 2011 | 111 |
About Ruodu Wang
Ruodu Wang is a scholar working on General Decision Sciences, Management Science and Operations Research, Statistics and Probability, Finance and Economics and Econometrics, having authored 162 papers that have together received 2.1k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (114 papers), Stochastic processes and financial applications (31 papers), Financial Risk and Volatility Modeling (31 papers), Insurance and Financial Risk Management (24 papers), Decision-Making and Behavioral Economics (24 papers), Probability and Risk Models (22 papers), Statistical Methods and Inference (21 papers) and Statistical Methods in Clinical Trials (18 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Finance (853 citations), General Decision Sciences (142 citations), Statistics and Probability (596 citations) and Economics and Econometrics (773 citations). Ruodu Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Paul Embrechts, Giovanni Puccetti, Vladimir Vovk, Liang Peng, Ričardas Zitikis, Bin Wang, Jingping Yang, Carole Bernard, Ludger Rüschendorf and Tiantian Mao. Their work appears in journals such as Insurance Mathematics and Economics, Mathematics of Operations Research, Finance and Stochastics, Journal of Multivariate Analysis 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.