Rui Tuo
Impact in
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- Probabilistic and Robust Engineering Design
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Multi-Objective Optimization Algorithms 17
- Advanced Mathematical Modeling in Engineering 2
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- Probabilistic and Robust Engineering Design 13
- Co-authors
- Changbao Wu (5 shared papers)V. Roshan Joseph (2 shared papers)Tirthankar Dasgupta (1 shared paper)C. F. Jeff Wu (1 shared paper)Cheng Wu (2 shared papers)Wenjia Wang (2 shared papers)Matthew Plumlee (1 shared paper)Dan Yu (2 shared papers)
- Journals
- Technometrics (8 papers)SIAM/ASA Journal on Uncertainty Quantification (3 papers)IISE Transactions (3 papers)Statistica Sinica (2 papers)Journal of Machine Learning Research (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Rui Tuo
33 papers receiving 543 citations
Peers
Comparison fields: 5 of 93
- Statistics, Probability and Uncertainty 218
- Computational Theory and Mathematics 249
- Management Science and Operations Research 124
- Statistics and Probability 54
- Artificial Intelligence 142
Countries citing papers authored by Rui Tuo
This map shows the geographic impact of Rui Tuo'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 Rui Tuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Tuo more than expected).
Fields of papers citing papers by Rui Tuo
This network shows the impact of papers produced by Rui Tuo. 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 Rui Tuo. The network helps show where Rui Tuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Tuo, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 83 | |
| 2 | 2014 | 80 | |
| 3 | 2016 | 66 | |
| 4 | 2013 | 36 | |
| 5 | 2019 | 34 | |
| 6 | 2013 | 30 | |
| 7 | 2018 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2020 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2024 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2020 | 13 | |
| 16 | Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs | 2020 | 9 |
| 17 | 2017 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2022 | 6 |
About Rui Tuo
Rui Tuo is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering, having authored 34 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (17 papers), Probabilistic and Robust Engineering Design (13 papers), Gaussian Processes and Bayesian Inference (9 papers), Control Systems and Identification (5 papers), Optimal Experimental Design Methods (5 papers), Simulation Techniques and Applications (4 papers), Numerical methods in inverse problems (2 papers) and Advanced Mathematical Modeling in Engineering (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (218 citations), Computational Theory and Mathematics (249 citations), Management Science and Operations Research (124 citations), Statistics and Probability (54 citations) and Artificial Intelligence (142 citations). Rui Tuo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Changbao Wu, V. Roshan Joseph, Tirthankar Dasgupta, C. F. Jeff Wu, Cheng Wu, Wenjia Wang, Matthew Plumlee, Dan Yu, Yu Ding and Xu He. Their work appears in journals such as Technometrics, SIAM/ASA Journal on Uncertainty Quantification, IISE Transactions, Statistica Sinica and Journal of Machine Learning Research.
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.