Rui Tuo

900 total citations
33 papers, 519 citations indexed

About

Rui Tuo is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Rui Tuo has authored 33 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 14 papers in Statistics, Probability and Uncertainty and 12 papers in Artificial Intelligence. Recurrent topics in Rui Tuo's work include Advanced Multi-Objective Optimization Algorithms (17 papers), Probabilistic and Robust Engineering Design (13 papers) and Gaussian Processes and Bayesian Inference (9 papers). Rui Tuo is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (17 papers), Probabilistic and Robust Engineering Design (13 papers) and Gaussian Processes and Bayesian Inference (9 papers). Rui Tuo collaborates with scholars based in United States, China and Australia. Rui Tuo's co-authors include Changbao Wu, V. Roshan Joseph, C. F. Jeff Wu, Tirthankar Dasgupta, Cheng Wu, Wenjia Wang, Matthew Plumlee, Dan Yu, Yu Ding and Li Gu and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.

In The Last Decade

Rui Tuo

32 papers receiving 503 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rui Tuo United States 13 246 215 137 122 79 33 519
Mickaël Binois France 11 198 0.8× 98 0.5× 163 1.2× 145 1.2× 50 0.6× 29 492
Domenico Spina Belgium 16 115 0.5× 273 1.3× 84 0.6× 61 0.5× 71 0.9× 63 792
Genetha A. Gray United States 8 187 0.8× 46 0.2× 135 1.0× 51 0.4× 33 0.4× 24 405
Alex Gorodetsky United States 11 86 0.3× 180 0.8× 58 0.4× 29 0.2× 42 0.5× 56 385
Agnès Lagnoux France 10 79 0.3× 313 1.5× 42 0.3× 73 0.6× 22 0.3× 21 485
Scott A. Starks United States 9 94 0.4× 82 0.4× 100 0.7× 39 0.3× 35 0.4× 70 322
Joerg Gablonsky United States 9 205 0.8× 39 0.2× 132 1.0× 44 0.4× 62 0.8× 13 502
Youssef Diouane France 8 114 0.5× 46 0.2× 76 0.6× 43 0.4× 26 0.3× 36 284
Leonid G. Khachiyan United States 8 203 0.8× 25 0.1× 104 0.8× 44 0.4× 47 0.6× 8 506
Takashi Tsuchiya Japan 13 594 2.4× 47 0.2× 48 0.4× 25 0.2× 144 1.8× 39 901

Countries citing papers authored by Rui Tuo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rui Tuo

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Tuo. A scholar is included among the top collaborators of Rui Tuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rui Tuo. Rui Tuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhang, Wei, MingJian Tang, Xiaowei Zeng, et al.. (2025). Inverse design of nonlinear mechanics of bio-inspired materials through interface engineering and Bayesian optimization. Extreme Mechanics Letters. 78. 102359–102359. 1 indexed citations
3.
Tuo, Rui, et al.. (2024). A review on computer model calibration. Wiley Interdisciplinary Reviews Computational Statistics. 16(1). 13 indexed citations
4.
Tuo, Rui, et al.. (2022). The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling. Technometrics. 65(1). 70–82. 13 indexed citations
5.
Tuo, Rui, et al.. (2022). Hypothesis tests with functional data for surface quality change detection in surface finishing processes. IISE Transactions. 55(9). 940–956. 5 indexed citations
6.
Zhang, Wanrong, et al.. (2021). Single and Multiple Change-Point Detection with Differential Privacy. Journal of Machine Learning Research. 22(29). 1–36. 2 indexed citations
7.
Tuo, Rui, et al.. (2021). Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. Figshare. 6 indexed citations
8.
Tuo, Rui, et al.. (2021). A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models. Journal of the American Statistical Association. 118(542). 883–897. 4 indexed citations
9.
Tuo, Rui & Wenjia Wang. (2020). Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs. Journal of Machine Learning Research. 21(187). 1–38. 9 indexed citations
10.
Tuo, Rui, et al.. (2020). Semi-parametric adjustment to computer models. Statistics. 54(6). 1255–1275. 4 indexed citations
11.
Yue, Xiaowei, et al.. (2020). Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation. The Annals of Applied Statistics. 14(4). 18 indexed citations
12.
Chen, Zhiming, Rui Tuo, & Wenlong Zhang. (2020). A Balanced Oversampling Finite Element Method for Elliptic Problems with Observational Boundary Data. Journal of Computational Mathematics. 38(2). 355–374. 2 indexed citations
13.
Tuo, Rui, et al.. (2020). On the Improved Rates of Convergence for Matérn-Type Kernel Ridge Regression with Application to Calibration of Computer Models. SIAM/ASA Journal on Uncertainty Quantification. 8(4). 1522–1547. 13 indexed citations
14.
15.
Tuo, Rui. (2017). Uncertainty Quantification with α-Stable-Process Models. Statistica Sinica. 1 indexed citations
16.
Tuo, Rui & Changbao Wu. (2016). A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties. SIAM/ASA Journal on Uncertainty Quantification. 4(1). 767–795. 65 indexed citations
17.
He, Xu, Rui Tuo, & Cheng Wu. (2016). Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion. Technometrics. 59(1). 58–68. 16 indexed citations
18.
Tuo, Rui, C. F. Jeff Wu, & Dan Yu. (2014). Supplemental Material: Surrogate Modeling of Computer Experiments with Different Mesh Densities. Technometrics. 56.
19.
Joseph, V. Roshan, Tirthankar Dasgupta, Rui Tuo, & C. F. Jeff Wu. (2014). Sequential Exploration of Complex Surfaces Using Minimum Energy Designs. Technometrics. 57(1). 64–74. 76 indexed citations
20.
Tuo, Rui, Cheng Wu, & Dan Yu. (2013). Surrogate Modeling of Computer Experiments With Different Mesh Densities. Technometrics. 56(3). 372–380. 35 indexed citations

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.

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Breakdown of academic impact, for papers by Mickaël Binois Breakdown of academic impact, for papers by Domenico Spina Breakdown of academic impact, for papers by Genetha A. Gray Breakdown of academic impact, for papers by Alex Gorodetsky Breakdown of academic impact, for papers by Agnès Lagnoux Breakdown of academic impact, for papers by Scott A. Starks Breakdown of academic impact, for papers by Joerg Gablonsky Breakdown of academic impact, for papers by Youssef Diouane Breakdown of academic impact, for papers by Leonid G. Khachiyan Breakdown of academic impact, for papers by Takashi Tsuchiya
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