| Enhancing stochastic kriging metamodels with gradient estimators X Chen, BE Ankenman, BL Nelson Operations Research 61 (2), 512-528, 2013 | 96 | 2013 |
| The effects of common random numbers on stochastic kriging metamodels X Chen, BE Ankenman, BL Nelson ACM Transactions on Modeling and Computer Simulation (TOMACS) 22 (2), 1-20, 2012 | 96 | 2012 |
| Stochastic kriging with biased sample estimates X Chen, KK Kim ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (2), 1-23, 2014 | 45 | 2014 |
| Sequential Design Strategies for Mean Response Surface Metamodeling via Stochastic Kriging with Adaptive Exploration and Exploitation X Chen, Q Zhou European Journal of Operational Research 262 (2), 575-585, 2017 | 40 | 2017 |
| An Integrated Gaussian Process Modeling Framework for Residential Load Prediction G Xie, X Chen, Y Weng IEEE Transactions on Power Systems 33 (6), 7238-7248, 2018 | 35 | 2018 |
| Gaussian process based modeling and experimental design for sensor calibration in drifting environments Z Geng, F Yang, X Chen, N Wu Sensors and Actuators B: Chemical 216, 321-331, 2015 | 33 | 2015 |
| Sequential experimental designs for stochastic kriging X Chen, Q Zhou Proceedings of the Winter Simulation Conference 2014, 3821-3832, 2014 | 26 | 2014 |
| Building Metamodels for Quantile-Based Measures Using Sectioning X Chen, KK Kim Simulation Conference (WSC), 2013 Winter, 521-532, 2013 | 23 | 2013 |
| Quantile Regression Metamodeling: Toward Improved Responsiveness in the High-Tech Electronics Manufacturing Industry D Batur, J Bekki, X Chen European Journal of Operational Research 264, 212-224, 2018 | 22 | 2018 |
| Stochastic kriging with qualitative factors X Chen, K Wang, F Yang 2013 Winter Simulations Conference (WSC), 790-801, 2013 | 22 | 2013 |
| Efficient VaR and CVaR Measurement via Stochastic Kriging X Chen, KK Kim INFORMS Journal on Computing 28, 629 - 644, 2016 | 20 | 2016 |
| Steady-state quantile parameter estimation: an empirical comparison of stochastic kriging and quantile regression JM Bekki, X Chen, D Batur Proceedings of the 2014 Winter Simulation Conference, 3880-3891, 2014 | 19 | 2014 |
| Stochastic kriging for conditional value-at-risk and its sensitivities X Chen, BL Nelson, KK Kim Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 17 | 2012 |
| High-Resolution Computational Modeling of Immune Responses in the Gut M Verma, J Bassaganya-Riera, A Leber, N Tubau-Juni, S Hoops, V Abedi, ... GigaScience, 2019 | 16 | 2019 |
| An Efficient Morris Method-based Framework for Simulation Factor Screening W Shi, X Chen, J Shang INFORMS Journal on Computing, 1-26, 2019 | 16 | 2019 |
| The Effects of Estimation of Heteroscedasticity on Stochastic Kriging W Wang, X Chen Proceedings of the 2016 Winter Simulation Conference, 2016 | 15 | 2016 |
| Spectral-Selective Plasmonic Polymer Nanocomposites across the Visible and Near-Infrared AU Khan, Y Guo, X Chen, G Liu ACS Nano 13, 4255–4266, 2019 | 14 | 2019 |
| An Adaptive Two-Stage Dual Metamodeling Approach for Stochastic Simulation Experiments W Wang, X Chen IISE Transactions 50, 820-836, 2018 | 14 | 2018 |
| Common random numbers and stochastic kriging X Chen, B Ankenman, BL Nelson Proceedings of the Winter Simulation Conference, 947-956, 2010 | 14 | 2010 |
| Efficient and Robust Online Trajectory Prediction for Unmanned Aerial Vehicles G Xie, X Chen Journal of Aerospace Information Systems 19 (2), 143-153, 2022 | 11 | 2022 |
Guangrui XieVirginia TechAdresse e-mail validée de vt.edu
