| Construction of orthogonal and nearly orthogonal Latin hypercubes CD Lin, R Mukerjee, B Tang Biometrika 96 (1), 243-247, 2009 | 124 | 2009 |
| A new and flexible method for constructing designs for computer experiments CD Lin, D Bingham, RR Sitter, B Tang The Annals of Statistics, 1460-1477, 2010 | 108 | 2010 |
| Additive Gaussian process for computer models with qualitative and quantitative factors X Deng, CD Lin, KW Liu, RK Rowe Technometrics 59 (3), 283-292, 2017 | 76 | 2017 |
| Latin hypercubes and space-filling designs CD Lin, B Tang Handbook of design and analysis of experiments, 593-625, 2015 | 73 | 2015 |
| Using genetic algorithms to design experiments: a review CD Lin, CM Anderson‐Cook, MS Hamada, LM Moore, RR Sitter Quality and Reliability Engineering International 31 (2), 155-167, 2015 | 66 | 2015 |
| Design for computer experiments with qualitative and quantitative factors X Deng, Y Hung, CD Lin Statistica Sinica, 1567-1581, 2015 | 44 | 2015 |
| Construction of sliced orthogonal Latin hypercube designs JF Yang, CD Lin, PZG Qian, DKJ Lin Statistica Sinica, 1117-1130, 2013 | 35 | 2013 |
| An isomorphism check for two-level fractional factorial designs CD Lin, RR Sitter Journal of Statistical Planning and Inference 138 (4), 1085-1101, 2008 | 27 | 2008 |
| Local Gaussian process model for large-scale dynamic computer experiments R Zhang, CD Lin, P Ranjan Journal of Computational and Graphical Statistics 27 (4), 798-807, 2018 | 16 | 2018 |
| New developments in designs for computer experiments and physical experiments CD Lin Simon Fraser University, 2008 | 14 | 2008 |
| Folded over non-orthogonal designs CD Lin, A Miller, RR Sitter Journal of statistical planning and inference 138 (10), 3107-3124, 2008 | 13 | 2008 |
| ON CONSTRUCTION OF MARGINALITY COUPLED DESIGNS Y He, CD Lin, F Sun Statistica Sinica, 665-683, 2017 | 11 | 2017 |
| A general construction for space-filling Latin hypercubes CD Lin, L Kang Statistica Sinica, 675-690, 2016 | 10 | 2016 |
| Designs of variable resolution CD Lin Biometrika 99 (3), 748-754, 2012 | 10 | 2012 |
| EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors Q Xiao, A Mandal, CD Lin, X Deng SIAM/ASA Journal on Uncertainty Quantification 9 (2), 333-353, 2021 | 7 | 2021 |
| Construction of marginally coupled designs by subspace theory Y He, CD Lin, F Sun | 7 | 2019 |
| Marginally coupled designs for two-level qualitative factors Y He, CD Lin, F Sun, B Lv Journal of Statistical Planning and Inference 187, 103-108, 2017 | 7 | 2017 |
| Creating catalogues of two-level nonregular fractional factorial designs based on the criteria of generalized aberration CD Lin, RR Sitter, B Tang Journal of statistical planning and inference 142 (2), 445-456, 2012 | 6 | 2012 |
| A sequential design approach for calibrating dynamic computer simulators R Zhang, CD Lin, P Ranjan SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1245-1274, 2019 | 5 | 2019 |
| Optimal design emulators: A point process approach MT Pratola, CD Lin, PF Craigmile arXiv preprint arXiv:1804.02089, 2018 | 5 | 2018 |
Xinwei DengProfessor of Statistics, Virginia TechVerified email at vt.edu
