| The design and analysis of computer experiments TJ Santner, BJ Williams, WI Notz, BJ Williams Springer, 2003 | 10824 | 2003 |
| Efficient global optimization of expensive black-box functions DR Jones, M Schonlau, WJ Welch Journal of Global optimization 13, 455-492, 1998 | 9266 | 1998 |
| Designs for computer experiments J Sacks, SB Schiller, WJ Welch Technometrics 31 (1), 41-47, 1989 | 1387 | 1989 |
| Taguchi's parameter design: a panel discussion VN Nair, B Abraham, J MacKay, G Box, RN Kacker, TJ Lorenzen, ... Technometrics 34 (2), 127-161, 1992 | 1030 | 1992 |
| Screening, predicting, and computer experiments WJ Welch, RJ Buck, J Sacks, HP Wynn, TJ Mitchell, MD Morris Technometrics 34 (1), 15-25, 1992 | 893 | 1992 |
| Choosing the sample size of a computer experiment: A practical guide JL Loeppky, J Sacks, WJ Welch Technometrics 51 (4), 366-376, 2009 | 760 | 2009 |
| Global versus local search in constrained optimization of computer models M Schonlau, WJ Welch, DR Jones Lecture notes-monograph series, 11-25, 1998 | 598 | 1998 |
| Computer experiments for quality control by parameter design W. J. Welch, T. K. Yu, S. M. Kang, and J. Sacks Journal of Quality Technology 22, 15-22, 1990 | 563 | 1990 |
| Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria WJ Welch Technometrics 24 (1), 41-48, 1982 | 230 | 1982 |
| Construction of permutation tests WJ Welch Journal of the American Statistical Association 85 (411), 693-698, 1990 | 220 | 1990 |
| Algorithmic complexity: three NP-hard problems in computational statistics WJ Welch Journal of Statistical Computation and Simulation 15 (1), 17-25, 1982 | 207 | 1982 |
| Integrated circuit design optimization using a sequential strategy MC Bernardo, R Buck, L Liu, WA Nazaret, J Sacks, WJ Welch IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 1992 | 160 | 1992 |
| Computer-aided design of experiments for response estimation WJ Welch Technometrics 26 (3), 217-224, 1984 | 126 | 1984 |
| A mean squared error criterion for the design of experiments WJ Welch Biometrika 70 (1), 205-213, 1983 | 117 | 1983 |
| Toxic colors: the use of deep learning for predicting toxicity of compounds merely from their graphic images M Fernandez, F Ban, G Woo, M Hsing, T Yamazaki, E LeBlanc, ... Journal of chemical information and modeling 58 (8), 1533-1543, 2018 | 108 | 2018 |
| Fisher information and maximum‐likelihood estimation of covariance parameters in Gaussian stochastic processes M Abt, WJ Welch Canadian Journal of Statistics 26 (1), 127-137, 1998 | 104 | 1998 |
| Arctic sea ice variability: Model sensitivities and a multidecadal simulation WL Chapman, WJ Welch, KP Bowman, J Sacks, JE Walsh Journal of Geophysical Research: Oceans 99 (C1), 919-935, 1994 | 103 | 1994 |
| A system for quality improvement via computer experiments WJ Welch, J Sacks Communications in statistics-Theory and methods 20 (2), 477-495, 1991 | 95 | 1991 |
| Screening the input variables to a computer model via analysis of variance and visualization M Schonlau, WJ Welch Screening: methods for experimentation in industry, drug discovery, and …, 2006 | 92 | 2006 |
| Ccgan: Continuous conditional generative adversarial networks for image generation X Ding, Y Wang, Z Xu, WJ Welch, ZJ Wang International conference on learning representations, 2021 | 83 | 2021 |
