| Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors ML Boby, D Fearon, M Ferla, M Filep, L Koekemoer, MC Robinson, ... Science 382 (6671), eabo7201, 2023 | 155 | 2023 |
| Regression-based inverse distance weighting with applications to computer experiments VR Joseph, L Kang Technometrics 53 (3), 254-265, 2011 | 105 | 2011 |
| Predicting influent biochemical oxygen demand: Balancing energy demand and risk management JJ Zhu, L Kang, PR Anderson Water research 128, 304-313, 2018 | 71 | 2018 |
| Particle-based Energetic Variational Inference Y Wang, J Chen, C Liu, L Kang Statistics and Computing 31, 34, 2021 | 36 | 2021 |
| Fair and diverse allocation of scarce resources H Anahideh, L Kang, N Nezami Socio-Economic Planning Sciences 80, 101193, 2022 | 35 | 2022 |
| Bayesian optimal single arrays for robust parameter design L Kang, VR Joseph Technometrics 51 (3), 250-261, 2009 | 35 | 2009 |
| Gaussian process assisted active learning of physical laws J Chen, L Kang, G Lin Technometrics 63 (3), 329-342, 2021 | 33 | 2021 |
| A Bayesian hierarchical model for quantitative and qualitative responses L Kang, X Kang, X Deng, R Jin Journal of Quality Technology 50 (3), 290-308, 2018 | 26 | 2018 |
| D-optimal design for network A/B testing V Pokhilko, Q Zhang, L Kang Journal of Statistical Theory and Practice 13 (4), 1-23, 2019 | 23 | 2019 |
| Kernel approximation: From regression to interpolation L Kang, VR Joseph SIAM/ASA Journal on Uncertainty Quantification 4 (1), 112-129, 2016 | 23 | 2016 |
| Design and modeling strategies for mixture-of-mixtures experiments L Kang, V Roshan Joseph, WA Brenneman Technometrics 53 (2), 125-136, 2011 | 21 | 2011 |
| A GENERAL CONSTRUCTION FOR SPACE-FILLING LATIN HYPERCUBES CD Lin, L Kang Statistica Sinica 26, 675-690, 2016 | 18 | 2016 |
| Locally optimal design for a/b tests in the presence of covariates and network dependence Q Zhang, L Kang Technometrics 64 (3), 358-369, 2022 | 15 | 2022 |
| Comparing the slack-variable mixture model with other alternatives L Kang, JC Salgado, WA Brenneman Technometrics 58 (2), 255-268, 2016 | 15 | 2016 |
| Product defect rate confidence bound with attribute and variable data L Kang, WA Brenneman Quality and Reliability Engineering International 27 (3), 353-368, 2011 | 13 | 2011 |
| Bayesian optimal blocking of factorial designs M Ai, L Kang, VR Joseph Journal of statistical planning and inference 139 (9), 3319-3328, 2009 | 11 | 2009 |
| Bayesian D-Optimal Design of Experiments with Quantitative and Qualitative Responses L Kang, X Deng, R Jin The New England Journal of Statistics in Data Science, 2023 | 10* | 2023 |
| Covariate balancing based on kernel density estimates for controlled experiments Y Li, L Kang, X Huang Statistical Theory and Related Fields 5 (2), 102-113, 2021 | 9 | 2021 |
| Is a transformed low discrepancy design also low discrepancy? Y Li, L Kang, FJ Hickernell Contemporary Experimental Design, Multivariate Analysis and Data Mining …, 2020 | 9 | 2020 |
| Sampling constrained continuous probability distributions: A review S Lan, L Kang Wiley Interdisciplinary Reviews: Computational Statistics 15 (6), e1608, 2023 | 8 | 2023 |
Xinwei DengProfessor of Statistics, Virginia TechVerified email at vt.edu
