| Condition-based maintenance for continuously monitored degrading systems with multiple failure modes X Liu, J Li, KN Al-Khalifa, AS Hamouda, DW Coit, EA Elsayed IIE Transactions, 2012 | 183 | 2012 |
| Modeling and Planning of Step-Stress Accelerated Life Tests With Independent Competing Risks X Liu, WS Qiu IEEE Transactions on Reliability 60 (4), 712, 2011 | 66 | 2011 |
| Planning of Accelerated Life Tests With Dependent Failure Modes Based on a Gamma Frailty Model X Liu Technometrics 54 (4), 398-409, 2012 | 53 | 2012 |
| A Bayesian optimal design for accelerated degradation tests X Liu, LC Tang Quality and Reliability Engineering International 26 (8), 863-875, 2010 | 48 | 2010 |
| Criticality measures for components with multi-dimensional degradation X Liu, KN Al-Khalifa, EA Elsayed, DW Coit, AS Hamouda Iie Transactions 46 (10), 987-998, 2014 | 38 | 2014 |
| Planning and Inference for a Sequential Accelerated Life Test LC Tang, X Liu Journal of quality technology 42 (1), 103-118, 2010 | 35 | 2010 |
| A statistical modeling approach for spatio-temporal degradation data X Liu, K Yeo, J Kalagnanam Journal of Quality Technology 50 (2), 166-182, 2018 | 34* | 2018 |
| Accelerated life test plans for repairable systems with multiple independent risks X Liu, LC Tang IEEE Transactions on Reliability 59 (1), 115-127, 2010 | 33 | 2010 |
| Planning sequential constant-stress accelerated life tests with stepwise loaded auxiliary acceleration factor X Liu, LC Tang Journal of Statistical Planning and Inference 140 (7), 1968-1985, 2010 | 29 | 2010 |
| Reliability analysis and spares provisioning for repairable systems with dependent failure processes and a time-varying installed base X Liu, LC Tang IIE Transactions 48 (1), 43-56, 2016 | 24 | 2016 |
| A sequential constant‐stress accelerated life testing scheme and its Bayesian inference X Liu, LC Tang Quality and Reliability Engineering International 25 (1), 91-109, 2009 | 22 | 2009 |
| A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling X Liu, K Yeo, Y Hwang, J Singh, J Kalagnanam The Annals of Applied Statistics 10 (2), 756 - 785, 2016 | 21 | 2016 |
| Multitask learning radiomics on longitudinal imaging to predict survival outcomes following risk-adaptive chemoradiation for non-small cell lung cancer P Forouzannezhad, D Maes, DS Hippe, P Thammasorn, R Iranzad, J Han, ... Cancers 14 (5), 1228, 2022 | 20 | 2022 |
| Statistical modeling for spatio-temporal data from stochastic convection-diffusion processes X Liu, K Yeo, S Lu Journal of the American Statistical Association 117 (539), 1482-1499, 2022 | 19 | 2022 |
| A spatio-temporal modeling framework for weather radar image data in tropical southeast Asia X Liu, V Gopal, J Kalagnanam | 17 | 2018 |
| Evaluation of WRF model seasonal forecasts for tropical region of Singapore J Singh, K Yeo, X Liu, R Hosseini, JR Kalagnanam Advances in Science and Research 12 (1), 69-72, 2015 | 16 | 2015 |
| Degradation under dynamic operating conditions: Modeling, competing processes and applications M Hajiha, X Liu, Y Hong Journal of Quality Technology 53 (4), 347-368, 2021 | 15 | 2021 |
| Analysis of large heterogeneous repairable system reliability data with static system attributes and dynamic sensor measurement in big data environment X Liu, R Pan Technometrics 62 (2), 206-222, 2020 | 12 | 2020 |
| Analysis of Reliability Experiments with Blocking X Liu, LC Tang Quality Technology and Quantitative Management 10 (2), 141-160, 2013 | 12 | 2013 |
| Voxel forecast for precision oncology: predicting spatially variant and multiscale cancer therapy response on longitudinal quantitative molecular imaging SR Bowen, DS Hippe, WA Chaovalitwongse, C Duan, P Thammasorn, ... Clinical Cancer Research 25 (16), 5027-5037, 2019 | 11 | 2019 |
Loon Ching TangProfessor of Industrial & Systems EngineeringVerified email at nus.edu.sg
