Year |
Citation |
Score |
2020 |
Fang G, Pan R, Hong Y. Copula-based reliability analysis of degrading systems with dependent failures Reliability Engineering & System Safety. 193: 106618. DOI: 10.1016/J.Ress.2019.106618 |
0.369 |
|
2020 |
Sun H, Pedrielli G, Zhao G, Zhou C, Xu W, Pan R. Cyber coordinated simulation for distributed multi-stage additive manufacturing systems Journal of Manufacturing Systems. 57: 61-71. DOI: 10.1016/J.Jmsy.2020.07.017 |
0.305 |
|
2019 |
Zhao X, Pan R, Castillo Ed, Xie M. An adaptive two-stage Bayesian model averaging approach to planning and analyzing accelerated life tests under model uncertainty Journal of Quality Technology. 51: 181-197. DOI: 10.1080/00224065.2019.1571333 |
0.362 |
|
2019 |
Mancenido MV, Pan R, Montgomery DC, Anderson-Cook CM. Comparing D-optimal designs with common mixture experimental designs for logistic regression Chemometrics and Intelligent Laboratory Systems. 187: 11-18. DOI: 10.1016/J.Chemolab.2019.02.003 |
0.332 |
|
2018 |
Subramaniyan AB, Pan R, Kuitche J, TamizhMani G. Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data-Driven Modeling Method Ieee Journal of Photovoltaics. 8: 1289-1296. DOI: 10.1109/Jphotov.2018.2850527 |
0.315 |
|
2018 |
Lee D, Pan R. A nonparametric Bayesian network approach to assessing system reliability at early design stages Reliability Engineering & System Safety. 171: 57-66. DOI: 10.1016/J.Ress.2017.11.009 |
0.323 |
|
2018 |
Seo K, Pan R. Planning accelerated life tests with random effects of test chambers Applied Stochastic Models in Business and Industry. 34: 224-243. DOI: 10.1002/Asmb.2296 |
0.325 |
|
2017 |
Sanchez LM, Pan R. Obtaining Reliability Insights during a ProductâÂÂs Conceptual Design Process through Bayesian Network Modeling Industrial Engineering and Management. 6: 1-15. DOI: 10.4172/2169-0316.1000224 |
0.353 |
|
2017 |
Pan R, Yontay P. Reliability Assessment of Hierarchical Systems With Incomplete Mixed Data Ieee Transactions On Reliability. 66: 1036-1047. DOI: 10.1109/Tr.2017.2760802 |
0.329 |
|
2017 |
Chen Z, Pan R, Cui L. An economic off-line quality control approach for unstable production processes Quality Engineering. 29: 1-20. DOI: 10.1080/08982112.2017.1303070 |
0.313 |
|
2017 |
Nasir EA, Pan R. Simulation-based Bayesian optimal design for multi-factor accelerated life tests Communications in Statistics - Simulation and Computation. 46: 980-993. DOI: 10.1080/03610918.2014.988253 |
0.332 |
|
2017 |
Lee D, Pan R. Predictive maintenance of complex system with multi-level reliability structure International Journal of Production Research. 55: 4785-4801. DOI: 10.1080/00207543.2017.1299947 |
0.3 |
|
2017 |
Wang L, Pan R, Wang X, Fan W, Xuan J. A Bayesian reliability evaluation method with different types of data from multiple sources Reliability Engineering & System Safety. 167: 128-135. DOI: 10.1016/J.Ress.2017.05.039 |
0.342 |
|
2016 |
Lian Z, Pan R, Wang J. Microencapsulation of norfloxacin in chitosan/chitosan oligosaccharides and its application in shrimp culture. International Journal of Biological Macromolecules. PMID 27456120 DOI: 10.1016/j.ijbiomac.2016.07.074 |
0.378 |
|
2016 |
Saleh M, Kao MH, Pan R. Design D-optimal event-related functional magnetic resonance imaging experiments Journal of the Royal Statistical Society. Series C: Applied Statistics. DOI: 10.1111/Rssc.12151 |
0.319 |
|
2016 |
King CB, Hong Y, Dehart SP, Defeo PA, Pan R. Planning Fatigue Tests for Polymer Composites Journal of Quality Technology. 48: 227-245. DOI: 10.1080/00224065.2016.11918163 |
0.32 |
|
2016 |
Steiner S, Mancenido M, Pan R, Montgomery D. Analysis of Subjective Ordinal Responses in Mixture Experiments Journal of Quality Technology. 48: 196-208. DOI: 10.1080/00224065.2016.11918159 |
0.494 |
|
2016 |
Yontay P, Pan R. A computational Bayesian approach to dependency assessment in system reliability Reliability Engineering and System Safety. 152: 104-114. DOI: 10.1016/J.Ress.2016.03.005 |
0.332 |
|
2015 |
Seo K, Pan R. ALTopt: An R package for optimal experimental design of accelerated life testing R Journal. 7: 177-188. DOI: 10.32614/Rj-2015-029 |
0.379 |
|
2015 |
Pan R, Yang T, Seo K. Planning Constant-Stress Accelerated Life Tests for Acceleration Model Selection Ieee Transactions On Reliability. DOI: 10.1109/Tr.2015.2421514 |
0.4 |
|
2015 |
Saleh M, Pan R. A clustering-based coordinate exchange algorithm for generating G-optimal experimental designs Journal of Statistical Computation and Simulation. DOI: 10.1080/00949655.2015.1077252 |
0.309 |
|
2015 |
Zhuang X, Pan R, Du X. Enhancing Product Robustness in Reliability-Based Design Optimization Reliability Engineering & System Safety. 138: 145-153. DOI: 10.1016/J.Ress.2015.01.026 |
0.368 |
|
2015 |
Nasir EA, Pan R. Simulation-based Bayesian optimal ALT designs for model discrimination Reliability Engineering and System Safety. 134: 1-9. DOI: 10.1016/J.Ress.2014.10.002 |
0.387 |
|
2014 |
Zhuang X, Pan R, Sun Q. Sequential optimization with particle splitting-based reliability assessment for engineering design under uncertainties Engineering Optimization. 46: 1074-1093. DOI: 10.1080/0305215X.2013.823195 |
0.336 |
|
2014 |
Pan R, Yang T. Design and Evaluation of Accelerated Life Testing Plans with Dual Objectives Journal of Quality Technology. 46: 114-126. DOI: 10.1080/00224065.2014.11917957 |
0.336 |
|
2013 |
Yang T, Pan R. A novel approach to optimal accelerated life test planning with interval censoring Ieee Transactions On Reliability. 62: 527-536. DOI: 10.1109/Tr.2013.2257053 |
0.404 |
|
2013 |
Wang L, Pan R, Li X, Jiang T. A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information Reliability Engineering & System Safety. 112: 38-47. DOI: 10.1016/J.Ress.2012.09.015 |
0.335 |
|
2012 |
Zhuang X, Pan R. A sequential sampling strategy to improve reliability-based design optimization with implicit constraint functions Journal of Mechanical Design, Transactions of the Asme. 134. DOI: 10.1115/1.4005597 |
0.337 |
|
2012 |
Rigdon SE, Englert BR, Lawson IA, Borror CM, Montgomery DC, Pan R. Experiments for reliability achievement Quality Engineering. 25: 54-72. DOI: 10.1080/08982112.2013.733611 |
0.306 |
|
2012 |
Wang R, Xu X, Pan R, Sha N. On parameter inference for step-stress accelerated life test with geometric distribution Communications in Statistics - Theory and Methods. 41: 1796-1812. DOI: 10.1080/03610926.2010.551455 |
0.341 |
|
2012 |
Lee J, Pan R. A GLM approach to step-stress accelerated life testing with interval censoring Journal of Statistical Planning and Inference. 142: 810-819. DOI: 10.1016/J.Jspi.2011.09.015 |
0.354 |
|
2012 |
Lee J, Pan R. Bayesian analysis of step-stress accelerated life test with exponential distribution Quality and Reliability Engineering International. 28: 353-361. DOI: 10.1002/Qre.1251 |
0.338 |
|
2011 |
Sanchez LM, Pan R. An enhanced parenting process: Predicting reliability in product's design phase Quality Engineering. 23: 378-387. DOI: 10.1080/08982112.2011.603110 |
0.34 |
|
2011 |
Monroe EM, Pan R, Anderson-Cook CM, Montgomery DC, Borror CM. A generalized linear model approach to designing accelerated life test experiments Quality and Reliability Engineering International. 27: 595-607. DOI: 10.1002/Qre.1143 |
0.39 |
|
2011 |
Pan R, Crispin T. A hierarchical modeling approach to accelerated degradation testing data analysis: A case study Quality and Reliability Engineering International. 27: 229-237. DOI: 10.1002/Qre.1100 |
0.336 |
|
2010 |
Huang S, Pan R, Li J. A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures Ieee Transactions On Reliability. 59: 650-660. DOI: 10.1109/Tr.2010.2055970 |
0.314 |
|
2010 |
Lee J, Pan R. Analyzing step-stress accelerated life testing data using generalized linear models Iie Transactions (Institute of Industrial Engineers). 42: 589-598. DOI: 10.1080/07408170903459976 |
0.334 |
|
2010 |
Monroe EM, Pan R, Anderson-Cook CM, Montgomery DC, Borror CM. Sensitivity analysis of optimal designs for accelerated life testing Journal of Quality Technology. 42: 121-135. DOI: 10.1080/00224065.2010.11917811 |
0.328 |
|
2010 |
Guo H, Liao H, Pan R, Aron A, Mettas A. Pathological behaviors of fisher confidence bounds for Weibull distribution Computers and Industrial Engineering. 58: 717-728. DOI: 10.1016/J.Cie.2010.02.001 |
0.312 |
|
2009 |
Pan R. A bayes approachto reliability prediction utilizing data from accelerated life test sand field failure observations Quality and Reliability Engineering International. 25: 229-240. DOI: 10.1002/Qre.964 |
0.343 |
|
2008 |
Monroe EM, Pan R. Experimental Design Considerations for Accelerated Life Tests with Nonlinear Constraints and Censoring Journal of Quality Technology. 40: 355-367. DOI: 10.1080/00224065.2008.11917742 |
0.379 |
|
2006 |
Zhao W, Pan R, Aron A, Mettas A. Some properties of confidence bounds on reliability estimation for parts under varying stresses Ieee Transactions On Reliability. 55: 7-17. DOI: 10.1109/Tr.2005.858091 |
0.323 |
|
2004 |
Colosimo BM, Pan R, Castillo Ed. A Sequential Markov Chain Monte Carlo Approach to Set-up Adjustment of a Process over a Set of Lots Journal of Applied Statistics. 31: 499-520. DOI: 10.1080/02664760410001681765 |
0.355 |
|
2003 |
Castillo Ed, Pan R, Colosimo BM. Small Sample Performance of Some Statistical Setup Adjustment Methods Communications in Statistics - Simulation and Computation. 32: 923-941. DOI: 10.1081/Sac-120017868 |
0.321 |
|
2003 |
Pan R, Del Castillo E. Scheduling methods for the statistical setup adjustment problem International Journal of Production Research. 41: 1467-1481. DOI: 10.1080/0020754031000065142 |
0.349 |
|
2003 |
Pan R, Del Castillo E. Integration of sequential process adjustment and process monitoring techniques Quality and Reliability Engineering International. 19: 371-386. DOI: 10.1002/Qre.590 |
0.324 |
|
2001 |
Pan R, Wysk RA, Chandra MJ. A Statistical Approach to Process Planning Journal of Design and Manufacturing Automation. 1: 37-46. DOI: 10.1080/15320370108500215 |
0.326 |
|
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