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Yanghui Liu, Duck-chul Lee, Yehua Li, Weicheng Zhu, Riquan Zhang, XuemeiSui, Carl J. Lavie, Steven N. Blair. Associations of Resistance Exercise with CardiovascularDisease Morbidity and Mortality. Medicine & Science in Sports & Exercise, 2019, 51(3): 499-508（SCI）. DOI: 10.1249/MSS.0000000000001822
Wenchao Xu, Riquan Zhang, Hua Liang. Two-sample Functional Linear Models. Statistica Sinica, 2019, 29: 1891-1913（SCI）, doi: 10.5705/ss.202016.0459
Hanbing Zhu, Riquan Zhang, Zhou Yu, Heng Lian, Yanghui Liu.Estimation and Testing for Partially Functional Linear Errors-in-VariablesModels, Journal of Multivariate Analysis, 2019, 170: 296-314（SCI）. doi.org/10.1016/j.jmva.2018.11.005
Hui Ding, Riquan Zhang, Jian Zhang. Quantile estimation for ahybrid model of functional and varying coefficient regressions. Journal of Statistical Planning andInference, 2018, 196:1-18 （SCI）https://doi.org/10.1016/j.jspi.2017.10.005
Huapeng Li, Yang Liu, Yukun Liu and Riquan Zhang. Comparison ofempirical likelihood and its dual likelihood under density ratio model. Journal of Nonparametric Statistics. 2018,30(3): 581-597（SCI）. https://doi.org/10.1080/10485252.2018.1457790
Yong Niu, Riquan Zhang, Jicai Liu & Huapeng Li. Nonparametricindependence screening for ultra-high-dimensional longitudinal data underadditive models. Journal ofNonparametric Statistics, 2018, 30(4): 884-905, (SCI), DOI:10.1080/10485252.2018.1497797
Jianbo Li, Yuan Li, RiquanZhang. B spline variable selection for the single index models. StatisticalPapers, 2017, 58: 691-706 (SCI), DOI 10.1007/s00362-015-0721-z
Hui Ding, Yanghui Liu, WenchaoXu, Riquan Zhang. A class of functional partially linear single-index models.Journal of Multivariate Analysis, 2017, 161:68–82（SCI）, http://dx.doi.org/10.1016/j.jmva.2017.07.004
Weihua Zhao, Riquan Zhang,Yazhao Lv, Jicai Liu. Quantile regression and variable selection ofsingle-index coefficient model. Annals of the Institute of StatisticalMathematics. 2017, 69：761-789（SCI）, doi:10.1007/s10463-016-0558-9.
Hongmei Lin, Wenchao Xu, RiquanZhang, Jianhong Shi, Yuedong Wang. Multiple-index varying-coefficient modelsfor longitudinal data, Journal of Applied Statistics, 2017, 44(11): 1960-1978（SCI）, DOI:10.1080/02664763.2016.1238052
Yanghui Liu, Riquan Zhang,Hongmei Lin. Local estimation for longitudinal semiparametricvarying-coefficient partially linear model. Journal of the Korean StatisticalSociety, 2017, 46: 246-266（SCI）http://dx.doi.org/10.1016/j.jkss.2016.10.003
Hongmei Lin, Riquan Zhang,Jian-Hong Shi. Local Estimation for Varying-Coefficient Models withLongitudinal Data. Communications in Statistics- Theory and Methods,2017,46:15,7511-7528, （SCI）ID: 1154156 DOI:10.1080/03610926.2016.1154156
Zean Li, Weihua Zhao, RiquanZhang, Jicai Liu.Robust estimation for partially linear single-index model. Communicationsin Statistics- Theory and Methods,2017, 46(11): 5342-5356 （SCI）DOI:10.1080/03610926.2015.1100739
Hongmei Lin, Riquan Zhang,Wenchao Xu, Yuedong Wang.Estimating time-varying treatment switching effectsvia local linear smoothing and quasi-likelihood. Computational Statistics andData Analysis. 2017, 110:50-63（SCI）http://dx.doi.org/10.1016/j.csda.2016.12.012
Hongmei Lin, Riquan Zhang,Jianhong Shi, Yuedong Wang. Varying-coefficient single-index model forlongitudinal data. Statistics and Its Interface, 2017，10: 495-504 （SCI）doi.org/10.1080/10485252.2016.1191632
Zhensheng Huang, Riquan Zhang,Yazhao Lv. Semiparametric inference on partially linear single-index model.Communications in Statistics- Theory and Methods,2016, 45(14): 4068-4085 （SCI）ID:doi.org/10.1080/03610926.2014.915045
Hongmei Lin, Riquan Zhang,Jianhong Shi, Jicai Liu, Yanghui Liu. A new local estimation method for singleindex models for longitudinal data. Journal of Nonparametric Statistics, 2016，28(3): 644-658 （SCI）doi.org/10.1080/10485252.2016.1191632
Jicai Liu, Riquan Zhang, WeihuaZhao and Yazhao Lv. Variable selection in partially linear hazard regressionfor multivariate failure time data. Journal of Nonparametric Statistics, 2016，28(2): 375-394 （SCI）doi.org/10.1080/10485252.2016.1163355
Lu Yiqiang, Zhang Riquan, HuBin. The adaptive LASSO spline estimation of single-index model. Journal ofSystems Science and Complexity, 2016, 29(4):1100-1111 (SCI)
Weihua Zhao, Riquan Zhang,Yazhao Lv, Jicai Liu. Bayesian Regularized Regression Based on CompositeQuantile Method. Acta Mathematicae Applicatae Sinica, English Series, 2016,32(2): 495-512 （SCI）DOI: 10.1007/s10255-016-0579-4
Riquan Zhang, Yazhao Lv, WeihuaZhao, Jicai Liu. Composite quantile regression and variable selection insingle-index coefficient model. Journal of Statistical Planning and Inference,2016, 176:1-21 （SCI）http://dx.doi.org/10.1016/j.jspi.2016.04.003
Alan T. K. Wan, Jinhong You andRiquan Zhang. A Seemingly Unrelated Nonparametric Additive Model withAutoregressive Errors. Econometric Reviews, 2016, 35(5):894-928, (SSCI) DOI:10.1080/07474938.2014.998149
Jianbo Li, Yuan Li, ZhenshengHuang and Riquan Zhang. Empirical likelihood-based serial correlation testingin partially varying coefficient single-index models. Communication inStatistics- Theory and Methods, 2016, 45(15):4471-4485 （SCI）DOI:10.1080/03610926.2014.921306
Weihua Zhao, Heng Lian, RiquanZhang, Peng Lai. Estimation and variable selection for proportional responsedata with partially linear single-index models. Computational Statistics andData Analysis. 2016, 96:40-56（SCI）doi.org/10.1016/j.csda.2015.11.004
Junying Zhang, Riquan Zhang andZhiping Lu. Quantile-adaptive variable screening in ultra-high dimensionalvarying coefficient models. Journal of Applied Statistics, 2016, 43(4):643-654 （SCI） DOI: 10.1080/02664763.2015.1072141
Jianbo Li, Minglong Guo,Changxin Du, Riquan Zhang,Heng Lian. Empirical likelihood for the class ofsingle index hazard regression models. Journal of the Korean StatisticalSociety, 2015, 44:619-631（SCI）doi.org/10.1016/j.jkss.2015.04.002
Jicai Liu, Riquan Zhang, WeihuaZhao and Yazhao Lv. Variable selection in semiparametric hazard regression formultivariate survival data. Journal of Multivariate Analysis, 2015, 142: 26-40(SCI)doi.org/10.1016/j.jmva.2015.07.015
Weihua Zhao, Riquan Zhang, YukunLiu and Jicai Liu. Empirical likelihood based modal regression, StatisticalPapers, 2015, 56: 411-530 (SCI) DOI 10.1007/s00362-014-0588-4
Weihua Zhao, Riquan Zhang,Yazhao Lv, Jicai Liu. Variable Selection of Varying Dispersion Student-tRegression Models. Journal of Systems Science and Complexity, 2015, 28:961-977,(SCI) DOI: 10.1007/s11424-014-2223-9
Weihua Zhao, Riquan Zhang, JicaiLiu and Hongchang Hu. Robust adaptive estimation for semivarying coefficientmodels. Statistics and probability letters, 2015, 97: 132-141（SCI）http://dx.doi.org/10.1016/j.spl.2014.11.015
Yazhao Lv, Riquan Zhang, WeihuaZhao and Jicai Liu. Quantile regression and variable selection of partiallinear single-index model. Annals of the Institute of Statistical Mathematics,2015,67:375-409 （SCI）DOI 10.1007/s10463-014-0457-x
Jingyan Feng, Riquan Zhang,Yiqiang Lu. Inference on Varying-Coefficient Partially Linear Regression Model.Acta Mathematicae Applicatae Sinica, English Series. 2015, 31(1): 139–156 （SCI） DOI: 10.1007/s10255-015-0457-5
Jianbo Li, Yuanyuan Wang,Zhensheng Huang, Riquan Zhang and Lin Liu.Testing Serial Correlation in SingleIndex Models. Communication in Statistics-Simulation and Computation, 2015,44:1020-1035 （SCI） DOI: 10.1080/03610918.2013.800878
Weihua Zhao, Riquan Zhang, JicaiLiu, Yazhao Lv. Semi-varying coefficient zero-inflated generalized Poissonregression model. Communications in Statistics - Theory and Methods, 2015,44:171-185 (SCI) DOI: 10.1080/03610926.2012.735325
Weihua Zhao, Riquan Zhang, JicaiLiu, Zhensheng Huang and Yazhao Lv. Generalized varying-coefficientsingle-index model. Statistics, 2014, 48(6): 1311–1323 (SCI) doi.org/10.1080/02331888.2013.858719
Weihua Zhao, Riquan Zhang, JicaiLiu, Yazhao Lv. Robust and efficient variable selection for semiparametricpartially linear varying coefficient model based on modal regression. Annals ofthe Institute of Statistical Mathematics, 2014, 66: 165-191 （SCI）DOI10.1007/s10463-013-0410-4
Weihua Zhao, Riquan Zhang,Yazhao Lv and Jicai Liu. Variable selection for varying dispersion betaregression model. Journal of Applied Statistics, 2014, 41(1): 95-108 （SCI）doi.org/10.1080/02664763.2013.830284
Jianbo Li, Minggao Gu, RiquanZhang and Heng Lian. Variable selection for general transformation models withranking data. Statistics, 2014, 48(1): 81–100 (SCI) doi.org/10.1080/02331888.2012.708034
Jicai Liu, Riquan Zhang andWeihua Zhao. Hierarchically penalized additive hazards model with divergingnumber of parameters. Science China Mathematics，2014, 57（4）：873-886（SCI）doi:10.1007/s11425-013-4679-9
Weihua Zhao, Riquan Zhang andJicai Liu. Sparse group variable selection based on quantile hierarchicalLasso. Journal of Applied Statistics, 2014, 41(8): 1658-1677 （SCI）doi.org/10.1080/02664763.2014.888541
Yazhao Lv, Riquan Zhang, WeihuaZhao and Jicai Liu. Quantile regression and variable selection for thesingle-index model. Journal of Applied Statistics, 2014, 41(7): 1565-1577 （SCI）doi.org/10.1080/02664763.2014.881786
Weihua Zhao, Riquan Zhang andJicai Liu. Regularization and model selection for quantile varying coefficientmodel with categorical effect modifiers. Computational Statistics and DataAnalysis. 2014, 79:44-62（SCI）doi.org/10.1016/j.csda.2014.05.003
Lin Liu, Jianbo Li and RiquanZhang. General partially linear additive transformation model withright-censored data. Journal of Applied Statistics, 2014, 41(10): 2257-2269（SCI）doi.org/10.1080/02664763.2014.909788
Wenli Deng, Zukang Zheng andRiquan Zhang. Nonparametric Regression with Interval-Censored Data. ActaMathematica Sinica, English Series. 2014, 30(8):1422-1434 （SCI）DOI:10.1007/s10114-014-0729-7
Riquan Zhang, Weihua Zhao, JicaiLiu. Robust estimation and variable selection for semiparametric partiallylinear varying coefficient model based on modal regression. Journal ofNonparametric Statistics, 2013，25(2): 523-544 （SCI）
Huang Zhensheng, Zhang Riquan.Profile empirical-likelihood inferences for the single-index-coefficientregression model. Statistics and Computing, 2013, 23: 455-465 （SCI）
Weihua Zhao, Riquan Zhang,Yazhao Lv and Jicai Liu.Variable selection of the quantile varying coefficientregression models. Journal of the Korean Statistical Society, 2013, 42:343-358（SCI）
Zhensheng Huang, Zhen Pang,Riquan Zhang. Adaptive profile-empirical-likelihood inferences for generalizedsingle-index models. Computational Statistics and Data Analysis. 2013, 62:70-82（SCI）
Pengcheng Chen, Jiajia Zhang, RiquanZhang. Estimation of the accelerated failure time frailty model undergeneralized gamma frailty. Computational Statistics and Data Analysis. 2013,62:171-180（SCI）
Jianbo Li, Minggao Gu, RiquanZhang. Variable selection for general transformation models with right censoreddata via nonconcave penalties. Journal of Multivariate Analysis, 2013, 115:445-456 (SCI)
Heung Wong, Riquan Zhang,Bartholomew Leung, Zhensheng Huang. Testing the significance of indexparameters in varying-coefficient single-index models. Computational Statisticsand Data Analysis. 2013, 57:297-308（SCI）
Jicai Liu, Riquan Zhang, WeihuaZhao and Yazhao Lv. A robust and efficient estimation method for single indexmodels. Journal of Multivariate Analysis, 2013, 122: 226-238 (SCI)doi.org/10.1016/j.jmva.2013.08.007
Weihua Zhao, Riquan Zhang andJicai Liu. Robust variable selection for the varying coefficient model based oncomposite L1–L2regression. Journal of Applied Statistics, 2013, 40(9): 2024-2041 （SCI）doi.org/10.1080/02664763.2013.804040
Yazhao Lv, Riquan Zhang andZhensheng Huang. Estimation of Semi-Varying Coefficient Model with SurrogateData and Validation Sampling. Acta Mathematicae Applicatae Sinica, EnglishSeries. 2013, 29(3):645-660 （SCI）DOI: 10.1007/s10255-013-0241-3
Jingyan Feng and Riquan Zhang.Inference On Coefficient Function For Varying-Coefficient Partially LinearModel. Journal of Systems Science and Complexity, 2012, 25:1143-1157(SCI) DOI:10.1007/s11424-012-0324-x
Huang Zhensheng & ZhangRiquan.Testing for the parametric parts in a single-index varying-coefficientmodel. Science in China(A)，2012, 55（5）：1017-1028（SCI）
Jianbo Li and Riquan Zhang.General partially linear varying-coefficient transformation model with rightcensored data. Journal of Statistical Planning and Inference, 2012, 142:1285-1293 （SCI）
Jinyan Feng, Zhensheng Huang,and Riquan Zhang. Estimation on Varying-Coefficient Partially Linear Model WithDifferent Smoothing Variables. Communication in Statistics-Theory and Methods,2012, 41:516-529 （SCI）Zhao Weihua, Zhang Riquan, Huang Zhensheng, Feng Jingyan. Partiallylinear single-index beta regression model and score test. Journal ofMultivariate Analysis, 2012, 103: 116-123 (SCI)
Yazhao Lv, Riquan Zhang andZhensheng Huang. Nonparametric estimation of varying coefficienterror-in-variable models with validation sampling. Journal of StatisticalPlanning and Inference, 2011, 141: 3323-3344 （SCI）
Huang Zhensheng & ZhangRiquan. Efficient Empirical-Likelihood-Based Inferences for the Single-IndexModels. Journal of Multivariate Analysis, 2011, 102: 937-947 (SCI)
Jianbo Li and Riquan Zhang.Partially Varying Coefficient Single Index Proportional Hazards RegressionModels. Computational Statistics and Data Analysis. 2011, 55:389-400（SCI）
Bratholomew Leung, Heung Wong,Riquan Zhang and Shengtong Han. Smoothing Spline Estimation for PartiallyLinear Single-index Models. Communication in Statistics-Simulation andComputation, 2010, 39:1953-1961 （SCI）
Zhensheng Huang and RiquanZhang. Empirical Likelihood for the Varying-Coefficient Single-index Model. CanadianJournal of Statistics, 2010,38(3): 434-452(SCI)
Riquan Zhang, Zhensheng Huangand Yazhao Lv. Statistical inference for the index parameter in single-indexmodels. Journal of Multivariate Analysis,2010, 101: 1026-1041(SCI)
Zhensheng Huang and RiquanZhang. Tests for Varying-Coefficient Parts on Varying-Coefficient Single-indexModel. Journal of the Korean Mathematical Society, 2010,47(2): 385-407(SCI)
Jianbo Li and Riquan Zhang.Penalized Spline Varying-Coefficient Single Index Model. Communication inStatistics-Simulation and Computation, 2010, 39:221-239 （SCI）
Zhensheng Huang, Zhangong Zhou,Rong Jiang, Weimin Qian and Riquan Zhang. Empirical Likelihood Based InferenceFor Semiparametric Varying Coefficient Partially Linear Models With Error-proneLinear Covariates. Statistics and probability letters, 2010, 80: 497-504 （SCI）
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