54(top 10%)
PR articles
349(top 50%)
PR citations
9(top 20%)
PR h-index
10(top 20%)
h-index
61
documents
440
doc citations
90
citing journals
97
times ranked

Publications

60 PR articles • 427 PR citations • Sorted by year • Download PDF (PDF by citations)
Sort: Year | Citations
#ArticleIFCitationsLinks
1Robust estimation for semiparametric spatial autoregressive models via weighted composite quantile regression1.32Citations (PDF)
2Orthogonality-projection-based penalized variable selection for high-dimensional partially linear models4.60Citations (PDF)
3The adaptive elastic net variable selection for linear mixed effects models based on the orthogonal projection1.30Citations (PDF)
4Orthogonal Weighted Empirical Likelihood Test for ARCH-M Models with Double Functional Coefficients0.80Citations (PDF)
5Orthogonal projection based variable selection for semiparametric spatial autoregressive models1.35Citations (PDF)
6Robust estimation with exponential squared loss for partially linear panel data model with fixed effects1.32Citations (PDF)
7Orthogonality based modal empirical likelihood inferences for partially nonlinear models
AIMS Mathematics, 2024, 9, 18117-18133
1.50Citations (PDF)
8Robust variable selection with exponential squared loss for linear mixed-effects models
Metrika, 2024, 88, 981-1007
0.71Citations (PDF)
9Empirical likelihood based heteroscedasticity diagnostics for varying coefficient partially nonlinear models
AIMS Mathematics, 2024, 9, 34705-34719
1.50Citations (PDF)
10Orthogonality based penalized GMM estimation for variable selection in partially linear spatial autoregressive models1.38Citations (PDF)
11Modified see variable selection for linear instrumental variable regression models1.30Citations (PDF)
12Adjusted empirical likelihood inferences for varying coefficient partially non linear models with endogenous covariates1.34Citations (PDF)
13Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random
Computational Statistics, 2022, 37, 1727-1750
1.01Citations (PDF)
14Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses1.12Citations (PDF)
15Statistical inferences for varying coefficient partially non linear model with missing covariates1.36Citations (PDF)
16Empirical likelihood for varying coefficient partially nonlinear model with missing responses
AIMS Mathematics, 2021, 6, 7125-7152
1.54Citations (PDF)
17An empirical likelihood check with varying coefficient fixed effect model with panel data0.53Citations (PDF)
18Weighted empirical likelihood inferences for a class of varying coefficient ARCH-M models0.80Citations (PDF)
19Empirical likelihood based estimation for a class of functional coefficient ARCH-M models1.31Citations (PDF)
20A new orthogonality empirical likelihood for varying coefficient partially linear instrumental variable models with longitudinal data1.38Citations (PDF)
21Empirical likelihood based inference for varying coefficient panel data models with fixed effect1.30Citations (PDF)
22Regularization statistical inferences for partially linear models with high dimensional endogenous covariates0.53Citations (PDF)
23A new orthogonality-based estimation for varying-coefficient partially linear models0.57Citations (PDF)
24Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data1.67Citations (PDF)
25Instrumental variable based variable selection for generalized linear models with endogenous covariates1.32Citations (PDF)
26Robust empirical likelihood for partially linear models via weighted composite quantile regression
Computational Statistics, 2018, 33, 659-674
1.07Citations (PDF)
27Orthogonal weighted empirical likelihood-based variable selection for semiparametric instrumental variable models1.37Citations (PDF)
28Quickly variable selection for varying coefficient models with missing response at random1.34Citations (PDF)
29Tests for the linear hypothesis in semi-functional partial linear regression models
Metrika, 2018, 82, 125-148
0.72Citations (PDF)
30Instrumental variable based SEE variable selection for Poisson regression models with endogenous covariates2.14Citations (PDF)
31Structure identification for varying coefficient models with measurement errors based on kernel smoothing
Statistical Papers, 2018, 61, 1841-1857
0.96Citations (PDF)
32Empirical likelihood inference in partially linear single-index models with endogenous covariates1.36Citations (PDF)
33QR decomposition based orthogonality estimation for partially linear models with longitudinal data2.316Citations (PDF)
34Empirical likelihood inferences for varying coefficient partially nonlinear models1.613Citations (PDF)
35Imputation based statistical inference for partially linear quantile regression models with missing responses
Metrika, 2016, 79, 991-1009
0.710Citations (PDF)
36Estimation and inference for additive partially nonlinear models0.51Citations (PDF)
37Estimation for Partially Linear Single-index Instrumental Variables Models1.37Citations (PDF)
38Penalized Empirical Likelihood based Variable Selection for Partially Linear Quantile Regression Models with Missing Responses0.00Citations (PDF)
39Semiparametric empirical likelihood tests in varying coefficient partially linear models with repeated measurements
Statistical Methodology, 2015, 23, 73-87
0.73Citations (PDF)
40Semiparametric variable selection for partially varying coefficient models with endogenous variables
Computational Statistics, 2015, 31, 693-707
1.09Citations (PDF)
41Empirical likelihood for parameters in an additive partially linear errors-in-variables model with longitudinal data0.57Citations (PDF)
42Empirical likelihood for composite quantile regression modeling2.19Citations (PDF)
43Instrumental variable type estimation for generalized varying coefficient models with error-prone covariates0.40Citations (PDF)
44Empirical likelihood inferences for semiparametric instrumental variable models2.114Citations (PDF)
45Instrumental variable-based empirical likelihood inferences for varying-coefficient models with error-prone covariates1.64Citations (PDF)
46Modified SEE variable selection for varying coefficient instrumental variable models
Statistical Methodology, 2013, 12, 60-70
0.716Citations (PDF)
47Empirical Likelihood for Nonparametric Components in Additive Partially Linear Models1.35Citations (PDF)
48Imputed Empirical Likelihood for Varying Coefficient Models with Missing Covariates0.40Citations (PDF)
49Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
Journal of Multivariate Analysis, 2010, 101, 1872-1883
1.679Citations (PDF)
50Empirical Likelihood Inferences for Semiparametric Varying-Coefficient Partially Linear Models with Longitudinal Data1.323Citations (PDF)
51Variable selection for varying coefficient models with measurement errors
Metrika, 2010, 74, 231-245
0.712Citations (PDF)
52Variable selection in semiparametric regression analysis for longitudinal data0.520Citations (PDF)
53Empirical likelihood inferences for semiparametric varying-coefficient partially linear errors-in-variables models with longitudinal data0.835Citations (PDF)
54Variable selection for semiparametric varying coefficient partially linear models0.660Citations (PDF)
55Double penalized regularization estimation for partially linear instrumental variable models with ultrahigh dimensional instrumental variables1.31Citations (PDF)
56Robust Estimation and Variable Selection for Partially Linear Panel Data Models with Fixed Effects0.80Citations (PDF)
57Empirical likelihood based tests for the linear hypothesis in partially linear spatial autoregressive models1.31Citations (PDF)
58Robust empirical likelihood for varying coefficient partially linear EV models with general measurement error structure1.30Citations (PDF)
59Variable selection in high-dimensional varying coefficient panel data models with fixed effects0.81Citations (PDF)
60Calibrated empirical likelihood for single-index varying coefficient spatial autoregressive models0.90Citations (PDF)