X. Wang, R. Ren, M. Kattan, L. Jehi, Z. Cheng, K*. Fang, Effects of Public Health Interventions on Hospital Utilization in Patients with COVID-19: a Comparative Study. JMIR Public Health and Surveillance. 2020
K. Fang, P. Wang, X. Zhang, Q. Zhang. Structured sparse support vector machine with features arranged in order. Journal of Applied Statistics. 2020
X. Zhang, Q. Zhang, S. Ma, K. Fang*. Conditional Score Matching for High-Dimensional Partial Graphical Models. Computational Statistics and Data Analysis. 2020
X. Zhang, Q. Zhang, X. Wang, S. Ma, K. Fang*. Structured sparse logistic regression with application to lung cancer prediction using breath volatile biomarkers. Statistics in Medicine. 2020
M. Liu, Q. Zhang, K. Fang, S. Ma.Structured Analysis of High-dimensional FMR Model.Computational Statistics and Data Analysis. 2020
K.Fang, X. Zhang, S.Ma, Q.Zhang. Smooth and locally sparse estimation for multiple-output functional linear regression. Journal of Statistical Computation and Simulation. 2020
X.Fan., K. Fang, S. Shuang, Q. Zhang. Integrating approximate Single factor graphical models. Statistics in Medicine. 2019
X.Fan, K.Fang, S.Ma, Q. Zhang. Assisted Graphical Model for Gene Expression Data Analysis. Statistics in Medicine. 2019
X. Wang, K. Fang, Q. Zhang, S. Ma. Network-incorporated Integrative Sparse Linear Discriminant Analysis. Statistics and its Interface. 2018
K.Fang, X. Fan, W. Lan B. Wang. Nonparametric Additive Beta Regression for Fractional Response with Application to Body Fat Data. Annals of Operation Research. 2018
K.Fang, X. Fan, Q. Zhang, S. Ma. Integrative sparse PCA for multi-datasets. Journal of Multivariate Analysis. 2018
M. Liu, X. Fan, K.Fang,Q. Zhang, S. Ma. Integrative Sparse Principal Component Analysis of Gene Expression Data with homogeneity sparsity structure.Genetic Epidemiology. 2017
M.Hong, L. Ye, L. Jin, Y. Ren, X. Yu, R. Zhang, K. Fang*, J. Pan*. Noninvasive scoring system for significant inflammation related to chronic hepatitis B. Scientific reports (Nature子刊). 2017
X. Fan, M. Liu, K. Fang, Y. Huang, S. Ma. Promoting Structural Effects of Covariates in the Cure Rate Model with Penalization. Statistical Methods in Medical Research (IF 4.63). 2016
K.Fang, S. Ma.Analyzing Large Datasets with Bootstrap penalization. Biometrical Journal. 2016
K. Fang, X. Wang, S. Ma. Identification of Proportionality Structure Two-part models Using Penalization. Computational Statistics and Data Analysis. 2016
K.Fang, Y. Jiang, M. Song, Customer profitability forecasting using Big Data Analytics: A case study of the insurance industry.Computers and industrial engineering. 2016
M.Song, K. Fang, J. Zhang, J. Wu. The co-movement between Chinese oil market and other main international oil markets. Computational Economics. 2016
W. Lan, Y. Ding, Z. Fang, K. Fang*. Testing covariates in high dimension regression with latent factors. Journal of Multivariate Analysis. 2015.11
K. Fang, J. Wu, C. Nguyen. The risk-return tradeoff in a liberalized emerging stock market: Evidence from Vietnam. Emerging Market of Finance and Trade. 2015
W. Lv, X. Hong, K. Fang*. Chinese regional energy efficiency evaluation based on super efficiency DEA model and malmquist index.Annals of Operation Research. 2015.5
K. Fang. Railway Transportation and Environmental Efficiency in China. Transportation Research Part D: Transport and Environment. 2015
K. Fang, X. Wang, S. Zhang, J. Zhu & S. Ma. Bi-level variable selection via adaptive sparse group Lasso.Journal of Statistical Computation and Simulation. 2014.
J. Zhu, K. Fang* . Amulti-stage chi-square test for measurement the degree of association intwo-way table.Communication in Statistics-Simulation and Computation . 2014
M. Hong, W. Huang, F.Min, J. Xu, Z. Lin, K. Fang*, JinshuiPan. Ehanced HBsAg Synthesis Correlates with Increased Severity ofFibrosis in Chronic Hepatitis B Patients. PLOS One. 2014 9(1) e87344
X. Wang, B. Hu, B.Wang and K. Fang. Bayesian Generalizedvarying coefficient models with errors-in-variables: An application to aneurophysiological study.Journal of Applied Statistics. 2014(2)
K. Fang*, S. Ma. Three-part Model for Fractional Response Variables withApplication to Chinese Household Health Insurance Coverage.Journal of Applied Statistics. 2013.40（05）
K. Fang C. Ma Y. Jiang L. Ye, B. Shia, S. Ma. Illness, MedicalExpenditure and Household Consumption :observations from Taiwan. BMC Public Health . 2013.08
K. Fang; Y.Jiang; B. Shia; S. Ma.Impact of illness and medical expenditure on household consumptions: a surveyin western China. PLoS ONE.
Gene network-based cancer prognosis analysis with sparse boosting. Genetics Research. 2012.04.
K. Fang, B. Shia and S. Ma. Health insurance coverage, medical expenditure and coping strategy:Evidence from Taiwan.BMC Health Services Research. 2012.12（422）
K. Fang, B.Shia, S. Ma. Health insurance coverage and impact: a survey in three cities in China. PLoS ONE. 2012.06.
Integrative Analysis of Multiple Cancer Prognosis Studies with Gene Expression Measurements. Statistics in Medicine. 2011.08.
Qian-GuoMao, Jin-shui, Pan, Kuangnan Fang（co-first author). Ru-mian Zhang et al. Precise Prediction Model and Simplified Scoring System for Sustained Combined Response to Interferon-alpha. World Journal of Gastroenterology. 2010.16(27).