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2020 – today
- 2025
[j23]Yuanxing Chen, Kuangnan Fang, Wei Lan, Chih-Ling Tsai, Qingzhao Zhang:
Community influence analysis in social networks. Comput. Stat. Data Anal. 202: 108037 (2025)- 2024
- [j22]Xinyan Fan, Kuangnan Fang, Dan Pu
, Ruixuan Qin:
Generalized latent space model for one-mode networks with awareness of two-mode networks. Comput. Stat. Data Anal. 193: 107915 (2024) - [j21]Yuanxing Chen, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang:
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis. J. Mach. Learn. Res. 25: 211:1-211:60 (2024) - 2023
- [j20]Rui Ren, Kuangnan Fang, Qingzhao Zhang, Shuangge Ma:
FunctanSNP: an R package for functional analysis of dense SNP data (with interactions). Bioinform. 39(12) (2023) - 2022
- [j19]Kuangnan Fang, Rui Ren, Qingzhao Zhang, Shuangge Ma:
iSFun: an R package for integrative dimension reduction analysis. Bioinform. 38(11): 3134-3135 (2022) - [j18]Kuangnan Fang, Yuanxing Chen, Shuangge Ma, Qingzhao Zhang:
Biclustering analysis of functionals via penalized fusion. J. Multivar. Anal. 189: 104874 (2022) - [j17]Xiaochen Zhang, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang:
Subgroup analysis for high-dimensional functional regression. J. Multivar. Anal. 192: 105100 (2022) - 2021
- [j16]Xinyan Fan, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang:
Conditional score matching for high-dimensional partial graphical models. Comput. Stat. Data Anal. 153: 107066 (2021) - 2020
- [j15]Mengque Liu, Qingzhao Zhang, Kuangnan Fang, Shuangge Ma:
Structured analysis of the high-dimensional FMR model. Comput. Stat. Data Anal. 144: 106883 (2020)
2010 – 2019
- 2019
- [j14]Kuangnan Fang, Xinyan Fan, Wei Lan, Bingquan Wang:
Nonparametric additive beta regression for fractional response with application to body fat data. Ann. Oper. Res. 276(1-2): 331-347 (2019) - 2018
- [j13]Kuangnan Fang, Xinyan Fan, Qingzhao Zhang, Shuangge Ma:
Integrative sparse principal component analysis. J. Multivar. Anal. 166: 1-16 (2018) - 2016
- [j12]Kuangnan Fang, Yefei Jiang, Malin Song:
Customer profitability forecasting using Big Data analytics: A case study of the insurance industry. Comput. Ind. Eng. 101: 554-564 (2016) - [j11]Kuangnan Fang, Xiaoyan Wang, Ben-Chang Shia, Shuangge Ma:
Identification of proportionality structure with two-part models using penalization. Comput. Stat. Data Anal. 99: 12-24 (2016) - [j10]Jianping Zhu, Kuangnan Fang:
A Multistage Chi-square Test for Measurement of the Degree of Association in Two-way Table. Commun. Stat. Simul. Comput. 45(4): 1197-1212 (2016) - [j9]Wei Lan, Yue Ding, Zheng Fang, Kuangnan Fang:
Testing covariates in high dimension linear regression with latent factors. J. Multivar. Anal. 144: 25-37 (2016) - 2015
- [j8]Wendong Lv, Xiaoxin Hong, Kuangnan Fang:
Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model. Ann. Oper. Res. 228(1): 9-22 (2015) - 2013
- [j7]Hong Li, Kuangnan Fang, Wei Yang, Di Wang, Xiaoxin Hong:
Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs. Math. Comput. Model. 58(5-6): 1018-1031 (2013) - 2012
- [j6]Malin Song, Li Yang, Kuangnan Fang:
Guest Editorial. J. Softw. 7(10): 2163-2164 (2012) - [j5]Linbing Tang, Qingmei Tan, Kuangnan Fang:
A New Ratio DEA Software for Measuring Efficiency of Industrial Departments. J. Softw. 7(10): 2165-2168 (2012) - [j4]Tong Yang, Ben-Chang Shia, Jinrui Wei, Kuangnan Fang:
Mass Data Analysis and Forecasting Based on Cloud Computing. J. Softw. 7(10): 2189-2195 (2012) - [j3]Malin Song, Ben-Chang Shia, Hailiang Yao, Wei Wang, Kuangnan Fang:
Small and Medium Enterprises Risky Prediction System Based On Cloud Computing. J. Softw. 7(10): 2236-2240 (2012) - 2011
- [j2]Ben-Chang Shia, Jianping Zhu, Kuangnan Fang, Shuangge Ma:
Fuzzy Canonical Discriminant Analysis: Theory and Practice. Commun. Stat. Simul. Comput. 40(10): 1526-1539 (2011) - [j1]Kuangnan Fang, Hong Huang:
Variable Selection for Credit Risk Model Using Data Mining technique. J. Comput. 6(9): 1868-1874 (2011)
Coauthor Index
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