Xihong Lin

Genetics · 2000–2021

A researcher in the Science corpus: 18 papers; trusts 37 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 130 citations into it; #2,221 of 6,854 by trust here, #1,819 by citations
• Molecular Biology — 96 citations into it; #12,625 of 17,773 by trust here, #10,695 by citations
• Artificial Intelligence — 38 citations into it; #3,063 of 35,345 by trust here, #7,531 by citations
• Statistics and Probability — 35 citations into it; #715 of 12,932 by trust here, #1,069 by citations
• Economics and Econometrics — 9 citations into it

Whom Xihong Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. K. Liang
2. Raymond J. Carroll
3. Naisyin Wang
4. Scott Zeger
5. Jianqing Fan
6. Danyu Lin
7. Kani Chen
8. Hulin Wu
9. Zonghui Hu
10. Jerome H. Friedman

Who trusts Xihong Lin overall

1. Jianhua Z. Huang
2. Raymond J. Carroll
3. Jianqing Fan
4. Lan Wang
5. Fang Yao
6. Naisyin Wang
7. Xuming He
8. Jane-ling Wang
9. Lian-Shan Zhang
10. Hulin Wu

Papers from Xihong Lin's perspective

Ordered by how strongly the researchers Xihong Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Nonparametric regression and generalized linear models
3. Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
4. Regression Shrinkage and Selection via the Lasso
5. Longitudinal data analysis using generalized linear models
6. Generalized Linear Models
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach
9. Nonparametric Regression and Spline Smoothing (Technometrics)
10. Semiparametric and Nonparametric Regression Analysis of Longitudinal Data

Their papers

• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error (2000) — 347 citations
• Semiparametric Regression for Clustered Data Using Generalized Estimating Equations (2001) — 303 citations
• Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data (2005) — 189 citations
• Semiparametric regression for clustered data (2001) — 86 citations
• Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data (2004) — 100 citations
• Semiparametric estimation in general repeated measures problems (2006) — 128 citations
• Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models (2007) — 356 citations
• Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (2019) — 1,941 citations
• Marginal Longitudinal Nonparametric Regression (2002) — 66 citations
• ACAT: A Fast and Powerful P-value Combination Method for Rare-variant Analysis in Sequencing Studies (2018) — 385 citations
• Federated learning for predicting clinical outcomes in patients with COVID-19 (2021) — 736 citations
• Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China. (2020) — 1,543 citations
• Rare-variant association analysis: study designs and statistical tests. (2014) — 1,002 citations
• Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. (2012) — 1,064 citations
• Optimal tests for rare variant effects in sequencing association studies. (2012) — 697 citations
• Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity (2011) — 994 citations
• LKB1 modulates lung cancer differentiation and metastasis (2007) — 1,083 citations
• Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates (2002) — 99 citations