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D-Index & Metrics

Mathematics

D-Index
59
Citations
30029
World Ranking
572
National Ranking
295

Research.com Recognitions

  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - Fellow of the American Statistical Association (ASA)

Overview

Runze Li is affiliated with Pennsylvania State University in the United States. Their recent research contributions span various scientific domains, particularly focusing on molecular biology and advanced materials science.

Runze Li has published several papers in notable venues, including:

  • Understanding the structure-performance relationship of active sites at atomic scale, 2022, Nano Research
  • Superiority of Dual-Atom Catalysts in Electrocatalysis: One Step Further Than Single-Atom Catalysts, 2022, Advanced Energy Materials
  • Polystyrene Waste Thermochemical Hydrogenation to Ethylbenzene by a N-Bridged Co, Ni Dual-Atom Catalyst, 2023, Journal of the American Chemical Society

The scientist has collaborated frequently with:

  • Elaine Lai-Han Leung
  • Peiyu Yan
  • Songshan Yang
  • Megan E. Piper
  • Changcheng Li

Runze Li's work is published across several frequently appearing venues, including:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • SSRN Electronic Journal
  • The Annals of Statistics
  • Journal of Econometrics

The scientist's range of subfields includes:

  • Statistics and Probability
  • Molecular Biology
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Runze Li's research covers multiple main topics, such as:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Advanced Causal Inference Techniques
  • Random Matrices and Applications
  • Behavioral Health and Interventions

Runze Li has received recognition in the form of fellowships from prominent scientific associations, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2017
  • Fellow of the American Statistical Association (ASA), 2011

Best Publications

  • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

    Jianqing Fan;Runze Li

  • Design and Modeling for Computer Experiments

    Kai-Tang Fang;Run-ze Li;Agus Sudjianto

  • One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.

    Hui Zou;Runze Li

  • Tuning parameter selectors for the smoothly clipped absolute deviation method.

    Hansheng Wang;Runze Li;Chih Ling Tsai

  • Sensitivity and specificity of information criteria.

    John J. Dziak;Donna L. Coffman;Stephanie T. Lanza;Runze Li

  • Feature Screening via Distance Correlation Learning

    Runze Li;Wei Zhong;Liping Zhu

  • Variable Selection for Cox's proportional Hazards Model and Frailty Model

    Jianqing Fan;Runze Li

  • Efficient Estimation and Inferences for Varying-Coefficient Models

    Zongwu Cai;Jianqing Fan;Runze Li

  • Variable Selection using MM Algorithms.

    David R. Hunter;Runze Li

  • New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis

    Jianqing Fan;Runze Li

  • Model-Free Feature Screening for Ultrahigh-Dimensional Data

    Li Ping Zhu;Lexin Li;Runze Li;Li Xing Zhu

  • Statistical challenges with high dimensionality: feature selection in knowledge discovery

    Jianqing Fan;Runze Li

  • Design of Experiments with Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs

    Linda M. Collins;John J. Dziak;Runze Li

  • A Time-Varying Effect Model for Intensive Longitudinal Data

    Xianming Tan;Mariya P. Shiyko;Runze Li;Yuelin Li

  • Regularization Parameter Selections via Generalized Information Criterion

    Yiyun Zhang;Runze Li;Chih Ling Tsai

  • Variable Selection in Semiparametric Regression Modeling.

    Runze Li;Hua Liang

  • Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension

    Lan Wang;Yichao Wu;Runze Li

  • NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS

    Bo Kai;Runze Li;Hui Zou

  • Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function.

    Jianqing Fan;Tao Huang;Runze Li

  • The Bayesian lasso for genome-wide association studies

    Jiahan Li;Kiranmoy Das;Guifang Fu;Runze Li

  • ESTIMATION AND TESTING FOR PARTIALLY LINEAR SINGLE-INDEX MODELS.

    Hua Liang;Xiang Liu;Runze Li;Chih Ling Tsai

Frequent Co-Authors

Kai-Tai Fang
Kai-Tai Fang Beijing Normal University
Rongling Wu
Rongling Wu Pennsylvania State University
Jianqing Fan
Jianqing Fan Princeton University
Hansheng Wang
Hansheng Wang Peking University
Stephanie T. Lanza
Stephanie T. Lanza Pennsylvania State University
Saul Shiffman
Saul Shiffman University of Pittsburgh
Lisa Dierker
Lisa Dierker Wesleyan University
Chih-Ling Tsai
Chih-Ling Tsai University of California, Davis
Robert A. Zucker
Robert A. Zucker University of Michigan–Ann Arbor
Dennis K. J. Lin
Dennis K. J. Lin Purdue University West Lafayette

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