World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
8412
World Ranking
1468
National Ranking
644

Engineering and Technology

D-Index
46
Citations
8444
World Ranking
5140
National Ranking
1461

Research.com Recognitions

  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - Fellow of the American Statistical Association (ASA)

Overview

Xiaotong Shen is affiliated with the University of Minnesota in the United States. Their primary research is situated within the field of Biochemistry, Genetics, and Molecular Biology, with a focus spanning several subfields including Molecular Biology, Artificial Intelligence, Genetics, Materials Chemistry, and Biomedical Engineering.

Their research covers various main topics, including:

  • Bioinformatics and Genomic Networks
  • Genetic Associations and Epidemiology
  • Advanced biosensing and bioanalysis techniques
  • RNA Interference and Gene Delivery
  • Statistical Methods and Inference
  • Bayesian Modeling and Causal Inference
  • Genetic Mapping and Diversity in Plants and Animals

Recent publications by Xiaotong Shen include:

  • "Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects," 2021, The American Journal of Human Genetics
  • "The involvement of TNF-α and TNF-β as proinflammatory cytokines in lymphocyte-mediated adaptive immunity of Nile tilapia by initiating apoptosis," 2020, Developmental & Comparative Immunology
  • "Deep reinforcement learning for personalized treatment recommendation," 2022, Statistics in Medicine
  • "Immobilization of laccase by 3D bioprinting and its application in the biodegradation of phenolic compounds," 2020, International Journal of Biological Macromolecules
  • "Fluorescence resonance energy transfer-based nanomaterials for the sensing in biological systems," 2021, Chinese Chemical Letters

Xiaotong Shen frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Chinese Chemical Letters
  • International Journal of Biological Macromolecules

Throughout their career, Xiaotong Shen has collaborated often with coauthors including Wei Pan, Jin Ouyang, Na Na, Chunlin Li, and Ben Dai.

Awards recognizing their contributions include:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2011
  • Fellow of the American Statistical Association (ASA), 2006

Best Publications

  • Convergence Rate of Sieve Estimates

    Xiaotong Shen;Wing Hung Wong

  • Probability inequalities for likelihood ratios and convergence rates of sieve MLEs

    Wing Hung Wong;Xiaotong Shen

  • Local Asymptotics for Regression Splines and Confidence Regions

    S. Zhou;X. Shen;D.A. Wolfe

  • On methods of sieves and penalization

    Xiaotong Shen

  • Penalized Model-Based Clustering with Application to Variable Selection

    Wei Pan;Xiaotong Shen

  • Rates of convergence of posterior distributions

    Xiaotong Shen;Larry Wasserman

  • Sieve extremum estimates for weakly dependent data

    Xiaohong Chen;Xiaotong Shen

  • Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects.

    Haoran Xue;Xiaotong Shen;Wei Pan

  • Likelihood-based selection and sharp parameter estimation.

    Xiaotong Shen;Wei Pan;Yunzhang Zhu

  • Adaptive Model Selection

    Xiaotong Shen;Jianming Ye

  • On ψ-Learning

    Xiaotong Shen;George C Tseng;Xuegong Zhang;Wing Hung Wong

  • A Powerful and Adaptive Association Test for Rare Variants

    Wei Pan;Junghi Kim;Yiwei Zhang;Xiaotong T Shen

  • Multicategory ψ-Learning

    Yufeng Liu;Xiaotong Shen

  • Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes

    Shanggang Zhou;Xiaotong Shen

  • Grouping Pursuit Through a Regularization Solution Surface

    Xiaotong Shen;Hsin Cheng Huang

  • Incorporating Predictor Network in Penalized Regression with Application to Microarray Data

    Wei Pan;Benhuai Xie;Xiaotong Shen

  • Network-based support vector machine for classification of microarray samples

    Yanni Zhu;Xiaotong T Shen;Wei Pan

  • Feature grouping and selection over an undirected graph

    Sen Yang;Lei Yuan;Ying-Cheng Lai;Xiaotong Shen

  • Multicategory ψ-Learning and Support Vector Machine: Computational Tools

    Yufeng Liu;Xiaotong Shen;Hani Doss

  • Proportional odds regression and sieve maximum likelihood estimation

    Xiaotong Shen

  • Penalized model-based clustering with unconstrained covariance matrices.

    Hui Zhou;Wei Pan;Xiaotong Shen

  • Asymptotic normality of semiparametric and nonparametric posterior distributions

    Xiaotong Shen

Frequent Co-Authors

Wei Pan
Wei Pan University of Minnesota
Jieping Ye
Jieping Ye Alibaba Group (China)
Wing Hung Wong
Wing Hung Wong Stanford University
Mohamed Nounou
Mohamed Nounou Texas A&M University at Qatar
Bhavik R. Bakshi
Bhavik R. Bakshi The Ohio State University
Peter Wonka
Peter Wonka King Abdullah University of Science and Technology
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Ying-Cheng Lai
Ying-Cheng Lai Arizona State University
Xuegong Zhang
Xuegong Zhang Tsinghua University
Bryon A. Mueller
Bryon A. Mueller University of Minnesota

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