World's Best Scientists 2026 revealed!
Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
116
Citations
75321
World Ranking
19
National Ranking
14

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2009 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2005 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2000 - COPSS Presidents' Award
  • 1999 - Fellow of the American Statistical Association (ASA)

Overview

Jianqing Fan is affiliated with Princeton University in the United States and has made notable contributions across multiple domains within mathematics and computer science. Their research outputs span a variety of specialized fields and topics, reflecting a broad engagement with statistical and computational methodologies.

The main fields of study covered by Jianqing Fan include:

  • Mathematics
  • Computer Science

Within these fields, their subfields of focus are:

  • Statistics and Probability
  • Artificial Intelligence
  • Economics and Econometrics
  • Computational Mechanics
  • Finance

Jianqing Fan's research topics include:

  • Statistical Methods and Inference
  • Sparse and Compressive Sensing Techniques
  • Random Matrices and Applications
  • Advanced Statistical Methods and Models
  • Blind Source Separation Techniques
  • Spatial and Panel Data Analysis
  • Statistical Methods and Bayesian Inference

The scientist has published extensively in a number of venues, with frequent publications in:

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

Representative recent papers include:

  • "Entrywise eigenvector analysis of random matrices with low expected rank", 2020, The Annals of Statistics
  • "A Selective Overview of Deep Learning", 2021, Statistical Science
  • "Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization", 2020, SIAM Journal on Optimization
  • "Global behavior of deconvolution kernel estimates", 2021, UNC Libraries
  • "Factor-adjusted regularized model selection", 2020, Journal of Econometrics

Jianqing Fan has collaborated frequently with a set of coauthors, including:

  • Mengxin Yu
  • Yuling Yan
  • Yuxin Chen
  • Yihong Gu
  • Lirong Xue

Recognition for Jianqing Fan's work includes several fellowships and awards:

  • Fellow of the John Simon Guggenheim Memorial Foundation (2009)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2005)
  • COPSS Presidents' Award (2000)
  • Fellow of the American Statistical Association (ASA) (1999)

Best Publications

  • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

    Jianqing Fan;Runze Li

  • Local polynomial modelling and its applications

    Jianqing Fan;Irène Gijbels

  • Sure independence screening for ultrahigh dimensional feature space

    Jianqing Fan;Jinchi Lv

  • Nonlinear Time Series: Nonparametric and Parametric Methods

    Jianqing Fan;Qiwei Yao

  • Design-adaptive Nonparametric Regression

    Jianqing Fan

  • Challenges of Big Data analysis

    Jianqing Fan;Fang Han;Han Liu

  • Local Linear Regression Smoothers and Their Minimax Efficiencies

    Jianqing Fan

  • Local Polynomial Modeling and Its Applications

    Hans-Georg Muller;J. Fan;I. Gijbels

  • Nonconcave penalized likelihood with a diverging number of parameters

    Jianqing Fan;Heng Peng

  • On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems

    Jianqing Fan

  • Generalized Partially Linear Single-Index Models

    R. J. Carroll;Jianqing Fan;Irène Gijbels;M. P. Wand

  • A Selective Overview of Variable Selection in High Dimensional Feature Space.

    Jianqing Fan;Jinchi Lv

  • Large covariance estimation by thresholding principal orthogonal complements

    Jianqing Fan;Yuan Liao;Martina Mincheva

  • Statistical estimation in varying coefficient models

    Jianqing Fan;Wenyang Zhang

  • Variable Bandwidth and Local Linear Regression Smoothers

    Jianqing Fan;Irene Gijbels

  • Sparsistency and Rates of Convergence in Large Covariance Matrix Estimation

    Clifford Lam;Jianqing Fan

  • Profile likelihood inferences on semiparametric varying-coefficient partially linear models

    Jianqing Fan;Tao Huang

  • Functional-Coefficient Regression Models for Nonlinear Time Series

    Zongwu Cai;Jianqing Fan;Qiwei Yao

  • Generalized likelihood ratio statistics and Wilks phenomenon

    Jianqing Fan;Chunming Zhang;Jian Zhang

  • High dimensional covariance matrix estimation using a factor model

    Jianqing Fan;Yingying Fan;Jinchi Lv

  • Data-Driven Bandwidth Selection in Local Polynomial Fitting: Variable Bandwidth and Spatial Adaptation

    Jianqing Fan;Irene Gijbels

Frequent Co-Authors

Qiwei Yao
Qiwei Yao London School of Economics and Political Science
Runze Li
Runze Li Pennsylvania State University
Han Liu
Han Liu Northwestern University
Paul K.H. Tam
Paul K.H. Tam Macau University of Science and Technology
Yacine Aït-Sahalia
Yacine Aït-Sahalia Princeton University
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Hui Zou
Hui Zou University of Minnesota
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Tao Huang
Tao Huang Chinese Academy of Sciences

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students exploring Mathematics in the USA, branching into related online degrees can open diverse career opportunities. Programs such as an ms in digital marketing degree cost usa offer a unique combination of analytical skills and marketing expertise, ideal for data-driven roles.

For professionals seeking accelerated growth, year long mba programs provide intensive leadership training that complements a strong mathematical foundation, enabling advancement in finance, consulting, or technology sectors.

Additionally, many students wonder, can you transfer mba credits? The flexibility of transferring credits between programs can significantly shorten the time and reduce the cost of earning an MBA, making it an attractive pathway for those with prior academic achievements.

Moreover, as data becomes increasingly central to business decisions, pursuing a master’s through analytics masters programs equips students with advanced skills in big data and predictive modeling, perfectly complementing a mathematics degree for roles in data science and analytics.

Best Scientists Citing Jianqing Fan

Trending Scientists