2026 Lai Sang Young: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	49	1124	956	515	406	133	13180

Research.com Recognitions

2020 - Member of the National Academy of Sciences
2004 - Fellow of the American Academy of Arts and Sciences
1997 - Fellow of John Simon Guggenheim Memorial Foundation
1985 - Fellow of Alfred P. Sloan Foundation

Overview

Lai Sang Young is affiliated with the Courant Institute of Mathematical Sciences in the United States. Their research primarily addresses topics in neuroscience and biochemistry, genetics, and molecular biology.

The scientist has a substantial publication record with notable recent papers including:

Origin of exponential growth in nonlinear reaction networks, 2020, Proceedings of the National Academy of Sciences
Chaotic heteroclinic networks as models of switching behavior in biological systems, 2022, Chaos An Interdisciplinary Journal of Nonlinear Science
Contrast response in a comprehensive network model of macaque V1, 2020, Journal of Vision
A theory of direction selectivity for macaque primary visual cortex, 2021, Proceedings of the National Academy of Sciences
A data-informed mean-field approach to mapping of cortical parameter landscapes, 2021, PLoS Computational Biology

The frequent co-authors collaborating with Lai Sang Young include:

Logan Chariker
Robert Shapley
Michael J. Hawken
Zhuo-Cheng Xiao
Kevin K. Lin

Their research has been published in a variety of venues, with multiple publications appearing in:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the National Academy of Sciences
PLoS Computational Biology
Chaos An Interdisciplinary Journal of Nonlinear Science

The primary fields of study for Lai Sang Young are:

Neuroscience
Biochemistry, Genetics and Molecular Biology

Within these broad fields, subfields of particular focus include:

Cognitive Neuroscience
Molecular Biology
Statistical and Nonlinear Physics
Biophysics
Cellular and Molecular Neuroscience

The scientist's work covers a range of topics, such as:

Neural dynamics and brain function
Visual perception and processing mechanisms
Functional Brain Connectivity Studies
Neural Networks and Applications
Nonlinear Dynamics and Pattern Formation
Gene Regulatory Network Analysis
Protein Structure and Dynamics

Lai Sang Young has been recognized with several awards including:

Member of the National Academy of Sciences, 2020
Fellow of the American Academy of Arts and Sciences, 2004
Fellow of John Simon Guggenheim Memorial Foundation, 1997
Fellow of Alfred P. Sloan Foundation, 1985

Best Publications

STATISTICAL PROPERTIES OF DYNAMICAL SYSTEMS WITH SOME HYPERBOLICITY

Lai Sang Young

1248
Citations
Recurrence times and rates of mixing

Lai Sang Young

1115
Citations
Dimension, entropy and Lyapunov exponents

Lai Sang Young

880
Citations
The metric entropy of diffeomorphisms Part I: Characterization of measures satisfying Pesin's entropy formula

François Ledrappier;Lai-Sang Young

849
Citations
What Are SRB Measures, and Which Dynamical Systems Have Them?

Lai Sang Young

825
Citations
Dynamical Systems and Turbulence, Warwick 1980

David Rand;Lai-Sang Young

483
Citations
The metric entropy of diffeomorphisms Part II: Relations between entropy, exponents and dimension

François Ledrappier;Lai-Sang Young

482
Citations
Periodic points and topological entropy of one dimensional maps

Louis Block;John Guckenheimer;Michal Misiurewicz;Lai Sang Young

478
Citations
Sinai-Bowen-Ruelle measures for certain Hénon maps

Michael Benedicks;Lai Sang Young

296
Citations
Strange attractors with one direction of instability

Qiudong Wang;Lai Sang Young

278
Citations
The metric entropy of diffeomorphisms

F. Ledrappier;F. Ledrappier;L.-S. Young

276
Citations
Decay of correlations for certain quadratic maps

L. S. Young

210
Citations
On the spectra of randomly perturbed expanding maps

V. Baladi;L. S. Young

187
Citations
Entropy Formula for Random Transformations

F. Ledrappier;L. S. Young

175
Citations
Stochastic stability of hyperbolic attractors

Lai Sang Young

171
Citations
Escape rates and conditionally invariant measures

Mark F. Demers;Lai Sang Young

171
Citations
Markov extensions and decay of correlations for certain Hénon maps

Michael Benedicks;Lai Sang Young

167
Citations
SRB measures as zero-noise limits

William Cowieson;Lai Sang Young

167
Citations
Large deviations in dynamical systems

Unknown

165
Citations
Hard Ball Systems and the Lorentz Gas

L. A. Bunimovich;D. Burago;N. Chernov;E. G. D. Cohen

112
Citations
Ergodic Theory of Differentiable Dynamical Systems

Lai-Sang Young

98
Citations
Entropy in dynamical systems

Lai-Sang Young

32
Citations

Frequent Co-Authors

Robert Shapley New York University

Jean-Pierre Eckmann University of Geneva

Viviane Baladi Centre national de la recherche scientifique, CNRS

Stephen Coombes University of Nottingham

John Guckenheimer Cornell University

Nikolai Chernov University of Alabama at Birmingham

Nader Masmoudi Courant Institute of Mathematical Sciences

David W. McLaughlin Courant Institute of Mathematical Sciences

Alain Barrat Centre de Physique Théorique

Joel L. Lebowitz Rutgers, The State University of New Jersey

External Links

Wikipedia of Lai Sang Young Personal website of Lai Sang Young

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

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, expanding into related fields through online degrees can boost career opportunities. Many graduates consider combining their analytical skills with finance, marketing, or business management to enhance employability. For example, a master of finance online offers a practical blend of quantitative expertise and financial insight, ideal for roles in investment analysis or risk management.

Business-oriented students may find value in accelerated programs to fast-track their careers. Programs such as the quickest online mba provide an efficient pathway to leadership roles without long campus commitments.

Marketing is another field where math skills are essential, especially in data-driven strategies. Exploring a marketing masters online can help students merge creative and analytical talents, opening doors to lucrative positions in digital marketing and brand management.

For those seeking an affordable and time-conscious business education, cheapest 1 year online mba programs offer a focused curriculum that complements mathematical expertise with essential management skills.