Feng Dai

Feng Dai

University of Alberta

H-index: 25

North America-Canada

About Feng Dai

Feng Dai, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Approximation theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Bourgain–Brezis–Mironescu formula on ball Banach function spaces

Random points are good for universal discretization

Universal discretization and sparse sampling recovery

Some improved bounds in sampling discretization of integral norms

Lebesgue-type inequalities in sparse sampling recovery

On the cardinality of lower sets and universal discretization

Brezis–Van Schaftingen–Yung formulae in ball Banach function spaces with applications to fractional Sobolev and Gagliardo–Nirenberg inequalities

Universal sampling discretization

Feng Dai Information

University

Position

___

Citations(all)

2223

Citations(since 2020)

1078

Cited By

1639

hIndex(all)

25

hIndex(since 2020)

16

i10Index(all)

51

i10Index(since 2020)

29

Email

University Profile Page

University of Alberta

Google Scholar

View Google Scholar Profile

Feng Dai Skills & Research Interests

Approximation theory

Top articles of Feng Dai

Title

Journal

Author(s)

Publication Date

The Bourgain–Brezis–Mironescu formula on ball Banach function spaces

Mathematische Annalen

Feng Dai

Loukas Grafakos

Zhulei Pan

Dachun Yang

Wen Yuan

...

2024/2

Random points are good for universal discretization

Journal of Mathematical Analysis and Applications

Feng Dai

Vladimir Temlyakov

2024/1/1

Universal discretization and sparse sampling recovery

arXiv preprint arXiv:2301.05962

Feng Dai

V Temlyakov

2023/1/14

Some improved bounds in sampling discretization of integral norms

Journal of Functional Analysis

Feng Dai

E Kosov

V Temlyakov

2023/8/15

Lebesgue-type inequalities in sparse sampling recovery

arXiv preprint arXiv:2307.04161

F Dai

V Temlyakov

2023/7/9

On the cardinality of lower sets and universal discretization

Journal of Complexity

Feng Dai

A Prymak

A Shadrin

Vladimir N Temlyakov

Sergey Tikhonov

2023/6/1

Brezis–Van Schaftingen–Yung formulae in ball Banach function spaces with applications to fractional Sobolev and Gagliardo–Nirenberg inequalities

Calculus of Variations and Partial Differential Equations

Feng Dai

Xiaosheng Lin

Dachun Yang

Wen Yuan

Yangyang Zhang

2023/3

Universal sampling discretization

Constructive Approximation

Feng Dai

V Temlyakov

2023/12

Optimal polynomial meshes exist on any multivariate convex domain

Foundations of Computational Mathematics

Feng Dai

Andriy Prymak

2023/1/23

Polynomial Approximation on -Domains

Constructive Approximation

Feng Dai

Andriy Prymak

2023/10/21

????^{????}-Bernstein inequalities on ????²-domains and applications to discretization

Transactions of the American Mathematical Society

Feng Dai

Andriy Prymak

2022/3

Sampling discretization of integral norms and its application

Proceedings of the Steklov Institute of Mathematics

Feng Dai

Vladimir Nikolaevich Temlyakov

2022/12

Poincaré inequality meets Brezis–Van Schaftingen–Yung formula on metric measure spaces

Journal of Functional Analysis

Feng Dai

Xiaosheng Lin

Dachun Yang

Wen Yuan

Yangyang Zhang

2022/11/1

On directional Whitney inequality

Canadian Journal of Mathematics

Feng Dai

Andriy Prymak

2022/6

On Bernstein- and Marcinkiewicz-type inequalities on multivariate -domains

arXiv preprint arXiv:2204.02349

Feng Dai

András Kroó

Andriy Prymak

2022/4/5

Discretization of integrals on compact metric measure spaces

Advances in Mathematics

Martin D Buhmann

Feng Dai

Yeli Niu

2021/4/16

Sharp estimates of the Cesàro kernels for weighted orthogonal polynomial expansions in several variables

Journal of Functional Analysis

Feng Dai

Yan Ge

2021/2/15

Sampling discretization of integral norms

Constructive Approximation

Feng Dai

Andriy Prymak

A Shadrin

V Temlyakov

S Tikhonov

2021/12

Entropy numbers and Marcinkiewicz-type discretization

Journal of Functional Analysis

Feng Dai

Andriy Prymak

Alexei Shadrin

Vladimir Temlyakov

Serguey Tikhonov

2021/9/15

Estimates of the asymptotic Nikolskii constants for spherical polynomials

Journal of Complexity

Feng Dai

Dmitry Gorbachev

Sergey Tikhonov

2021/8/1

See List of Professors in Feng Dai University(University of Alberta)