Analysis and Applications

Papers
(The TQCC of Analysis and Applications is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Summability of Fourier transforms on mixed-norm Lebesgue spaces via associated Herz spaces26
Approximating functions with multi-features by deep convolutional neural networks20
Learning theory of minimum error entropy under weak moment conditions17
Mixed-norm Herz spaces and their applications in related Hardy spaces16
Global mass-preserving solutions to a chemotaxis-fluid model involving Dirichlet boundary conditions for the signal15
Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations13
On the global operator and Fueter mapping theorem for slice polyanalytic functions10
Well-posedness and asymptotic behavior of an aggregation model with intrinsic interactions on sphere and other manifolds9
A new sufficient condition for sparse vector recovery via ℓ1 − ℓ2 local minimization9
Neural network interpolation operators activated by smooth ramp functions9
Blowup for a Kirchhoff-type parabolic equation with logarithmic nonlinearity8
Sparse representation of approximation to identity8
Boundedness and compactness of commutators associated with Lipschitz functions7
A three-dimensional discrete model for approximating the deformation of a viral capsid subjected to lying over a flat surface in the static and time-dependent case7
Reproducing kernel Hilbert spaces on manifolds: Sobolev and diffusion spaces7
Topological states and continuum model for swarmalators without force reciprocity7
A new theory of fractional differential calculus7
Asymptotic approximations for eigenvalues and eigenfunctions of a spectral problem in a thin graph-like junction with a concentrated mass in the node7
Fractional Hardy-type and trace theorems for nonlocal function spaces with heterogeneous localization7
Exact reconstruction of extended exponential sums using rational approximation of their Fourier coefficients6
Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems5
On the global L∞→BMO mapping property for Fourier integral operators5
Approximations with deep neural networks in Sobolev time-space5
Effects of depth, width, and initialization: A convergence analysis of layer-wise training for deep linear neural networks5
Modified proximal symmetric ADMMs for multi-block separable convex optimization with linear constraints5
Global existence and large time behavior of strong solutions to the nonhomogeneous heat conducting magnetohydrodynamic equations with large initial data and vacuum5
Existence of multiple solutions for a Schrödinger logarithmic equation via Lusternik–Schnirelmann category5
A structural characterization of compactly supported OEP-based balanced dual multiframelets4
A mass-conserved tumor invasion system with quasi-variational degenerate diffusion4
Dynamics of stochastic nonlocal reaction–diffusion equations driven by multiplicative noise4
Error analysis of deep Ritz methods for elliptic equations4
A machine learning approach to optimal Tikhonov regularization I: Affine manifolds4
Nonlinear approximation spaces for inverse problems4
Variation operators associated with the semigroups generated by Schrödinger operators with inverse square potentials4
Operator-valued positive definite kernels and differentiable universality4
Fourier–Bessel series of compactly supported convolutions on disks4
Translation and modulation invariant Banach spaces of tempered distributions satisfy the metric approximation property4
Generalized Appell polynomials and Fueter–Bargmann transforms in the polyanalytic setting3
Reproducing kernels of Sobolev–Slobodeckij˘ spaces via Green’s kernel approach: Theory and applications3
Iteratively consistent one-bit phase retrieval3
Sparse regularization with the ℓ0 norm3
Spline representation and redundancies of one-dimensional ReLU neural network models3
Global existence and optimal time decay rates for the three-dimensional incompressible Phan-Thien–Tanner model3
On the spherical slice transform3
Weighted random sampling and reconstruction in general multivariate trigonometric polynomial spaces3
A new binary representation method for shape convexity and application to image segmentation3
A new elliptic mixed boundary value problem with (p,q)-Laplacian and Clarke subdifferential: Existence, comparison and convergence results3
Symbolic calculus and M-ellipticity of pseudo-differential operators on ℤn3
Instability of closed p-elastic curves in ?23
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings3
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