OOIR: Observatory of International Research

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 2020-03-01 to 2024-03-01.)

Article	Citations
Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems	24
Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform	17
Learning theory of minimum error entropy under weak moment conditions	15
Wellposedness and regularity of a variable-order space-time fractional diffusion equation	15
Summability of Fourier transforms on mixed-norm Lebesgue spaces via associated Herz spaces	13
Communication-efficient estimation of high-dimensional quantile regression	13
A simultaneous decomposition for three quaternion tensors with applications in color video signal processing	13
Approximating functions with multi-features by deep convolutional neural networks	12
Global mass-preserving solutions to a chemotaxis-fluid model involving Dirichlet boundary conditions for the signal	9
On Cucker–Smale dynamical systems with degenerate communication	9
On the global operator and Fueter mapping theorem for slice polyanalytic functions	9
Neural ODEs as the deep limit of ResNets with constant weights	9
Well-posedness and asymptotic behavior of an aggregation model with intrinsic interactions on sphere and other manifolds	8
Analytical expressions of copositivity for fourth-order symmetric tensors	8
A new sufficient condition for sparse vector recovery via ℓ1 − ℓ2 local minimization	7
Mixed-norm Herz spaces and their applications in related Hardy spaces	7
A new theory of fractional differential calculus	7
Reproducing kernel Hilbert spaces on manifolds: Sobolev and diffusion spaces	7
Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations	7
Robust recovery of signals with partially known support information using weighted BPDN	6
Simplified error bounds for turning point expansions	6
Topological states and continuum model for swarmalators without force reciprocity	6
Fractional Hardy-type and trace theorems for nonlocal function spaces with heterogeneous localization	6
Exact reconstruction of extended exponential sums using rational approximation of their Fourier coefficients	5
Boundedness and compactness of commutators associated with Lipschitz functions	5

Weighted lp − l1 minimization methods for block sparse recovery and rank minimization	5
Mathematical modeling and qualitative analysis of viscoelastic conductive fluids	5
Effects of depth, width, and initialization: A convergence analysis of layer-wise training for deep linear neural networks	5
Asymptotic approximations for eigenvalues and eigenfunctions of a spectral problem in a thin graph-like junction with a concentrated mass in the node	5
Blowup for a Kirchhoff-type parabolic equation with logarithmic nonlinearity	5
Global existence and large time behavior of strong solutions to the nonhomogeneous heat conducting magnetohydrodynamic equations with large initial data and vacuum	5
High-order low-bit Sigma-Delta quantization for fusion frames	4
Approximations with deep neural networks in Sobolev time-space	4
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 case	4
Sparse representation of approximation to identity	4
Variation operators associated with the semigroups generated by Schrödinger operators with inverse square potentials	4
Sparse additive machine with ramp loss	3
Generalized Appell polynomials and Fueter–Bargmann transforms in the polyanalytic setting	3
Translation and modulation invariant Banach spaces of tempered distributions satisfy the metric approximation property	3
Dynamics of stochastic nonlocal reaction–diffusion equations driven by multiplicative noise	3
Balanced joint maximum mean discrepancy for deep transfer learning	3
Neural network interpolation operators activated by smooth ramp functions	3
Minimum norm interpolation in the ℓ1(ℕ) space	3
A mass-conserved tumor invasion system with quasi-variational degenerate diffusion	3
Emergence of mono-cluster flocking in the thermomechanical Cucker–Smale model under switching topologies	3
On the global L∞→BMO mapping property for Fourier integral operators	3
Modified proximal symmetric ADMMs for multi-block separable convex optimization with linear constraints	3
Fourier–Bessel series of compactly supported convolutions on disks	3
Compactness and existence results for quasilinear elliptic problems with singular or vanishing potentials	3
On the spherical slice transform	3
Algorithmic versatility of SPF-regularization methods	3