On the public citation graph
Asymptotically Compatible Fractional Gr¨Onwall Inequality and Applications
0 signed · 21 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-71041-7openalex-snapshot
Spectral Methods: Algorithms, Analysis and Applications
inferredcites →https://doi.org/10.1007/bf01462237openalex-snapshot
Convolution quadrature and discretized operational calculus. II
inferredcites →https://doi.org/10.1007/s10915-019-00927-0openalex-snapshot
Unconditional Convergence of a Fast Two-Level Linearized Algorithm for Semilinear Subdiffusion Equations
inferredcites →https://doi.org/10.1007/s13540-022-00022-6openalex-snapshot
Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations
inferredcites →https://doi.org/10.1016/j.cma.2018.12.011openalex-snapshot
Numerical methods for time-fractional evolution equations with nonsmooth data: A concise overview
inferredcites →https://doi.org/10.1016/j.cnsns.2022.106923openalex-snapshot
A sharp discrete convolution sum estimate
inferredcites →https://doi.org/10.1016/j.jcp.2022.111467openalex-snapshot
Compatible L2 norm convergence of variable-step L1 scheme for the time-fractional MBE model with slope selection
inferredcites →https://doi.org/10.1090/mcom/3410openalex-snapshot
Error analysis of the L1 method on graded and uniform meshes for a fractional-derivative problem in two and three dimensions
inferredcites →https://doi.org/10.1090/mcom/3552openalex-snapshot
Error analysis of an L2-type method on graded meshes for a fractional-order parabolic problem
inferredcites →https://doi.org/10.1134/s0012266110050058openalex-snapshot
A priori estimates for solutions of boundary value problems for fractional-order equations
inferredcites →https://doi.org/10.1137/16m1082329openalex-snapshot
Error Analysis of a Finite Difference Method on Graded Meshes for a Time-Fractional Diffusion Equation
inferredcites →https://doi.org/10.1137/16m1089320openalex-snapshot
Numerical Analysis of Nonlinear Subdiffusion Equations
inferredcites →https://doi.org/10.1137/17m1131829openalex-snapshot
Sharp Error Estimate of the Nonuniform L1 Formula for Linear Reaction-Subdiffusion Equations
inferredcites →https://doi.org/10.1137/18m1189750openalex-snapshot
Numerical Approximation of Semilinear Subdiffusion Equations with Nonsmooth Initial Data
inferredcites →https://doi.org/10.1137/19m1300686openalex-snapshot
Error Analysis for a Fractional-Derivative Parabolic Problem on Quasi-Graded Meshes using Barrier Functions
inferredcites →https://doi.org/10.1137/20m1313015openalex-snapshot
Error Analysis for Time-Fractional Semilinear Parabolic Equations Using Upper and Lower Solutions
inferredcites →https://doi.org/10.1515/cmam-2017-0019openalex-snapshot
Convergence in Positive Time for a Finite Difference Method Applied to a Fractional Convection-Diffusion Problem
inferredcites →https://doi.org/10.4208/cicp.oa-2020-0124openalex-snapshot
A Second-Order Scheme with Nonuniform Time Steps for a Linear Reaction-Subdiffusion Problem
inferredcites →https://doi.org/10.4208/jcm.2205-m2021-0316openalex-snapshot
Sharp Pointwise-in-Time Error Estimate of L1 Scheme for Nonlinear Subdiffusion Equations
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.