Zhiqiang Cai
Engineering · Purdue University West Lafayette
Publications
127
Citations
4,617
Est. group size
~2
Recurring co-author estimate
Active years
38
Publishing since 1988
Zhiqiang Cai works on numerical methods for solving partial differential equations (PDEs), which are mathematical equations describing physical processes like fluid flow, heat transfer, and electromagnetics. Recent work focuses on combining traditional finite element techniques with neural-network-based methods (such as least-squares and Deep Ritz approaches) to approximate solutions to PDEs, including problems with discontinuities, fractional derivatives, and elliptic or hyperbolic equations. This research is aimed at developing more accurate and adaptive computational tools for engineering and scientific simulation.
Publication output has grown from about 3 papers per year a decade ago to a steady average of roughly 5 per year over the last five years, with a peak of 8 in 2022.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Hybrid a posteriori error estimators for conforming finite element approximations to stationary convection-diffusion-reaction equations
Numerische Mathematik · 2025
- Residual and pharmacokinetic behavior of berberine in Carassius auratus under intraperitoneal injection conditions by HPLC-Q-TOF/MS
Journal of Chromatography B · 2025
- Dual Neural Network (DuNN) method for elliptic partial differential equations and systems
Journal of Computational and Applied Mathematics · 2025
- Fractional-order dependent Radial basis functions meshless methods for the integral fractional Laplacian
Computers & Mathematics with Applications · 2024
- Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: Discontinuity Interface
SIAM Journal on Scientific Computing · 2024
- Adaptive least-squares methods for convection-dominated diffusion-reaction problems
Computers & Mathematics with Applications · 2024
- The clinical reality of “disappeared” lateral posterior choroidal artery aneurysm: case report
Neurological Sciences · 2024
- Fractional-order dependent Radial basis functions meshless methods for the integral fractional Laplacian
arXiv (Cornell University) · 2024
- Residual and Pharmacokinetic Behavior of Berberine in Carassius Auratus Under Intraperitoneal Injection Conditions by Hplc-Q-Tof/Ms
SSRN Electronic Journal · 2024
- Deep Ritz method with adaptive quadrature for linear elasticity
Computer Methods in Applied Mechanics and Engineering · 2023
- Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator
Journal of Computational and Applied Mathematics · 2023
- An error estimate for finite element approximation to elliptic PDEs with discontinuous Dirichlet boundary data
Applied Numerical Mathematics · 2023
- Neural Network Method for Integral Fractional Laplace Equations
East Asian Journal on Applied Mathematics · 2023
- Self-Adaptive ReLU Neural Network Method in Least-Squares Data Fitting
Advances in computational intelligence and robotics book series · 2023
- Adaptive two-layer ReLU neural network: I. Best least-squares approximation
Computers & Mathematics with Applications · 2022
- Computers & Mathematics with Applications×7
- arXiv (Cornell University)×7
- Computer Methods in Applied Mechanics and Engineering×4
- Journal of Computational Physics×3
- Applied Numerical Mathematics×3
- Chen Liu
Engineering · Purdue University West Lafayette
- Xiangxiong Zhang
Engineering · Purdue University West Lafayette
- Yulong Xing
Engineering · The Ohio State University
- Yu Leng
Engineering · Purdue University West Lafayette
- Jie Shen
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile