Norazak Senu

About Norazak Senu

Norazak Senu, With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at Universiti Putra Malaysia, specializes in the field of Runge-Kutta type method, Computational Mathematics, Ordinary Differential Equations, Numerical Analysis.

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

A promising exponentially-fitted two-derivative Runge–Kutta-Nyström method for solving y′′= f (x, y): Application to Verhulst logistic growth model

Higher-order multi-step Runge-Kutta-Nystrom methods with frequency dependent coefficients for second-order initial value problem u''= f (x, u, u')

A Parallel Fractional Explicit Group Modified AOR Iterative Method for Solving Fractional Poisson Equation with Multi-core Architecture

Development of high-order adaptive multi-step Runge–Kutta–Nyström method for solving special second-order ODEs

An augmented fuzzy decision support system to analyse compatible cosmetic face masks for various complexions

On Q-Statistical Approximation Of Wavelets Aided Kantorovich Q-Baskakov Operators

A new modern scheme for solving fractal-fractional differential equations based on deep feedforward neural network with multiple hidden layer

Diagonally Multistep Block Method for Solving Volterra Integro-differential Equation with Delay

Norazak Senu Information

University

Position

Department of Mathematics

Citations(all)

2592

Citations(since 2020)

1904

Cited By

1364

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

72

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Norazak Senu Skills & Research Interests

Runge-Kutta type method

Computational Mathematics

Ordinary Differential Equations

Numerical Analysis

Top articles of Norazak Senu

A promising exponentially-fitted two-derivative Runge–Kutta-Nyström method for solving y′′= f (x, y): Application to Verhulst logistic growth model

Mathematics and Computers in Simulation

2024/5/1

Higher-order multi-step Runge-Kutta-Nystrom methods with frequency dependent coefficients for second-order initial value problem u''= f (x, u, u')

Computational Methods for Differential Equations

2024/4/16

A Parallel Fractional Explicit Group Modified AOR Iterative Method for Solving Fractional Poisson Equation with Multi-core Architecture

Journal of Parallel and Distributed Computing

2024/3

Development of high-order adaptive multi-step Runge–Kutta–Nyström method for solving special second-order ODEs

Mathematics and Computers in Simulation

2024/2/1

An augmented fuzzy decision support system to analyse compatible cosmetic face masks for various complexions

Expert Systems

2024/1/16

On Q-Statistical Approximation Of Wavelets Aided Kantorovich Q-Baskakov Operators

FILOMAT

2024

Adem Kilicman
Adem Kilicman

H-Index: 26

Norazak Senu
Norazak Senu

H-Index: 16

A new modern scheme for solving fractal-fractional differential equations based on deep feedforward neural network with multiple hidden layer

Mathematics and Computers in Simulation

2024

Diagonally Multistep Block Method for Solving Volterra Integro-differential Equation with Delay

Menemui Matematik (Discovering Mathematics)

2023/11/19

1-point fractional adams method for solving single order differential equations with fractional delay

AIP Conference Proceedings

2023/11/17

Nurul Huda Abdul Aziz
Nurul Huda Abdul Aziz

H-Index: 2

Norazak Senu
Norazak Senu

H-Index: 16

On the Modified Numerical Methods for Partial Differential Equations Involving Fractional Derivatives

Axioms

2023/9/21

Norazak Senu
Norazak Senu

H-Index: 16

Direct Multistep Method for Solving Retarded and Neutral Delay Differential Equation with Boundary and Initial Value Problems.

Malaysian Journal of Mathematical Sciences

2023/9/1

Numerical simulation of variable-order fractal-fractional delay differential equations with nonsingular derivative

Engineering Science and Technology, an International Journal

2023/6/1

On efficient frequency-dependent parameters of explicit two-derivative improved Runge-Kutta-Nystro¨ m method with application to two-body problem

Alexandria Engineering Journal

2023/6/1

A Phase-and Amplification-Fitted 5 (4) Diagonally Implicit Runge–Kutta–Nyström Pair for Oscillatory Systems

Bulletin of the Iranian Mathematical Society

2023/6

Solving fractional variable-order differential equations of the non-singular derivative using Jacobi operational matrix

Journal of the Nigerian Society of Physical Sciences

2023/5/5

Adaptive multi-step Runge–Kutta–Nyström methods for general second-order ordinary differential equations

Journal of Computational and Applied Mathematics

2023/3/15

Approximate Solutions for Time-Fractional Fornberg–Whitham Equation with Variable Coefficients

Fractal and Fractional

2023/3/14

Norazak Senu
Norazak Senu

H-Index: 16

A novel fractal-fractional analysis of the stellar helium burning network using extended operational matrix method

Physica Scripta

2023/2/17

A new accurate method for solving fractional relaxation-oscillation with Hilfer derivatives

Computational and Applied Mathematics

2023/2

A highly accurate artificial neural networks scheme for solving higher multi-order fractal-fractional differential equations based on generalized Caputo derivative

International Journal for Numerical Methods in Engineering

2023

See List of Professors in Norazak Senu University(Universiti Putra Malaysia)

Co-Authors

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