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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A novel numerical scheme for fractional differential equations using extreme learning machine
S M Sivalingam, Pushpendra Kumar, V. Govindaraj
Physica A Statistical Mechanics and its Applications (2023) Vol. 622, pp. 128887-128887
Closed Access | Times Cited: 20

Showing 20 citing articles:

A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network
S M Sivalingam, V. Govindaraj
Expert Systems with Applications (2023) Vol. 238, pp. 121750-121750
Closed Access | Times Cited: 28
A neural networks-based numerical method for the generalized Caputo-type fractional differential equations
S M Sivalingam, Pushpendra Kumar, V. Govindaraj
Mathematics and Computers in Simulation (2023) Vol. 213, pp. 302-323
Closed Access | Times Cited: 27
A novel L1-Predictor-Corrector method for the numerical solution of the generalized-Caputo type fractional differential equations
S M Sivalingam, Pushpendra Kumar, Hieu Trinh, et al.
Mathematics and Computers in Simulation (2024) Vol. 220, pp. 462-480
Closed Access | Times Cited: 12
A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations
S M Sivalingam, Pushpendra Kumar, V. Govindaraj
Computers & Mathematics with Applications (2024) Vol. 164, pp. 150-165
Closed Access | Times Cited: 11
Modeling thermoelectric figure of merit of BiCuSeO oxyselenide ceramic using extreme learning machine computational method
Fawaz S. Alharbi
Solid State Sciences (2024) Vol. 150, pp. 107476-107476
Closed Access | Times Cited: 5
Physics informed neural network based scheme and its error analysis for ψ-Caputo type fractional differential equations
S M Sivalingam, V. Govindaraj
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 096002-096002
Closed Access | Times Cited: 5
UniFIDES: Universal fractional integro-differential equations solver
Milad Saadat, Deepak Mangal, Safa Jamali
APL Machine Learning (2025) Vol. 3, Iss. 1
Open Access
An operational matrix approach with Vieta-Fibonacci polynomial for solving generalized Caputo fractal-fractional differential equations
S M Sivalingam, Pushpendra Kumar, V. Govindaraj, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 5, pp. 102678-102678
Open Access | Times Cited: 3
Observability of Time-Varying Fractional Dynamical Systems with Caputo Fractional Derivative
S M Sivalingam, V. Govindaraj
Mediterranean Journal of Mathematics (2024) Vol. 21, Iss. 3
Closed Access | Times Cited: 3
A fractional approach to solar heating model using extended ODE system
Muhammad Ullah, Qura Tul Ain, Aziz Khan, et al.
Alexandria Engineering Journal (2023) Vol. 81, pp. 405-418
Open Access | Times Cited: 5
Bessel Polynomials: Application in Finding Optimal Solution of Fractional COVID-19 Model Using Lagrange Multipliers
Hamed Saeidi, M. Sh. Dahaghin, Samrad Mehrabi, et al.
Deleted Journal (2024) Vol. 48, Iss. 4, pp. 953-963
Closed Access | Times Cited: 1
Local randomized neural networks with hybridized discontinuous Petrov–Galerkin methods for Stokes–Darcy flows
Haoning Dang, Fei Wang
Physics of Fluids (2024) Vol. 36, Iss. 8
Open Access | Times Cited: 1
Generalized third-kind Chebyshev tau approach for treating the time fractional cable problem
W. M. Abd‐Elhameed, Omar Mazen Alqubori, Abir Alharbi, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 11, pp. 6200-6224
Open Access | Times Cited: 1
Optimized deep extreme learning machine for traffic prediction and autonomous vehicle lane change decision-making
Changxi Ma, Mingxi Zhao, Xiaoting Huang, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 633, pp. 129355-129355
Closed Access | Times Cited: 4
A novel seismic topographic effect prediction method based on neural network models
Qifeng Jiang, Wei Wei, Hongtai Xu, et al.
The European Physical Journal Plus (2023) Vol. 138, Iss. 11
Closed Access | Times Cited: 3
Unifides: Universal Fractional Integro-Differential Equation Solvers
Milad Saadat, Deepak Mangal, Safa Jamali
(2024)
Open Access
Neural fractional differential networks for modeling complex dynamical systems
M. Vellappandi, Sangmoon Lee
Nonlinear Dynamics (2024)
Closed Access
A Novel Efficient Approach for Solving Nonlinear Caputo Fractional Differential Equations
Muhammad Imran Liaqat, Adnan Khan, Hafiz Muhammad Anjum, et al.
Advances in Mathematical Physics (2024) Vol. 2024, Iss. 1
Open Access
Remarks on the Solution of Fractional Ordinary Differential Equations Using Laplace Transform Method
M. Ojima, Gloria Ojima-Ojo Oguche, Usman Akwu
Advanced Journal of Graduate Research (2023) Vol. 14, Iss. 1, pp. 21-26
Open Access
Network intrusion detection utilizing information entropy measurement-based LLE and weighted kernel extreme learning machine with CPSO
Yuan Yao, Xi Chen, Peng Zhang
Research Square (Research Square) (2023)
Open Access
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