Numerical modelling in biosciences using delay differential equations GA Bocharov, FA Rihan Journal of Computational and Applied Mathematics 125 (1-2), 183-199, 2000 | 461 | 2000 |
Numerical modeling of fractional‐order biological systems FA Rihan Abstract and applied analysis 2013 (1), 816803, 2013 | 230 | 2013 |
Fractional-order delayed predator–prey systems with Holling type-II functional response FA Rihan, S Lakshmanan, AH Hashish, R Rakkiyappan, E Ahmed Nonlinear Dynamics 80, 777-789, 2015 | 174 | 2015 |
Delay differential equations and applications to biology FA Rihan Springer, 2021 | 161 | 2021 |
A time delay model of tumour–immune system interactions: Global dynamics, parameter estimation, sensitivity analysis FA Rihan, DHA Rahman, S Lakshmanan, AS Alkhajeh Applied Mathematics and Computation 232, 606-623, 2014 | 129 | 2014 |
On fractional order cancer model E Ahmed, A Hashish, FA Rihan Journal of Fractional Calculus and Applied Analysis 3 (2), 1-6, 2012 | 128 | 2012 |
Modelling and analysis of time-lags in some basic patterns of cell proliferation CTH Baker, GA Bocharov, CAH Paul, FA Rihan Journal of mathematical biology 37, 341-371, 1998 | 127 | 1998 |
A fractional-order epidemic model with time-delay and nonlinear incidence rate FA Rihan, QM Al-Mdallal, HJ AlSakaji, A Hashish Chaos, Solitons & Fractals 126, 97-105, 2019 | 125 | 2019 |
A report on the use of delay differential equations in numerical modelling in the biosciences CTH Baker, GA Bocharov, FA Rihan Manchester Centre for Computational Mathematics, 1999 | 123 | 1999 |
Stochastic SIRC epidemic model with time-delay for COVID-19 FA Rihan, HJ Alsakaji, C Rajivganthi Advances in difference equations 2020 (1), 502, 2020 | 118 | 2020 |
On Fractional SIRC Model with Salmonella Bacterial Infection FA Rihan, D Baleanu, S Lakshmanan, R Rakkiyappan Abstract and Applied Analysis 2014 (1), 136263, 2014 | 95 | 2014 |
Stability of fractional-order prey–predator system with time-delay and Monod–Haldane functional response R Chinnathambi, FA Rihan Nonlinear Dynamics 92 (4), 1637-1648, 2018 | 83 | 2018 |
Delay Differential Model for Tumour‐Immune Response with Chemoimmunotherapy and Optimal Control FA Rihan, DH Abdelrahman, F Al-Maskari, F Ibrahim, MA Abdeen Computational and mathematical methods in medicine 2014 (1), 982978, 2014 | 83 | 2014 |
Sensitivity analysis for dynamic systems with time-lags FA Rihan Journal of Computational and Applied Mathematics 151 (2), 445-462, 2003 | 83 | 2003 |
Computational methods for delay parabolic and time‐fractional partial differential equations FA Rihan Numerical Methods for Partial Differential Equations 26 (6), 1556-1571, 2010 | 81 | 2010 |
Optimal control of tumour-immune model with time-delay and immuno-chemotherapy FA Rihan, S Lakshmanan, H Maurer Applied Mathematics and Computation 353, 147-165, 2019 | 73 | 2019 |
Delay-dependent H∞ state estimation of neural networks with mixed time-varying delays S Lakshmanan, K Mathiyalagan, JH Park, R Sakthivel, FA Rihan Neurocomputing 129, 392-400, 2014 | 72 | 2014 |
Stability analysis of the differential genetic regulatory networks model with time-varying delays and Markovian jumping parameters S Lakshmanan, FA Rihan, R Rakkiyappan, JH Park Nonlinear analysis: Hybrid systems 14, 1-15, 2014 | 70 | 2014 |
Mathematical model of COVID-19 with comorbidity and controlling using non-pharmaceutical interventions and vaccination P Das, RK Upadhyay, AK Misra, FA Rihan, P Das, D Ghosh Nonlinear Dynamics 106 (2), 1213-1227, 2021 | 69 | 2021 |
Dynamics of fractional-order delay differential model for tumor-immune system FA Rihan, G Velmurugan Chaos, Solitons & Fractals 132, 109592, 2020 | 66 | 2020 |