Chaos Solitons & Fractals

Papers
(The H4-Index of Chaos Solitons & Fractals is 90. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Analysis and forecast of COVID-19 spreading in China, Italy and France708
Time series forecasting of COVID-19 transmission in Canada using LSTM networks661
Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review538
A new study on the mathematical modelling of human liver with Caputo–Fabrizio fractional derivative538
A SIR model assumption for the spread of COVID-19 in different communities455
Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan423
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet421
Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM411
Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?376
Modeling and forecasting the COVID-19 pandemic in India325
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil323
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study316
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images293
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique283
A study of behaviour for immune and tumor cells in immunogenetic tumour model with non-singular fractional derivative281
COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions273
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis271
A theoretical study of the Caputo–Fabrizio fractional modeling for hearing loss due to Mumps virus with optimal control265
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images264
A model based study on the dynamics of COVID-19: Prediction and control264
Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India242
A mathematical model for COVID-19 transmission by using the Caputo fractional derivative233
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks231
Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia226
Chaotic behaviour of fractional predator-prey dynamical system220
Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics213
Comparison of deep learning approaches to predict COVID-19 infection206
A mathematical model for COVID-19 transmission dynamics with a case study of India186
Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study184
Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches175
A new study of unreported cases of 2019-nCOV epidemic outbreaks172
Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches169
Modeling and forecasting of epidemic spreading: The case of Covid-19 and beyond168
Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study156
A new adaptive synchronization and hyperchaos control of a biological snap oscillator152
Analysis of a mathematical model for COVID-19 population dynamics in Lagos, Nigeria151
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches145
CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images144
A chaos study of tumor and effector cells in fractional tumor-immune model for cancer treatment143
On a comprehensive model of the novel coronavirus (COVID-19) under Mittag-Leffler derivative143
Analytical mathematical approaches for the double-chain model of DNA by a novel computational technique141
Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming139
Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?139
Global stability and cost-effectiveness analysis of COVID-19 considering the impact of the environment: using data from Ghana137
Assessment of lockdown effect in some states and overall India: A predictive mathematical study on COVID-19 outbreak136
New concept in calculus: Piecewise differential and integral operators134
Chaotic dynamics of a fractional order HIV-1 model involving AIDS-related cancer cells133
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review130
Fractional order mathematical modeling of COVID-19 transmission129
Novel trial functions and rogue waves of generalized breaking soliton equation via bilinear neural network method129
The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets128
Global dynamics of a fractional order model for the transmission of HIV epidemic with optimal control127
Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan126
Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries125
Semi-analytical study of Pine Wilt Disease model with convex rate under Caputo–Febrizio fractional order derivative124
A discrete memristor model and its application in Hénon map119
Applications of artificial intelligence in battling against covid-19: A literature review118
Analysis on novel coronavirus (COVID-19) using machine learning methods115
Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps114
Neural network powered COVID-19 spread forecasting model114
A fractional-order chaotic system with hidden attractor and self-excited attractor and its DSP implementation112
A python based support vector regression model for prediction of COVID19 cases in India110
Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm109
Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran108
Mathematical analysis of a fractional differential model of HBV infection with antibody immune response108
The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization107
Shallow water in an open sea or a wide channel: Auto- and non-auto-Bäcklund transformations with solitons for a generalized (2+1)-dimensional dispersive long-wave system107
Robustness of LSTM neural networks for multi-step forecasting of chaotic time series107
Double image encryption algorithm based on neural network and chaos106
New approach for the model describing the deathly disease in pregnant women using Mittag-Leffler function105
SIR epidemic model with Mittag–Leffler fractional derivative105
Analysis of the impact of COVID-19 on the correlations between crude oil and agricultural futures104
Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models104
Lie symmetry analysis for obtaining the abundant exact solutions, optimal system and dynamics of solitons for a higher-dimensional Fokas equation103
Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization101
Stochastic resonance in a metal-oxide memristive device101
Novel fractional order SIDARTHE mathematical model of COVID-19 pandemic101
Mathematical analysis of spread and control of the novel corona virus (COVID-19) in China100
Lie group analysis, solitons, self-adjointness and conservation laws of the modified Zakharov-Kuznetsov equation in an electron-positron-ion magnetoplasma99
Fractal-fractional differentiation for the modeling and mathematical analysis of nonlinear diarrhea transmission dynamics under the use of real data99
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells99
Adaptive chaotic maps and their application to pseudo-random numbers generation97
Analytical and numerical study of the DNA dynamics arising in oscillator-chain of Peyrard-Bishop model97
Study of multiple lump and rogue waves to the generalized unstable space time fractional nonlinear Schrödinger equation96
Analysis of fractional blood alcohol model with composite fractional derivative96
Randomness improvement of chaotic maps for image encryption in a wireless communication scheme using PIC-microcontroller via Zigbee channels94
Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic94
Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-1993
Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak92
Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics91
An efficient computational approach for a fractional-order biological population model with carrying capacity90
Fractional Hausdorff grey model and its properties90
Computational modelling of nanofluid flow over a curved stretching sheet using Koo–Kleinstreuer and Li (KKL) correlation and modified Fourier heat flux model90
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