Physica A-Statistical Mechanics and Its Applications

Papers
(The H4-Index of Physica A-Statistical Mechanics and Its Applications is 39. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction127
Traffic flow prediction by an ensemble framework with data denoising and deep learning model117
Asymmetric efficiency of cryptocurrencies during COVID19116
Linear stability analysis of heterogeneous traffic flow considering degradations of connected automated vehicles and reaction time110
New 4D chaotic system with hidden attractors and self-excited attractors and its application in image encryption based on RNG88
A cellular automata model for mixed traffic flow considering the driving behavior of connected automated vehicle platoons83
Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles83
Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods78
Vulnerability and resilience of transportation systems: A recent literature review74
A novel lane-changing model of connected and automated vehicles: Using the safety potential field theory72
A hybrid deep learning approach by integrating LSTM-ANN networks with GARCH model for copper price volatility prediction72
Mathematical modeling and analysis of COVID-19: A study of new variant Omicron64
Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic63
Dynamic interdependence of cryptocurrency markets: An analysis across time and frequency57
Exploring the behavioral risk chains of accidents using complex network theory in the construction industry57
Attention meets long short-term memory: A deep learning network for traffic flow forecasting56
A study of systemic risk of global stock markets under COVID-19 based on complex financial networks56
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-1951
Dynamic dependence between ETFs and crude oil prices by using EGARCH-Copula approach49
Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow48
An improved influence maximization method for social networks based on genetic algorithm48
Dynamic rumor spreading of public opinion reversal on Weibo based on a two-stage SPNR model47
Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil47
Climate change and financial stability: Natural disaster impacts on global stock markets46
Exploring node importance evolution of weighted complex networks in urban rail transit46
Modeling SARS-CoV-2 and HBV co-dynamics with optimal control45
State-of-the-art high-rise building emergency evacuation behavior44
A review on turbulent and vortical flow analyses via complex networks44
Impact of CAV platoon management on traffic flow considering degradation of control mode43
Impacts of non-linear radiation and activation energy on the axisymmetric rotating flow of Oldroyd-B fluid42
Social Force Model parameter testing and optimization using a high stress real-life situation42
The resilience of cryptocurrency market efficiency to COVID-19 shock42
The impact of economic policy uncertainty on stock volatility: Evidence from GARCH–MIDAS approach42
The path of financial risk spillover in the stock market based on the R-vine-Copula model41
Complex-network-based traffic network analysis and dynamics: A comprehensive review41
Reputation-based discount effect in imitation on the evolution of cooperation in spatial public goods games40
Non-Gaussian noise and autapse-induced inverse stochastic resonance in bistable Izhikevich neural system under electromagnetic induction40
COVID-19, flattening the curve, and Benford’s law40
Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights39
Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks39
A unified formulation of entropy and its application39
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