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Mathematics

D-Index
37
Citations
5848
World Ranking
2499
National Ranking
126

Overview

Pengjian Shang is a researcher affiliated with Beijing Jiaotong University in China. Their academic work spans multiple disciplines, notably economics, physics, and computer science, with a particular focus on complex systems and time series analysis.

Their research primarily involves the study of nonlinear dynamics, statistical mechanics, and signal processing. The concentration includes detailed aspects such as chaos control and synchronization, time series analysis and forecasting, and statistical mechanics and entropy. Other research topics covered are fractal and DNA sequence analysis, neural networks and their applications, as well as heart rate variability and autonomic control.

Pengjian Shang has published frequently in recognized scientific journals. Among the main publication venues are:

  • Nonlinear Dynamics
  • Chaos Solitons & Fractals
  • Communications in Nonlinear Science and Numerical Simulation
  • Fluctuation and Noise Letters
  • Physica A Statistical Mechanics and its Applications

Some of the recent papers authored or co-authored by Pengjian Shang include:

  • "Measuring time series based on multiscale dispersion Lempel-Ziv complexity and dispersion entropy plane" (2020) - Chaos Solitons & Fractals
  • "Transition Permutation Entropy and Transition Dissimilarity Measure: Efficient Tools for Fault Detection of Railway Vehicle Systems" (2021) - IEEE Transactions on Industrial Informatics
  • "Analysis of economic growth fluctuations based on EEMD and causal decomposition" (2020) - Physica A Statistical Mechanics and its Applications
  • "Permutation transition entropy: Measuring the dynamical complexity of financial time series" (2020) - Chaos Solitons & Fractals
  • "Generalized entropy plane based on multiscale weighted multivariate dispersion entropy for financial time series" (2020) - Chaos Solitons & Fractals

Collaboration plays a significant part in their research activities. Frequent co-authors include:

  • Du Shang
  • Boyi Zhang
  • Xuegeng Mao
  • Yi Yin
  • Binbin Shang

Pengjian Shang's contributions reflect a multidisciplinary approach, integrating methodologies from economics, physics, and computer science. The work emphasizes the analysis and forecasting of complex temporal data and explores entropy-related measures and nonlinear phenomena in various systems.

Best Publications

  • Detecting long-range correlations of traffic time series with multifractal detrended fluctuation analysis

    Pengjian Shang;Yongbo Lu;Santi Kamae

  • Chaotic analysis of traffic time series

    Pengjian Shang;Xuewei Li;Santi Kamae

  • Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting

    Ningning Zhang;Aijing Lin;Pengjian Shang

  • MULTIFRACTAL CROSS-CORRELATION ANALYSIS BASED ON STATISTICAL MOMENTS

    Jing Wang;Pengjian Shang;Weijie Ge

  • Modeling traffic flow correlation using DFA and DCCA

    Na Xu;Pengjian Shang;Santi Kamae

  • The cross-correlations of stock markets based on DCCA and time-delay DCCA

    Aijing Lin;Pengjian Shang;Xiaojun Zhao

  • Multifractal Fourier detrended cross-correlation analysis of traffic signals

    Xiaojun Zhao;Pengjian Shang;Aijing Lin;Gang Chen

  • Multiscale multifractal detrended cross-correlation analysis of financial time series

    Wenbin Shi;Pengjian Shang;Jing Wang;Aijing Lin

  • Weighted multiscale permutation entropy of financial time series

    Yi Yin;Pengjian Shang

  • Cross-sample entropy statistic as a measure of synchronism and cross-correlation of stock markets

    Wenbin Shi;Pengjian Shang

  • Transfer entropy between multivariate time series

    Xuegeng Mao;Pengjian Shang

  • Comparison of transfer entropy methods for financial time series

    Jiayi He;Pengjian Shang

  • Fractal nature of time series in the sediment transport phenomenon

    Pengjian Shang;Santi Kamae

  • Weighted multifractal cross-correlation analysis based on Shannon entropy

    Hui Xiong;Pengjian Shang

  • Modified DFA and DCCA approach for quantifying the multiscale correlation structure of financial markets

    Yi Yin;Pengjian Shang

  • Cross-correlation analysis of stock markets using EMD and EEMD

    Mengjia Xu;Pengjian Shang;Aijing Lin

  • Multiscale multifractal analysis of traffic signals to uncover richer structures.

    Jing Wang;Pengjian Shang;Xingran Cui

  • Detrended fluctuation analysis of multivariate time series

    Hui Xiong;Pengjian Shang

  • Permutation and weighted-permutation entropy analysis for the complexity of nonlinear time series

    Jianan Xia;Pengjian Shang;Jing Wang;Wenbin Shi

  • Short-time prediction method and system of traffic flow data

    Jizhen Guan;Pengjian Shang;Jing Liu;Jianling Yu

  • Forecasting traffic time series with multivariate predicting method

    Yi Yin;Pengjian Shang

Frequent Co-Authors

Albert C. Yang
Albert C. Yang National Yang Ming Chiao Tung University

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