World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

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

Pengjian Shang publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Pengjian Shang sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 270 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Pengjian Shang D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Pengjian Shang sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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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