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2020 – today
- 2024
[j55]Binbin Shang
, Pengjian Shang:
A novel and effective method for quantifying complexity of nonlinear time series. Commun. Nonlinear Sci. Numer. Simul. 130: 107773 (2024)- [j54]Yixiao Liu, Pengjian Shang:
A novel distance correlation entropy and Auto-distance correlation function for measuring the complexity of time series data. Commun. Nonlinear Sci. Numer. Simul. 138: 108225 (2024) - [j53]Du Shang, Pengjian Shang, Ang Li:
A novel clustering method for complex signals and feature extraction based on advanced information-based dissimilarity measure. Expert Syst. Appl. 238(Part E): 122011 (2024) - [j52]Zhuo Wang, Pengjian Shang, Xuegeng Mao:
Feature recognition of complex systems using cumulative residual Tsallis signal entropy and grey wolf optimized support vector machine. Expert Syst. Appl. 238(Part F): 122246 (2024) - [j51]Binbin Shang, Pengjian Shang:
A Novel and Effective Method for Quantifying the Performance of Time Series Volatility. IEEE Trans. Ind. Informatics 20(5): 7966-7976 (2024) - 2023
- [j50]Boyi Zhang, Pengjian Shang, Xuegeng Mao, Jinzhao Liu:
Dispersion heterogeneous recurrence analysis and its use on fault detection. Commun. Nonlinear Sci. Numer. Simul. 117: 106902 (2023) - [j49]Binbin Shang, Pengjian Shang:
Generalized Shannon-Fisher index: An effective method to quantify the instability of multivariate time series. Commun. Nonlinear Sci. Numer. Simul. 117: 106904 (2023) - [j48]Zhuo Wang, Pengjian Shang, Binbin Shang:
Time irreversibility analysis and abnormality detection based on Riemannian geometry for complex time series. Commun. Nonlinear Sci. Numer. Simul. 117: 106985 (2023) - [j47]Yi Yin, Xi Wang, Wenjing Wang, Qiang Li, Pengjian Shang:
Multiscale cross-sample entropy based on visibility graph for quantifying time series irreversibility. Commun. Nonlinear Sci. Numer. Simul. 124: 107308 (2023) - [j46]Du Shang, Pengjian Shang:
The dependence index based on martingale difference correlation: An efficient tool to distinguish different complex systems. Expert Syst. Appl. 213(Part): 119284 (2023) - 2022
- [j45]Du Shang, Pengjian Shang:
A novel approach of dependence measure for complex signals. Commun. Nonlinear Sci. Numer. Simul. 104: 106051 (2022) - [j44]Yali Zhang, Pengjian Shang:
KM-MIC: An improved maximum information coefficient based on K-Medoids clustering. Commun. Nonlinear Sci. Numer. Simul. 111: 106418 (2022) - [j43]Sange Li, Pengjian Shang:
Multi-Moment Multiscale Local Sample Entropy and Its Application to Complex Physiological Time Series. Int. J. Bifurc. Chaos 32(11): 2250166:1-2250166:11 (2022) - [j42]Zhuo Wang, Pengjian Shang:
Analysis of the Dispersion Havrda-Charvat Entropy Plane in Financial Time Series. Int. J. Bifurc. Chaos 32(16): 2250234:1-2250234:19 (2022) - [j41]Kun Peng, Pengjian Shang:
Characterizing ordinal network of time series based on complexity-entropy curve. Pattern Recognit. 124: 108464 (2022) - [j40]Boyi Zhang, Pengjian Shang:
Transition Permutation Entropy and Transition Dissimilarity Measure: Efficient Tools for Fault Detection of Railway Vehicle Systems. IEEE Trans. Ind. Informatics 18(3): 1654-1662 (2022) - 2021
- [j39]Du Shang, Pengjian Shang, Zuoquan Zhang:
Efficient synchronization estimation for complex time series using refined cross-sample entropy measure. Commun. Nonlinear Sci. Numer. Simul. 94: 105556 (2021) - [j38]Boyi Zhang, Pengjian Shang, Jinzhao Liu:
Transition-based complexity-entropy causality diagram: A novel method to characterize complex systems. Commun. Nonlinear Sci. Numer. Simul. 95: 105660 (2021) - [j37]Guyue Qin, Pengjian Shang:
Analysis of Time Series Based on a New Entropy Plane by Using Weighted Dispersion Pattern. Int. J. Bifurc. Chaos 31(9): 2150128:1-2150128:26 (2021) - [j36]Boyi Zhang, Pengjian Shang:
Cumulative Permuted Fractional Entropy and its Applications. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4946-4955 (2021) - 2020
- [j35]Shijian Chen, Pengjian Shang, Yue Wu:
Generalized entropy plane based on large deviations theory for financial time series. Appl. Math. Comput. 365 (2020) - [j34]Shijian Chen, Pengjian Shang:
An adaptive method for threshold of recurrence quantification analysis based on SAX. Commun. Nonlinear Sci. Numer. Simul. 83: 105061 (2020) - [j33]Jiayi He, Pengjian Shang:
NF-CECP: A novel approach to distinguish signals with different properties via modified Fisher information measure. Commun. Nonlinear Sci. Numer. Simul. 88: 105272 (2020) - [j32]Du Shang, Pengjian Shang:
The Fisher-DisEn plane: A novel approach to distinguish different complex systems. Commun. Nonlinear Sci. Numer. Simul. 89: 105271 (2020) - [j31]Boyi Zhang, Pengjian Shang:
Measuring information transfer by dispersion transfer entropy. Commun. Nonlinear Sci. Numer. Simul. 89: 105329 (2020) - [j30]Yu Wang, Pengjian Shang:
Complexity Analysis of Time Series Based on Generalized Fractional Order Refined Composite Multiscale Dispersion Entropy. Int. J. Bifurc. Chaos 30(14): 2050211:1-2050211:15 (2020)
2010 – 2019
- 2019
- [j29]Hui Xiong, Pengjian Shang, Yali Zhang:
Fractional cumulative residual entropy. Commun. Nonlinear Sci. Numer. Simul. 78: 104879 (2019) - [j28]Jinyang Li, Pengjian Shang, Xuezheng Zhang:
Financial time series analysis based on fractional and multiscale permutation entropy. Commun. Nonlinear Sci. Numer. Simul. 78: 104880 (2019) - [j27]Xiaojun Zhao, Chenxu Liang, Na Zhang, Pengjian Shang:
Quantifying the Multiscale Predictability of Financial Time Series by an Information-Theoretic Approach. Entropy 21(7): 684 (2019) - 2018
- [j26]Yue Wu, Pengjian Shang, Yilong Li:
Multiscale sample entropy and cross-sample entropy based on symbolic representation and similarity of stock markets. Commun. Nonlinear Sci. Numer. Simul. 56: 49-61 (2018) - [j25]Pengbo Yang, Pengjian Shang:
Recurrence quantity analysis based on matrix eigenvalues. Commun. Nonlinear Sci. Numer. Simul. 59: 15-29 (2018) - [j24]Yue Teng, Pengjian Shang:
The detection of local irreversibility in time series based on segmentation. Commun. Nonlinear Sci. Numer. Simul. 59: 149-157 (2018) - [j23]Xiaojun Zhao, Yupeng Sun, Xuemei Li, Pengjian Shang:
Multiscale transfer entropy: Measuring information transfer on multiple time scales. Commun. Nonlinear Sci. Numer. Simul. 62: 202-212 (2018) - [j22]Jiayi He, Pengjian Shang:
Multidimensional scaling analysis of financial stocks based on Kronecker-delta dissimilarity. Commun. Nonlinear Sci. Numer. Simul. 63: 186-201 (2018) - [j21]Jinyang Li, Pengjian Shang:
Financial time series analysis using Total-CApEn and Avg-CApEn with cumulative histogram matrix. Commun. Nonlinear Sci. Numer. Simul. 63: 239-252 (2018) - 2017
- [j20]Hui Xiong, Pengjian Shang:
Detrended fluctuation analysis of multivariate time series. Commun. Nonlinear Sci. Numer. Simul. 42: 12-21 (2017) - [j19]Wenbin Shi, Pengjian Shang, Yan Ma, Shuchen Sun, Chien-Hung Yeh:
A comparison study on stages of sleep: Quantifying multiscale complexity using higher moments on coarse-graining. Commun. Nonlinear Sci. Numer. Simul. 44: 292-303 (2017) - [j18]Songhan Bian, Pengjian Shang:
Recurrence quantity analysis based on singular value decomposition. Commun. Nonlinear Sci. Numer. Simul. 46: 1-13 (2017) - [j17]Xuegeng Mao, Pengjian Shang:
Transfer entropy between multivariate time series. Commun. Nonlinear Sci. Numer. Simul. 47: 338-347 (2017) - [j16]Ningning Zhang, Aijing Lin, Pengjian Shang:
Symbolic phase transfer entropy method and its application. Commun. Nonlinear Sci. Numer. Simul. 51: 78-88 (2017) - [j15]Yali Zhang, Pengjian Shang:
Permutation entropy analysis of financial time series based on Hill's diversity number. Commun. Nonlinear Sci. Numer. Simul. 53: 288-298 (2017) - 2016
- [j14]Yi Yin, Pengjian Shang, Guochen Feng:
Modified multiscale cross-sample entropy for complex time series. Appl. Math. Comput. 289: 98-110 (2016) - [j13]Yi Yin, Pengjian Shang:
Forecasting traffic time series with multivariate predicting method. Appl. Math. Comput. 291: 266-278 (2016) - [j12]Hui Xiong, Pengjian Shang:
Weighted multifractal cross-correlation analysis based on Shannon entropy. Commun. Nonlinear Sci. Numer. Simul. 30(Issues): 268-283 (2016) - [j11]Jianan Xia, Pengjian Shang, Jing Wang, Wenbin Shi:
Permutation and weighted-permutation entropy analysis for the complexity of nonlinear time series. Commun. Nonlinear Sci. Numer. Simul. 31(Issues): 60-68 (2016) - [j10]Mengjia Xu, Pengjian Shang, Jingjing Huang:
Modified generalized sample entropy and surrogate data analysis for stock markets. Commun. Nonlinear Sci. Numer. Simul. 35: 17-24 (2016) - [j9]Jing Wang, Pengjian Shang, Wenbin Shi, Xingran Cui:
Dissimilarity measure based on ordinal pattern for physiological signals. Commun. Nonlinear Sci. Numer. Simul. 37: 115-124 (2016) - [j8]Songhan Bian, Pengjian Shang:
Refined two-index entropy and multiscale analysis for complex system. Commun. Nonlinear Sci. Numer. Simul. 39: 233-247 (2016) - 2015
- [j7]Yi Yin, Pengjian Shang, Jianan Xia:
Compositional segmentation of time series in the financial markets. Appl. Math. Comput. 268: 399-412 (2015) - [j6]Mengjia Xu, Pengjian Shang, Jianan Xia:
Traffic signals analysis using qSDiff and qHDiff with surrogate data. Commun. Nonlinear Sci. Numer. Simul. 28(Issues): 98-108 (2015) - 2013
- [j5]Jing Wang, Pengjian Shang, Keqiang Dong:
Effect of linear and nonlinear filters on multifractal analysis. Appl. Math. Comput. 224: 337-345 (2013) - 2010
- [j4]Keqiang Dong, Pengjian Shang:
Do self-similar sets with positive Lebesgue measure contain an interval? Appl. Math. Lett. 23(2): 207-211 (2010) - [j3]Pengjian Shang, Keqiang Dong, Santi Kama:
Modeling Cross-Correlations of Traffic Flow. Int. J. Bifurc. Chaos 20(10): 3323-3328 (2010)
2000 – 2009
- 2007
- [j2]Pengjian Shang, Meng Wan, Santi Kama:
Fractal nature of highway traffic data. Comput. Math. Appl. 54(1): 107-116 (2007) - 2001
- [j1]Pengjian Shang, Karl Widder:
Fractal dimension of quasi-periodic orbits. Appl. Math. Lett. 14(8): 969-973 (2001)
Coauthor Index
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