Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series

By Zhongke Gao, Shan Li, Weidong Dang, Yuxuan Yang, Y. Do, Celso Grebogi. 2017

60 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Economics and Econometrics, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Aiiad Ahmad Albeshri
2. Iyad A. Katib
3. Ruijin Du
4. H. Eugene Stanley
5. Lin Chen
6. Chao Wang
7. Minggang Wang
8. Rashid Mehmood

In Economics and Econometrics

1. Ruijin Du
2. Minggang Wang
3. H. Eugene Stanley
4. Lin Chen
5. Chao Wang
6. Zhilin Qiao
7. Ladislav Kristoufek
8. Ling-Yun He

In Statistical and Nonlinear Physics

1. Minggang Wang
2. H. Eugene Stanley
3. Ladislav Kristoufek
4. Mark Newman
5. Ling-Yun He
6. Shu-Peng Chen

Citations in the corpus

• Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market? (2018, background): “[28] propose a new wavelet multiresolution complex network for analyzing multivariate time series, which is capable of analyzing the information in the dynamical and topological fields and is successfully applied in many research fields.”
• UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities (2018, methodology): “It uses many diverse methods and have found applications in many areas [94], [95].”