Multiscale Window Transform. - X. San Liang; Donald G. M. Anderson (Multiscale Model. Simul., 2007)

Remarkable evolutionary laws of absolute and relative entropies with dynamical systems - X. San Liang (CoRR, 2010)

The Liang-Kleeman Information Flow: Theory and Applications. - X. San Liang (Entropy, 2013)

Entropy Evolution and Uncertainty Estimation with Dynamical Systems. - X. San Liang (Entropy, 2014)

Spatiotemporal shoreline dynamics of Namibian coastal lagoons derived by a dense remote sensing time series approach. - Chenxu Ji; Yuanzhi Zhang; Qiuming Cheng; JinYeu Tsou; Tingchen Jiang; X. San Liang (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Monitoring of chlorophyll-a and sea surface silicate concentrations in the south part of Cheju island in the East China sea using MODIS data. - Yuanzhi Zhang; Zhaojun Huang; Dongyang Fu; Jin Yeu Tsou; Tingchen Jiang; X. San Liang; Xia Lu (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Chlorophyll-a Estimation in Turbid Waters Using Combined SAR Data With Hyperspectral Reflectance Data: A Case Study in Lake Taihu, China. - Yuanzhi Zhang; Martti Hallikainen; Hongsheng Zhang 001; Hongtao Duan 001; Yu Li 009; X. San Liang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

A Study of the Cross-Scale Causation and Information Flow in a Stormy Model Mid-Latitude Atmosphere. - X. San Liang (Entropy, 2019)

Panel Data Causal Inference Using a Rigorous Information Flow Analysis for Homogeneous, Independent and Identically Distributed Datasets. - Yineng Rong; X. San Liang (IEEE Access, 2021)

Measuring the importance of individual units in producing the collective behavior of a complex network. - X. San Liang (CoRR, 2021)

An overview of the quantitative causality analysis and causal graph reconstruction based on a rigorous formalism of information flow. - X. San Liang (CoRR, 2021)

Normalized Multivariate Time Series Causality Analysis and Causal Graph Reconstruction. - X. San Liang (Entropy, 2021)

A Note on Causation versus Correlation in an Extreme Situation. - X. San Liang; Xiu-Qun Yang (Entropy, 2021)

The Causal Interaction between Complex Subsystems. - X. San Liang (Entropy, 2022)

An Information Flow-Based Sea Surface Height Reconstruction Through Machine Learning. - Yineng Rong; X. San Liang (IEEE Trans. Geosci. Remote. Sens., 2022)

Quantitative causality, causality-guided scientific discovery, and causal machine learning. - X. San Liang; Dake Chen; Renhe Zhang (CoRR, 2024)

Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow. - Shan Sun; Fei Wang; Fen Xu; Yufeng Deng; Jiwang Ma; Kai Chen; Sheng Guo; X. San Liang; Tao Zhang (NeuroImage, 2025)