Sichuan University | China
Professor Xinhua Xue is a Full Professor at Sichuan University, China, specializing in geotechnical engineering, artificial intelligence, and machine learning applications in civil and hydraulic engineering. He earned his PhD from Zhejiang University in 2008 and has since established a distinguished academic career, including a visiting scholarship at The Pennsylvania State University. Prof. Xue has authored over 170 peer-reviewed journal articles and five scholarly books, with significant contributions to predictive modeling, soil mechanics, and infrastructure stability. Recognized among the “Top 2% World Ranking Scientists” by Stanford University/Elsevier, his research integrates advanced computational techniques such as neural networks, ensemble learning, and soft computing. His extensive collaborations and high-impact publications have advanced engineering practices in areas such as landslide prediction, wave modeling, and foundation analysis, contributing to safer and more sustainable infrastructure development globally.
Citation Metrics (Scopus)
Featured Publications
Physics-informed data-driven model for the prediction of river water temperature (2026).
Engineering Applications of Artificial Intelligence · Journal Article ·
Hybrid ensemble learning for predicting peak deviatoric stress in soil-rock mixtures from triaxial test data (2025).
Engineering Applications of Artificial Intelligence · Journal Article ·
Bayesian framework for evaluating spatial distribution of soil liquefaction based on CPT data (2025).
Soil Dynamics and Earthquake Engineering · Journal Article ·
A novel deep learning-based convolutional neural network – long short-term memory model for predicting weekly significant wave heights (2025).
Ocean Engineering · Journal Article · 📊 Citations: 2
Coupled convolutional neural network with long short-term memory network for predicting lake water temperature (2025).
Journal of Hydrology · Journal Article · 📊 Citations: 4