Q. J. Xu
Sinopec (China)(CN)North China University of Science and Technology(CN)California NanoSystems Institute(US)University of California, Los Angeles(US)Hangzhou Normal University(CN)Hunan University(CN)Harbin Institute of Technology(CN)Fudan University(CN)Inner Mongolia University(CN)University of Jinan(CN)
Research Areas
Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions, High-Energy Particle Collisions Research, Neutrino Physics Research, Black Holes and Theoretical Physics
Most-Cited Works
- → Constructing Interpretable Machine Learning Models for Predicting Reaction Equilibrium Constant of Carbonyl Sulfide with Organic Amines(2025)2 cited
- → Knowledge embedding and interpretable machine learning optimize comprehensive benefits for water treatment(2025)2 cited
- → Rogue hunters: A dual-branch deep learning framework with regional insight and gradient-enhanced loss for optical rogue wave prediction(2025)1 cited
- → On the interpretability and CO2 sensitivity of machine learning–based stomatal conductance models(2025)
- → Mechanistic insight into impacts of Cl− and Br− at high contents on phenol degradation and halogenated by-product formation in O3/H2O2 process(2025)
- → High-Accuracy Prediction of Pelletized Ore Performance Using an Integrated LightGBM-XGBoost Chain Model(2025)