Yang Liu - Concepedia

Author

Yang Liu

Argonne National Laboratory ORCID

Also Known As

LIU Yang, Liu Yang, Liu, Y., Liu, Yang, Xiaodong Sun, Y. Liu, YANG LIU, Yang Liu, Yang, Liu

120

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

Argonne National Laboratory North Carolina State University University of Michigan Tsinghua University University of Chinese Academy of Sciences

About

Yang Liu is an author at Argonne National Laboratory specializing in engineering, numerical simulation, and heat transfer.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	22	854
2	Applied Physics	2	2	72
3	Medicine	1	1	16
4	Public Health	1	1	67
5	Biomedical Engineering	1	1	121

Yang Liu

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network Allen Zhang, Kelvin C. P. Wang, Yue Fei, Computer-Aided Civil and Infrastructure Engineering	2018	278
Data-driven modeling for boiling heat transfer: Using deep neural networks and high-fidelity simulation results Yang Liu, Nam Dinh, Yohei Sato, Applied Thermal Engineering Data-driven ModelingThermodynamic ModellingHeat Transfer ProcessEngineeringData Science	2018	138
Degradation and cytotoxicity of lotus-type porous pure magnesium as potential tissue engineering scaffold material Xuenan Gu, Wenxiong Zhou, Yufeng Zheng, Materials Letters Tissue EngineeringMaterials ScienceRegenerative MedicineEngineeringCorrosion	2010	121
Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides Yang Liu, Jean‐Matthieu Haussaire, Marc Bocquet, Quarterly Journal of the Royal Meteorological Society Pollutant Source RetrievalEnvironmental MonitoringEngineeringAir Pollution MeasurementRadioactive Contamination	2017	67
Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments Yang Liu Reliability Engineering & System Safety EngineeringUncertainty QuantificationFluid MechanicsNumerical SimulationMultiphysics Problem	2021	63
Flow and thermal analyses of regenerative cooling in non-uniform channels for combustion chamber Tingting Jing, Guoqiang He, Wenqiang Li, Applied Thermal Engineering EngineeringHeat ExchangerCombustion ScienceHeat Transfer EnhancementThermal Management	2017	58
Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach Yang Liu, Nam Dinh, Ralph C. Smith, International Journal of Heat and Mass Transfer Thermodynamic ModellingEngineeringUncertainty QuantificationNumerical SimulationMultiphysics Problem	2019	54
Microscopic mechanisms of heat transfer in horizontal-tube falling film evaporation Luopeng Yang, Yang Liu, Yan Yang, Desalination Heat Transfer ProcessEngineeringFluid MechanicsFilm EvaporationApplied Physics	2016	53
Neural Network Methods for Natural Language Processing Yang Liu, Meng Zhang Computational Linguistics	2017	47
Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments Yang Liu, Xiaodong Sun, Nam Dinh Nuclear Engineering and Design Numerical AnalysisMultiphase-cfd SolversData-driven Bayesian FrameworkEngineeringPde-constrained Optimization	2019	36

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