Nanzhe Wang - Concepedia

Author

Nanzhe Wang

Southern University of Science and Technology ORCID

Also Known As

Nanzhe Wang, Wang, Nanzhe

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Southern University of Science and Technology Peking University Peng Cheng Laboratory Chinese Academy of Medical Sciences & Peking Union Medical College Eastern Institute of Technology, Ningbo

About

Nanzhe Wang is an author at Southern University of Science and Technology specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	672
2	Computer Science	3	3	126
3	Civil Engineering	2	2	70
4	Applied Physics	1	1	29
5	Computer Engineering	1	1	53

Nanzhe Wang

Publications

Citations

H-Index

Page 1

	Year	Citations
Deep learning of subsurface flow via theory-guided neural network Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Journal of Hydrology Geometric LearningEngineeringMachine LearningDeep Learning	2020	299
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method Yuntian Chen, Dou Huang, Dongxiao Zhang, Journal of Computational Physics	2021	133
Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network Nanzhe Wang, Haibin Chang, Dongxiao Zhang Computer Methods in Applied Mechanics and Engineering Numerical AnalysisEngineeringNeural NetworkTgnn SurrogateUncertain Data	2020	73
Theory-guided Auto-Encoder for surrogate construction and inverse modeling Nanzhe Wang, Haibin Chang, Dongxiao Zhang Computer Methods in Applied Mechanics and Engineering	2021	68
Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow Rui Xu, Dongxiao Zhang, Rong Miao, Journal of Computational Physics EngineeringMachine LearningPhysic Aware Machine LearningDeep LearningTwo-phase Flow	2021	60
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network Nanzhe Wang, Haibin Chang, Dongxiao Zhang Journal of Computational Physics	2022	59
Efficient well placement optimization based on theory-guided convolutional neural network Nanzhe Wang, Haibin Chang, Dongxiao Zhang, Journal of Petroleum Science and Engineering Artificial IntelligenceReservoir SimulationConvolutional Neural NetworkEngineeringMachine Learning	2021	53
Efficient Uncertainty Quantification and Data Assimilation via Theory-Guided Convolutional Neural Network Nanzhe Wang, Haibin Chang, Dongxiao Zhang SPE Journal Convolutional Neural NetworkEngineeringMachine LearningUncertain DataUncertainty Modeling	2021	44
Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability Nanzhe Wang, Haibin Chang, Xiang-Zhao Kong, Renewable Energy	2023	39
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data Hao Xu, Dongxiao Zhang, Nanzhe Wang Journal of Computational Physics	2021	35

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