Liangping Li

Liangping Li

South Dakota School of Mines and Technology

H-index: 23

North America-United States

About Liangping Li

Liangping Li, With an exceptional h-index of 23 and a recent h-index of 17 (since 2020), a distinguished researcher at South Dakota School of Mines and Technology, specializes in the field of Upscaling, Inverse problem, Geostatistics, Machine Learning, Hydrogeology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Leveraging deep learning with progressive growing GAN and ensemble smoother with multiple data assimilation for inverse modeling

Progressive growing generative adversarial networks using conditioning ratio for facies modeling in complex aquifers

Stochastic inversion of discrete fracture networks using genetic algorithms

Landform sedimentary contributed to groundwater nitrate vulnerability in multi-alluvial fan aquifer systems in a watershed

A sharp contrasting occurrence of iron-rich groundwater in the Pearl River Delta during the past dozen years (2006–2018): The genesis and mitigation effect

Geochemical factors controlling natural background levels of phosphate in various groundwater units in a large-scale urbanized area

Teaching groundwater flow and contaminant transport modeling via a sand-tank model

Variational autoencoder or generative adversarial networks? A comparison of two deep learning methods for flow and transport data assimilation

Liangping Li Information

University

Position

Assistant Professor of Hydrogeology

Citations(all)

1907

Citations(since 2020)

1093

Cited By

1229

hIndex(all)

23

hIndex(since 2020)

17

i10Index(all)

34

i10Index(since 2020)

30

Email

University Profile Page

South Dakota School of Mines and Technology

Google Scholar

View Google Scholar Profile

Liangping Li Skills & Research Interests

Upscaling

Inverse problem

Geostatistics

Machine Learning

Hydrogeology

Top articles of Liangping Li

Title

Journal

Author(s)

Publication Date

Leveraging deep learning with progressive growing GAN and ensemble smoother with multiple data assimilation for inverse modeling

Advances in Water Resources

Michael Tetteh

Liangping Li

Arden Davis

2024/5/1

Progressive growing generative adversarial networks using conditioning ratio for facies modeling in complex aquifers

Hydrogeology Journal

Fleford Redoloza

Liangping Li

Arden Davis

2023/9

Stochastic inversion of discrete fracture networks using genetic algorithms

Advances in Water Resources

Fleford Redoloza

Liangping Li

Arden Davis

2023/8/1

Landform sedimentary contributed to groundwater nitrate vulnerability in multi-alluvial fan aquifer systems in a watershed

Environmental Earth Sciences

Wenzhao Feng

Shiqin Wang

Chunsheng Hu

Liangping Li

2023/7

A sharp contrasting occurrence of iron-rich groundwater in the Pearl River Delta during the past dozen years (2006–2018): The genesis and mitigation effect

Science of The Total Environment

Guanxing Huang

Dongya Han

Jiangmin Song

Liangping Li

Lixin Pei

2022/7/10

Geochemical factors controlling natural background levels of phosphate in various groundwater units in a large-scale urbanized area

Journal of Hydrology

Pan Bi

Guanxing Huang

Chunyan Liu

Liangping Li

2022/5/1

Teaching groundwater flow and contaminant transport modeling via a sand-tank model

Mathematical Geosciences

Liangping Li

Arden D Davis

2022/11

Variational autoencoder or generative adversarial networks? A comparison of two deep learning methods for flow and transport data assimilation

Mathematical Geosciences

Jichao Bao

Liangping Li

Arden Davis

2022/8

Stochastic Modeling in Hydrogeology

J Jaime Gómez-Hernández

Liangping Li

Teng Xu

Andrés Alcolea

2021/5/17

A comparison of extremal optimization, differential evolution and particle swarm optimization methods for well placement design in groundwater management

Mathematical Geosciences

Fleford Redoloza

Liangping Li

2021/5

Coupling ensemble smoother and deep learning with generative adversarial networks to deal with non-Gaussianity in flow and transport data assimilation

Journal of Hydrology

Jichao Bao

Liangping Li

Fleford Redoloza

2020/11/1

Spatial distribution and origin of shallow groundwater iodide in a rapidly urbanized delta: A case study of the Pearl River Delta

Journal of Hydrology

Guanxing Huang

Chunyan Liu

Liangping Li

Fenge Zhang

Zongyu Chen

2020/6/1

Soil hydraulic parameters estimation using ground penetrating radar data via ensemble smoother with multiple data assimilation

Journal of Hydrology

Fan Cui

Jichao Bao

Zhendan Cao

Liangping Li

Qiang Zheng

2020/4/1

IAMG 2019

Juliana Y Leung

Liangping Li

Eugene Morgan

Hamid Emami-Meybodi

2020/11

See List of Professors in Liangping Li University(South Dakota School of Mines and Technology)

Co-Authors

H-index: 68
Steven L. Bryant

Steven L. Bryant

University of Calgary

H-index: 45
J. Jaime Gómez-Hernández

J. Jaime Gómez-Hernández

Universidad Politécnica de València

H-index: 30
Xiaoqing Shi(施小清)

Xiaoqing Shi(施小清)

Nanjing University

H-index: 25
Juliana Y. Leung

Juliana Y. Leung

University of Alberta

H-index: 21
Hamid Emami-Meybodi

Hamid Emami-Meybodi

Penn State University

H-index: 12
Teng Xu

Teng Xu

Hohai University

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