Hung Vo Thanh

Hung Vo Thanh

Seoul National University

H-index: 18

Asia-South Korea

About Hung Vo Thanh

Hung Vo Thanh, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Machine Learning, Hydrogen storage, Battery manangement, Reservoir Simulation, CCUS.

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

Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage

Hybrid Approach for Early Warning of Mine Water: Energy Density Based Identification of Water-Conducting Channels Combined with Water Inflow Prediction By SA-LSTM

Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage

Molecular Insights into Multiphase Transport through Realistic Kerogen-Based Nanopores

Inter-layer interference for multi-layered tight gas reservoir in the absence and presence of movable water

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern–a theoretical study

Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production

Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications

Hung Vo Thanh Information

University

Position

___

Citations(all)

1070

Citations(since 2020)

1070

Cited By

33

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

Seoul National University

Google Scholar

View Google Scholar Profile

Hung Vo Thanh Skills & Research Interests

Machine Learning

Hydrogen storage

Battery manangement

Reservoir Simulation

CCUS

Top articles of Hung Vo Thanh

Title

Journal

Author(s)

Publication Date

Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage

International Journal of Hydrogen Energy

Thanh Hung Vo

Hemeng Zhang

Zhenxue Dai

Tao Zhang

Suparit Tangparitkul

...

2024/2/15

Hybrid Approach for Early Warning of Mine Water: Energy Density Based Identification of Water-Conducting Channels Combined with Water Inflow Prediction By SA-LSTM

IEEE Transactions on Geoscience and Remote Sensing

Songlin Yang

Huiqing Lian

Mohamad Reza Soltanian

Bin Xu

Wei Liu

...

2024/4/4

Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage

Journal of Environmental Chemical Engineering

Ahmed A Ewees

Hung Vo Thanh

Mohammed AA Al-qaness

Mohamed Abd Elaziz

Ahmed H Samak

2024/2/14

Molecular Insights into Multiphase Transport through Realistic Kerogen-Based Nanopores

Energy & Fuels

Yulong Zhao

Bowen Guan

Tao Zhang

Haoran Hu

Jian Zheng

...

2024/3/13

Inter-layer interference for multi-layered tight gas reservoir in the absence and presence of movable water

Petroleum Science

Tao Zhang

Bin-Rui Wang

Yu-Long Zhao

Lie-Hui Zhang

Xiang-Yang Qiao

...

2024/1/11

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern–a theoretical study

Expert Systems with Applications

Shadfar Davoodi

Hung Vo Thanh

David A Wood

Mohammad Mehrad

Mohammed Al-Shargabi

...

2024/9/15

Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production

International Journal of Hydrogen Energy

Hung Vo Thanh

Zhenxue Dai

Zhengyang Du

Huichao Yin

Bicheng Yan

...

2024/2/29

Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications

Scientific Reports

W.J. Al-Mudhafar

T.H. Vo

D.A. Wood

Baehyun Min

2024/1/2

Predicting Dynamic Contact Angle in Immiscible Fluid Displacement: A Machine Learning Approach for Subsurface Flow Applications

Energy & Fuels

Nopparuj Suetrong

Teerapat Tosuai

Hung Vo Thanh

Watchanan Chantapakul

Suparit Tangparitkul

...

2024/2/27

Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges

Zhengyang Du

Zhenxue Dai

Zhijie Yang

Chuanjun Zhan

Wei Chen

...

2024/5/1

Catalyzing net-zero carbon strategies: Enhancing CO2 flux Prediction from underground coal fires using optimized machine learning models

Journal of Cleaner Production

Hemeng Zhang

Pengcheng Wang

Mohammad Rahimi

Hung Vo Thanh

Yongjun Wang

...

2024/2/15

Retardation factor scaling for contaminant transport in fractured media

Advances in Water Resources

Sida Jia

Funing Ma

Zhijie Yang

Zhichao Zhou

Hui Ling

...

2024/4/21

Hydrogen storage on porous carbon adsorbents: rediscovery by nature-derived algorithms in random forest machine learning model

Energies

Hung Vo Thanh

Sajad Ebrahimnia Taremsari

Benyamin Ranjbar

Hossein Mashhadimoslem

Ehsan Rahimi

...

2023/2/28

Depositional and diagenetic modeling of the Margala Hill Limestone, Hazara area (Pakistan): Implications for reservoir characterization using outcrop analogues

Geoenergy Science and Engineering

Shuja Ullah

Muhammad Hanif

Ahmed E Radwan

Chuanxiu Luo

Nazir Ur Rehman

...

2023/5/1

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

Separation and Purification Technology

Shadfar Davoodi

Hung Vo Thanh

David A Wood

Mohammad Mehrad

Mohammed Al-Shargabi

...

2023/7/1

Development of an in-situ gel from CO2-captured complex solution and inhibiting coal spontaneous combustion: A case study in thermal engineering

Case Studies in Thermal Engineering

Hemeng Zhang

Hung Vo Thanh

Fangwei Han

Yongjun Wang

Xun Zhang

...

2023/10/1

Experimental study of moisture effects on spontaneous combustion of Baiyinhua lignite from individual particles to stockpile

Fuel

Hemeng Zhang

Yongjun Wang

Xiaoming Zhang

Kyuro Sasaki

Yuichi Sugai

...

2023/2/15

Application of robust deep learning models to predict mine water inflow: Implication for groundwater environment management

Science of the Total Environment

Songlin Yang

Huiqing Lian

Bin Xu

Hung Vo Thanh

Wei Chen

...

2023/5/1

Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage

Science of The Total Environment

Hemeng Zhang

Hung Vo Thanh

Mohammad Rahimi

Watheq J Al-Mudhafar

Suparit Tangparitkul

...

2023/6/15

Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations

Applied Soft Computing

Shadfar Davoodi

Hung Vo Thanh

David A Wood

Mohammad Mehrad

Valeriy S Rukavishnikov

2023/8/1

See List of Professors in Hung Vo Thanh University(Seoul National University)