Zhenxue Dai

About Zhenxue Dai

Zhenxue Dai, With an exceptional h-index of 48 and a recent h-index of 36 (since 2020), a distinguished researcher at Jilin University, specializes in the field of Geochemical modeling, upscaling, carbon storage, reservoir characterization, nuclear waste disposal.

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

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

Spatio-temporal sequence prediction of CO2 flooding and sequestration potential under geological and engineering uncertainties

Identifying transient storage model parameters in karst conduits using the normal-score ensemble smoother with multiple data assimilation

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

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

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

Adsorption of Coxsackievirus in Sediments: Influencing Factors, Kinetics, and Isotherm Modeling

Investigating the role of Na-bentonite colloids in facilitating Sr transport in granite minerals through column experiments and modeling

Zhenxue Dai Information

University

Position

___

Citations(all)

7557

Citations(since 2020)

4973

Cited By

4196

hIndex(all)

48

hIndex(since 2020)

36

i10Index(all)

145

i10Index(since 2020)

133

Email

University Profile Page

Google Scholar

Zhenxue Dai Skills & Research Interests

Geochemical modeling

upscaling

carbon storage

reservoir characterization

nuclear waste disposal

Top articles of Zhenxue Dai

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

2024/4/4

Spatio-temporal sequence prediction of CO2 flooding and sequestration potential under geological and engineering uncertainties

Applied Energy

2024/4/1

Identifying transient storage model parameters in karst conduits using the normal-score ensemble smoother with multiple data assimilation

Journal of Hydrology

2024/3/1

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

International Journal of Hydrogen Energy

2024/2/29

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

Journal of Cleaner Production

2024/2/15

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

2024/2/15

Adsorption of Coxsackievirus in Sediments: Influencing Factors, Kinetics, and Isotherm Modeling

Applied Sciences

2024/2/12

Investigating the role of Na-bentonite colloids in facilitating Sr transport in granite minerals through column experiments and modeling

Journal of Hazardous Materials

2024/2/5

A hybrid physics-informed data-driven neural network for CO2 storage in depleted shale reservoirs

Petroleum Science

2024/2/1

Bacterial community driven nitrogen cycling in coastal sediments of intertidal transition zone

Science of The Total Environment

2024/1/15

Simulating earth deformation evolution caused by groundwater pumping through ordinary state-based Peridynamics method

Journal of Hydrology

2024/5/1

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

2024/5/1

Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence

2024/4/26

Zhenxue Dai
Zhenxue Dai

H-Index: 30

Mohamad Reza Soltanian
Mohamad Reza Soltanian

H-Index: 23

Quantifying the impact of upscaled parameters on radionuclide transport in three-dimensional fracture-matrix systems

Science of The Total Environment

2024/4/21

Retardation factor scaling for contaminant transport in fractured media

Advances in Water Resources

2024/4/21

Data driven simulations for accurately predicting thermodynamic properties of H2 during geological storage

Fuel

2024/4/15

Experimental study and application of similar materials in thick coal seam mining

Frontiers in Energy Research

2024/4/9

Metaheuristic algorithms for groundwater model parameter inversion: Advances and prospects

2024/4/7

Subsurface sedimentary structure identification using deep learning: A review

2023/4/1

Global sensitivity study of non-reactive and sorptive solute dispersivity in multiscale heterogeneous sediments

Journal of Hydrology

2023/4/1

See List of Professors in Zhenxue Dai University(Jilin University)

Co-Authors

academic-engine