Renguang Zuo

About Renguang Zuo

Renguang Zuo, With an exceptional h-index of 48 and a recent h-index of 41 (since 2020), a distinguished researcher at China University of Geosciences Wuhan, specializes in the field of Geodata science,Geochemical anomalies identification, Mineral prospectivity mapping, Fractal/multifractal, Deep learning.

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

Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping

Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability

Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation

Mapping geochemical anomalies by accounting for the uncertainty of mineralization-related elemental associations

Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity

A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration

Uncertainty quantification in geochemical mapping: A review and recommendations

A Heterogeneous Graph Construction Method for Mineral Prospectivity Mapping

Renguang Zuo Information

University

Position

___

Citations(all)

7511

Citations(since 2020)

5380

Cited By

3611

hIndex(all)

48

hIndex(since 2020)

41

i10Index(all)

123

i10Index(since 2020)

111

Email

University Profile Page

China University of Geosciences Wuhan

Google Scholar

View Google Scholar Profile

Renguang Zuo Skills & Research Interests

Geodata science,Geochemical anomalies identification

Mineral prospectivity mapping

Fractal/multifractal

Deep learning

Top articles of Renguang Zuo

Title

Journal

Author(s)

Publication Date

Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping

Mathematical Geosciences

Fanfan Yang

Renguang Zuo

2024/4/29

Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability

Mathematical Geosciences

Chunjie Zhang

Renguang Zuo

2024/1/20

Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation

Mathematical Geosciences

Yihui Xiong

Renguang Zuo

Oliver P Kreuzer

2024/4/2

Mapping geochemical anomalies by accounting for the uncertainty of mineralization-related elemental associations

EGUsphere

Jian Wang

Renguang Zuo

Qinghai Liu

2024/1/10

Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity

Mathematical Geosciences

Fanfan Yang

Renguang Zuo

Yihui Xiong

Ying Xu

Jiaxin Nie

...

2024/3/22

A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration

Computers & Geosciences

Renguang Zuo

Ying Xu

2024/1/1

Uncertainty quantification in geochemical mapping: A review and recommendations

J Wang

R Zuo

2024/3

A Heterogeneous Graph Construction Method for Mineral Prospectivity Mapping

Natural Resources Research

Luyi Shi

Ying Xu

Renguang Zuo

2024/5/2

Leucogranite mapping via convolutional recurrent neural networks and geochemical survey data in the Himalayan orogen

Geoscience Frontiers

Ziye Wang

Tong Li

Renguang Zuo

2024/1/1

An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images

Applied soft computing

Yandre MG Costa

Luiz S Oliveira

Carlos N Silla Jr

2017/3/1

Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network

International Journal of Applied Earth Observation and Geoinformation

Yanni Dong

Zhenzhen Yang

Quanwei Liu

Renguang Zuo

Ziye Wang

2024/5/1

ArcMPM: An ArcEngine-Based Software for Mineral Prospectivity Mapping via Artificial Intelligence Algorithms

Natural Resources Research

Renguang Zuo

Luyi Shi

Fanfan Yang

Ying Xu

Yihui Xiong

2024/2

The behavior of hydrothermal mineralization with spatial variations of fluid pressure

Journal of Geophysical Research: Solid Earth

Yihui Xiong

Renguang Zuo

Stephen A Miller

2023/2

Metallogenic-factor variational autoencoder for geochemical anomaly detection by ad-hoc and post-hoc interpretability algorithms

Natural Resources Research

Zijing Luo

Renguang Zuo

Yihui Xiong

Bao Zhou

2023/6

An interpretable attention branch convolutional neural network for identifying geochemical anomalies related to mineralization

Journal of Geochemical Exploration

Fanfan Yang

Renguang Zuo

Yihui Xiong

Jian Wang

Gubin Zhang

2023/9/1

A Monte Carlo-based Workflow for Geochemical Anomaly Identification Under Uncertainty and Global Sensitivity Analysis of Model Parameters

Mathematical Geosciences

Jian Wang

Renguang Zuo

2023/11

Quantification of uncertainty associated with evidence layers in mineral prospectivity mapping using direct sampling and convolutional neural network

Natural Resources Research

Fanfan Yang

Ziye Wang

Renguang Zuo

Siquan Sun

Bao Zhou

2023/2

Recognizing geochemical patterns related to mineralization using a self-organizing map

Applied Geochemistry

Zhiyi Chen

Yihui Xiong

Bojun Yin

Siquan Sun

Renguang Zuo

2023/4/1

The graph attention network and its post-hoc explanation for recognizing mineralization-related geochemical anomalies

Applied Geochemistry

Ying Xu

Renguang Zuo

Gubin Zhang

2023/8/1

Machine learning-based mapping for mineral exploration

Mathematical Geosciences

Renguang Zuo

Emmanuel John M Carranza

2023/10

See List of Professors in Renguang Zuo University(China University of Geosciences Wuhan)

Co-Authors

H-index: 53
Jef Caers

Jef Caers

Stanford University

H-index: 36
Xiangyun Hu

Xiangyun Hu

China University of Geosciences Wuhan

H-index: 30
Buccianti Antonella

Buccianti Antonella

Università degli Studi di Firenze

H-index: 24
Yihui Xiong

Yihui Xiong

China University of Geosciences Wuhan

H-index: 16
Guoxiong Chen

Guoxiong Chen

China University of Geosciences Wuhan

H-index: 15
Yanni Dong

Yanni Dong

China University of Geosciences Wuhan

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