Yihui Xiong

About Yihui Xiong

Yihui Xiong, With an exceptional h-index of 24 and a recent h-index of 24 (since 2020), a distinguished researcher at China University of Geosciences Wuhan, specializes in the field of machine learning earth science mineral potential mapping.

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

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

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

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

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

Revealing geochemical patterns associated with mineralization using t-distributed stochastic neighbor embedding and random forest

The behavior of hydrothermal mineralization with spatial variations of fluid pressure

A new generation of artificial intelligence algorithms for mineral prospectivity mapping

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

Yihui Xiong Information

University

Position

___

Citations(all)

2059

Citations(since 2020)

1944

Cited By

483

hIndex(all)

24

hIndex(since 2020)

24

i10Index(all)

31

i10Index(since 2020)

30

Email

University Profile Page

China University of Geosciences Wuhan

Google Scholar

View Google Scholar Profile

Yihui Xiong Skills & Research Interests

machine learning earth science mineral potential mapping

Top articles of Yihui Xiong

Title

Journal

Author(s)

Publication Date

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

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

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

Mathematical Geosciences

Yihui Xiong

Renguang Zuo

Oliver P Kreuzer

2024/4/2

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

Revealing geochemical patterns associated with mineralization using t-distributed stochastic neighbor embedding and random forest

Mathematical Geosciences

Zixian Shi

Renguang Zuo

Yihui Xiong

Siquan Sun

Bao Zhou

2023/4

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

A new generation of artificial intelligence algorithms for mineral prospectivity mapping

Natural Resources Research

Renguang Zuo

Yihui Xiong

Ziye Wang

Jian Wang

Oliver P Kreuzer

2023/10

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

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

A geologically constrained variational autoencoder for mineral prospectivity mapping

Natural Resources Research

Renguang Zuo

Zijing Luo

Yihui Xiong

Bojun Yin

2022/6

A geologically-constrained deep learning algorithm for recognizing geochemical anomalies

Computers & Geosciences

Chunjie Zhang

Renguang Zuo

Yihui Xiong

Xinfu Zhao

Kuidong Zhao

2022/5/1

A physically constrained variational autoencoder for geochemical pattern recognition

Mathematical Geosciences

Yihui Xiong

Renguang Zuo

Zijing Luo

Xueqiu Wang

2022/5/1

Visual interpretable deep learning algorithm for geochemical anomaly recognition

Natural Resources Research

Zijing Luo

Renguang Zuo

Yihui Xiong

2022/10

Mineral prospectivity mapping via gated recurrent unit model

Natural Resources Research

Bojun Yin

Renguang Zuo

Yihui Xiong

2022/8/1

Robust feature extraction for geochemical anomaly recognition using a stacked convolutional denoising autoencoder

Mathematical Geosciences

Yihui Xiong

Renguang Zuo

2021/2/25

Uncertainties in GIS-based mineral prospectivity mapping: Key types, potential impacts and possible solutions

Renguang Zuo

Oliver P Kreuzer

Jian Wang

Yihui Xiong

Zhenjie Zhang

...

2021/10

A positive and unlabeled learning algorithm for mineral prospectivity mapping

Computers & Geosciences

Yihui Xiong

Renguang Zuo

2021/2/1

The processing methods of geochemical exploration data: Past, present, and future

Renguang Zuo

Jian Wang

Yihui Xiong

Ziye Wang

2021/9/1

Random-drop data augmentation of deep convolutional neural network for mineral prospectivity mapping

Natural Resources Research

Tong Li

Renguang Zuo

Yihui Xiong

Yong Peng

2021/2

Detection of geochemical anomalies related to mineralization using the GANomaly network

Applied Geochemistry

Zijing Luo

Renguang Zuo

Yihui Xiong

Xueqiu Wang

2021/8/1

See List of Professors in Yihui Xiong University(China University of Geosciences Wuhan)

Co-Authors

H-index: 75
E.J.M. (John) Carranza

E.J.M. (John) Carranza

University of KwaZulu-Natal

H-index: 71
Keith C. Clarke

Keith C. Clarke

University of California, Santa Barbara

H-index: 48
Renguang Zuo

Renguang Zuo

China University of Geosciences Wuhan

H-index: 25
Stephen A. Miller

Stephen A. Miller

Université de Neuchâtel

H-index: 16
Guoxiong Chen

Guoxiong Chen

China University of Geosciences Wuhan

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