Xiaogang Ma

Associate Professor

University of Idaho

United States

Research Interests

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About

Xiaogang Ma is an Associate Professor at the University of Idaho, USA. His research primarily focuses on deep learning applications in geoscience, with recent articles addressing topics such as hydrogeological characterization, geochemical prediction, and data-intensive geoscience discoveries. He is actively engaged in developing innovative methodologies for integrating artificial intelligence and machine learning to enhance geological research and data analysis.

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Collaborators (1)

Haifeng (Felix) Liao

University of Idaho

UNITED STATES

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Xiaogang Ma

Research Interests

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About

Articles (28)

A conditional masked autoencoder network based on efficient multiple-head self-attention for characterizing heterogeneous reservoirs

Interpretable deep learning-based characterization of hydrogeological structures with self-representation learning

Integrating neuro-symbolic AI and knowledge graph for enhanced geochemical prediction in copper deposits

The OpenMindat v1.0.0 R package: a machine interface to Mindat open data to facilitate data-intensive geoscience discoveries

An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization

Mapping the Evolution of Mathematical Geoscience Research with Big Literature Data and Context-Aware Text Mining

Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research

Geological object recognition in legacy maps through data augmentation and transfer learning techniques

Streamlining geoscience data analysis with an LLM-driven workflow

Exploring Urban Heat Distribution and Thermal Comfort Exposure Using Spatiotemporal Weighted Regression (STWR)

Using adjacency matrix to explore remarkable associations in big and small mineral data

A hybrid knowledge graph for efficient exploration of lithostratigraphic information in open text data

Empirical Analysis of a Super-SBM-Based Framework for Wetland Carbon Stock Safety Assessment

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

The Average Symmetry Index of Minerals Co-Varies with Their Hydrogen Content, Rarity, and Paragenetic Mode

Using a 3D heat map to explore the diverse correlations among elements and mineral species

An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System

Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network

Geoweaver_cwl: Transforming geoweaver AI workflows to common workflow language to extend interoperability

What is mineral informatics?

OpenMindat: Open and FAIR mineralogy data from the Mindat database

Land Cover Impacts on Surface Temperatures: Evaluation and Application of a Novel Spatiotemporal Weighted Regression Approach

Three-Dimensional Geological Modeling of the Shallow Subsurface and Its Application: A Case Study in Tongzhou District, Beijing, China

Named entity annotation schema for geological literature mining in the domain of porphyry copper deposits

Geological Hazards Susceptibility Evaluation Based on GA‐BPNN: A Case Study of Xingye County

Data sharing: more science unions must act

Incorporate temporal topology in a deep‐time knowledge base to facilitate data‐driven discovery in geoscience

Toward Trust-Based Recommender Systems for Open Data: A Literature Review

Collaborators (1)

Haifeng (Felix) Liao

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