张智强｜河北地质大学｜学者主页

2026

基于深度学习的辽东半岛五龙金矿集区三维矿产资源定量预测

张智强，王功文，沙德铭，曾庆栋，邱海成

《地学前缘》

2026

Dual-Branch Transformer Model Considering Processes and Spatial Distribution of Mineralization for 3D Mineral Prospectivity Mapping

Zhongzheng Wang, Gong-Wen Wang, Zhiqiang Zhang, Qingming Peng

Natural Resources Research

DOI

2026

FSGA-Net: A Frequency–Spatial Gated Attention Network for Lightweight Aeromagnetic Image Super-Resolution

Zhiqiang Zhang, Emmanuel John M. Carranza, Gongwen Wang

Mathematical Geosciences

DOI

2026

Three-dimensional geological modeling and mineral potential mapping in the world-class Jiaojia–Sanshandao Gold District, China

Zhiqiang Zhang, Gongwen Wang, Emmanuel John M. Carranza, Li-Zhen Cheng, Jun-Jian Li, Yong-Ming Peng

Journal of Applied Geophysics

DOI

2025

基于混合注意力机制的矿田尺度三维岩性建模:以焦家金矿田为例

Feng Li, Gong-Wen Wang, Zi-Yang Lu, Chao Fu, Yang Liu, Yu-Long Dong, Tian-Yi Gong, Zhiqiang Zhang

Earth Science-Journal of China University of Geosciences

DOI

2025

基于空间随机森林的矿产资源定量预测——以河北大庙—红石砬钒钛磁铁矿带为例

卢紫阳，陈文良，王功文，刘新星，李风，张帅，刘烊，东玉龙，张智强

《成都理工大学学报(自然科学版)》

2025

Three-dimensional mineral prospectivity mapping using a residual convolutional neural network with lightweight attention mechanisms

Zhiqiang Zhang, Gongwen Wang, Emmanuel John M. Carranza, Wei Li, Yingjie Li, Li Tang, Xinxing Liu

Ore Geology Reviews

DOI

2025

Deep Subdomain Adaptation Network for Three-Dimensional Mineral Prospectivity Modeling with Imbalanced Data: A Case Study of the Damiao–Hongshila Fe–V–Ti Belt, China

Zhiqiang Zhang, Wenliang Chen, Emmanuel John M. Carranza, Wei Han, Xinxing Liu, Yingjie Li, Juan Zhang, Feng Li, Ziyan Lu, Yongjun Su, Gongwen Wang

Natural Resources Research

DOI

2024

An Uncertainty-Quantification Machine Learning Framework for Data-Driven Three-Dimensional Mineral Prospectivity Mapping

Zhiqiang Zhang, Gong-Wen Wang, Emmanuel John M. Carranza, Jing-Guo Du, Yingjie Li, Xinxing Liu, Yongjun Su

Natural Resources Research

DOI

2024

Mapping of Gold Prospectivity in the Qingchengzi Pb–Zn–Ag–Au Polymetallic District, China, with Ensemble Learning Algorithms

Zhiqiang Zhang, Gong-Wen Wang, Emmanuel John M. Carranza, Yingjie Li, Xinxing Liu, Wuxu Peng, Junjie Fan, Fengming Xu

Natural Resources Research

DOI

2023

Bagging-based Positive–Unlabeled Data Learning Algorithm with Base Learners Random Forest and XGBoost for 3D Exploration Targeting in the Kalatongke District, Xinjiang, China

Meng Gao, Gong-Wen Wang, Wangdong Yang, Zhiqiang Zhang, Dingzhou Cai, Yunchou Xu, Shuren Yang

Natural Resources Research

DOI

2023

An integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and drilling data

Zhiqiang Zhang, Gong-Wen Wang, E. J. Carranza, Chong Liu, Jun-Jian Li, Chao Fu, Xinxing Liu, Chao Chen, Junjie Fan, Yulong Dong

Engineering Geology

DOI

2023

Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets

Zhiqiang Zhang, Yingjie Li, Gong-Wen Wang, E. J. Carranza, Shuren Yang, De-Ming Sha, Junjie Fan, X. Zhang, Yulong Dong

Mathematical Geosciences

DOI

2022

An Integrated Framework for Data-Driven Mineral Prospectivity Mapping Using Bagging-Based Positive-Unlabeled Learning and Bayesian Cost-Sensitive Logistic Regression

Zhiqiang Zhang, Gong-Wen Wang, E. J. Carranza, Junjie Fan, Xinxing Liu, X. Zhang, Yulong Dong, Xiaopeng Chang, De-Ming Sha

Natural Resources Research

DOI

2021

栾川矿集区地学大数据挖掘和三维/四维建模的资源-环境联合预测与定量评价

王功文，张寿庭，燕长海，庞振山，王宏伟，冯占奎，董宏，程红涛，何亚清，李瑞喜，张智强，黄蕾蕾，郭娜娜

《地学前缘》

DOI

2021

华北重点矿集区大数据三维/四维建模与深层次集成的资源预测评价

Gong-Wen Wang, Zhiqiang Zhang, Rui-Xi Li, Jun-Jian Li, De-Ming Sha, Qing-Dong Zeng, Z. Pang, Da-Peng Li, Lei-Lei Huang

SCIENTIA SINICA Terrae

DOI

2021

Resource-environment joint forecasting using big data mining and 3D/4D modeling in Luanchuan mining district, China

Gong-Wen Wang, Shou-Ting Zhang, Chang-Hai Yan, Z. Pang, Hongwei Wang, Zhan-Kui Feng, Hong Dong, Hongtao Cheng, Ya-Qing He, Rui-Xi Li, Zhiqiang Zhang, Lei-Lei Huang, Na-Na Guo

Earth sciences and subsoil use

DOI

2021

Bagging-based positive-unlabeled learning algorithm with Bayesian hyperparameter optimization for three-dimensional mineral potential mapping

Zhiqiang Zhang, Gong-Wen Wang, Chong Liu, Li-Zhen Cheng, De-Ming Sha

Computational Geosciences

DOI

2021

A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)

Ran Jia, Yikai Lv, Gong-Wen Wang, E. J. Carranza, Yong-Qing Chen, Chao Wei, Zhiqiang Zhang

Computational Geosciences

DOI

2021

Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China

Gong-Wen Wang, Zhiqiang Zhang, Rui-Xi Li, Jun-Jian Li, De-Ming Sha, Qing-Dong Zeng, Z. Pang, Da-Peng Li, Lei-Lei Huang

Science China. Earth Sciences

DOI

2021

Three-Dimensional Pseudo-Lithologic Modeling Via Adaptive Feature Weighted k-Means Algorithm from Multi-Source Geophysical Datasets, Qingchengzi Pb–Zn–Ag–Au District, China

Zhiqiang Zhang, Gong-Wen Wang, E. J. Carranza, Shuren Yang, K. Zhao, Wangdong Yang, De-Ming Sha

Natural Resources Research

DOI

2020

四川红泥坡铜矿床三维地质建模及控矿构造演化的新认识

杨旺东，高福磊，王功文，庞振山，沈和明，龚灵明，申红涛，张智强，刘晓宁

《现代地质》

DOI

2020

From 2D to 3D Modeling of Mineral Prospectivity Using Multi-source Geoscience Datasets, Wulong Gold District, China

Zhiqiang Zhang, Jiaojiao Zhang, Gong-Wen Wang, E. J. Carranza, Zong Pang, Hao Wang

Natural Resources Research

DOI

2020

3D mineral exploration targeting with multi-dimensional geoscience datasets, Tongling Cu(-Au) District, China

Zhiqiang Zhang, Gong-Wen Wang, Yun-Na Ding, E. J. Carranza

DOI

2020

Batholith-stock scale exploration targeting based on multi-source geological and geophysical datasets in the Luanchuan Mo polymetallic district, China

Zhiqiang Zhang, Gong-Wen Wang, Zhen-Bo Ma, E. J. Carranza, Wen-Juan Jia, Jing-Guo Du, G. Tao, Zhi-Ping Deng

DOI

2019

Metallogenic model of the Wulong gold district, China, and associated assessment of exploration criteria based on multi-scale geoscience datasets

Zhiqiang Zhang, Gong-Wen Wang, E. J. Carranza, Jiaojiao Zhang, G. Tao, Qing-Dong Zeng, De-Ming Sha, Dong‐Tao Li, Junfeng Shen, Zong Pang

Ore Geology Reviews

DOI

2019

Multi-scale Numerical Simulation and 3D Modeling for Deep Mineral Exploration in the Jiaojia Gold District, China

Lei-Lei Huang, Gong-Wen Wang, E. J. Carranza, Jing-Guo Du, Jun-Jian Li, Zhang-Bing Zhou, Zhiqiang Zhang, Hao Wang, Xiao-Ning Liu, Yongmin Peng, Fu-Qiang Gao, Xian-Yong Zhao

Natural Resources Research

DOI

2018

Extraction of Mineralization-Related Anomalies from Gravity and Magnetic Potential Fields for Mineral Exploration Targeting: Tongling Cu(–Au) District, China

G. Tao, Gong-Wen Wang, Zhiqiang Zhang

Natural Resources Research

DOI

2018

Interactive 3D Modeling by Integration of Geoscience Datasets for Exploration Targeting in Luanchuan Mo Polymetallic District, China

Zhiqiang Zhang, Gong-Wen Wang, Zhen-Bo Ma, Xinyuan Gong

Natural Resources Research

DOI

张智强

精选作品

期刊论文

基于深度学习的辽东半岛五龙金矿集区三维矿产资源定量预测

Dual-Branch Transformer Model Considering Processes and Spatial Distribution of Mineralization for 3D Mineral Prospectivity Mapping

FSGA-Net: A Frequency–Spatial Gated Attention Network for Lightweight Aeromagnetic Image Super-Resolution

Three-dimensional geological modeling and mineral potential mapping in the world-class Jiaojia–Sanshandao Gold District, China

基于混合注意力机制的矿田尺度三维岩性建模:以焦家金矿田为例

基于空间随机森林的矿产资源定量预测——以河北大庙—红石砬钒钛磁铁矿带为例

Three-dimensional mineral prospectivity mapping using a residual convolutional neural network with lightweight attention mechanisms

Deep Subdomain Adaptation Network for Three-Dimensional Mineral Prospectivity Modeling with Imbalanced Data: A Case Study of the Damiao–Hongshila Fe–V–Ti Belt, China

An Uncertainty-Quantification Machine Learning Framework for Data-Driven Three-Dimensional Mineral Prospectivity Mapping

Mapping of Gold Prospectivity in the Qingchengzi Pb–Zn–Ag–Au Polymetallic District, China, with Ensemble Learning Algorithms

Bagging-based Positive–Unlabeled Data Learning Algorithm with Base Learners Random Forest and XGBoost for 3D Exploration Targeting in the Kalatongke District, Xinjiang, China

An integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and drilling data

Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets

An Integrated Framework for Data-Driven Mineral Prospectivity Mapping Using Bagging-Based Positive-Unlabeled Learning and Bayesian Cost-Sensitive Logistic Regression

栾川矿集区地学大数据挖掘和三维/四维建模的资源-环境联合预测与定量评价

华北重点矿集区大数据三维/四维建模与深层次集成的资源预测评价

Resource-environment joint forecasting using big data mining and 3D/4D modeling in Luanchuan mining district, China

Bagging-based positive-unlabeled learning algorithm with Bayesian hyperparameter optimization for three-dimensional mineral potential mapping

A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)

Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China

Three-Dimensional Pseudo-Lithologic Modeling Via Adaptive Feature Weighted k-Means Algorithm from Multi-Source Geophysical Datasets, Qingchengzi Pb–Zn–Ag–Au District, China

四川红泥坡铜矿床三维地质建模及控矿构造演化的新认识

From 2D to 3D Modeling of Mineral Prospectivity Using Multi-source Geoscience Datasets, Wulong Gold District, China

3D mineral exploration targeting with multi-dimensional geoscience datasets, Tongling Cu(-Au) District, China

Batholith-stock scale exploration targeting based on multi-source geological and geophysical datasets in the Luanchuan Mo polymetallic district, China

Metallogenic model of the Wulong gold district, China, and associated assessment of exploration criteria based on multi-scale geoscience datasets

Multi-scale Numerical Simulation and 3D Modeling for Deep Mineral Exploration in the Jiaojia Gold District, China

Extraction of Mineralization-Related Anomalies from Gravity and Magnetic Potential Fields for Mineral Exploration Targeting: Tongling Cu(–Au) District, China

Interactive 3D Modeling by Integration of Geoscience Datasets for Exploration Targeting in Luanchuan Mo Polymetallic District, China

会议论文

基于随机森林的三维矿产定量预测——以辽东青城子矿集区为例

新疆喀拉通克矿集区基于地质与地球物理数据三维成矿分析

矿集区地学大数据挖掘与3D/4D建模在深部资源预测与评价中的示范研究进展

洛南黄背岭地区利用三维建模技术进行深部找矿预测

研究方向