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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Mapping prospectivity for regolith-hosted REE deposits via convolutional neural network with generative adversarial network augmented data
Tong Li, Renguang Zuo, Xin-Fu Zhao, et al.
Ore Geology Reviews (2022) Vol. 142, pp. 104693-104693
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Graph Deep Learning Model for Mapping Mineral Prospectivity
Renguang Zuo, Ying Xu
Mathematical Geosciences (2022) Vol. 55, Iss. 1, pp. 1-21
Closed Access | Times Cited: 78
Explainable artificial intelligence models for mineral prospectivity mapping
Renguang Zuo, Qiuming Cheng, Ying Xu, et al.
Science China Earth Sciences (2024) Vol. 67, Iss. 9, pp. 2864-2875
Closed Access | Times Cited: 20
DCGAN-Based Feature Augmentation: A Novel Approach for Efficient Mineralization Prediction Through Data Generation
Soran Qaderi, Abbas Maghsoudi, Amin Beiranvand Pour, et al.
Minerals (2025) Vol. 15, Iss. 1, pp. 71-71
Open Access | Times Cited: 5
A Geologically Constrained Variational Autoencoder for Mineral Prospectivity Mapping
Renguang Zuo, Zijing Luo, Yihui Xiong, et al.
Natural Resources Research (2022) Vol. 31, Iss. 3, pp. 1121-1133
Closed Access | Times Cited: 62
Mineral prospectivity mapping based on wavelet neural network and Monte Carlo simulations in the Nanling W-Sn metallogenic province
Guoxiong Chen, Ning Huang, Guopeng Wu, et al.
Ore Geology Reviews (2022) Vol. 143, pp. 104765-104765
Open Access | Times Cited: 43
Machine Learning-Based Mapping for Mineral Exploration
Renguang Zuo, Emmanuel John M. Carranza
Mathematical Geosciences (2023) Vol. 55, Iss. 7, pp. 891-895
Open Access | Times Cited: 34
Mineral prospectivity mapping using attention-based convolutional neural network
Quanke Li, Guoxiong Chen, Lei Luo
Ore Geology Reviews (2023) Vol. 156, pp. 105381-105381
Open Access | Times Cited: 29
Prospectivity and Uncertainty Analysis of Tungsten Polymetallogenic Mineral Resources in the Nanling Metallogenic Belt, South China: A Comparative Study of AdaBoost, GBDT, and XgBoost Algorithms
Tongfei Li, Qinglin Xia, Yongpeng Ouyang, et al.
Natural Resources Research (2024) Vol. 33, Iss. 3, pp. 1049-1071
Closed Access | Times Cited: 13
Mineral Prospectivity Mapping Based on a Novel Self-Ensembling Graph Convolutional Network
Yonghang Lou, Yue Liu
Mathematical Geosciences (2025)
Closed Access | Times Cited: 1
Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing
Mohammad Parsa, C J M Lawley, Tarryn Cawood, et al.
Natural Resources Research (2025)
Open Access | Times Cited: 1
Quantification of Uncertainty Associated with Evidence Layers in Mineral Prospectivity Mapping Using Direct Sampling and Convolutional Neural Network
Fanfan Yang, Ziye Wang, Renguang Zuo, et al.
Natural Resources Research (2022) Vol. 32, Iss. 1, pp. 79-98
Closed Access | Times Cited: 35
Three-Dimensional Mineral Prospectivity Mapping by XGBoost Modeling: A Case Study of the Lannigou Gold Deposit, China
Quan‐Ping Zhang, Jianping Chen, Hua Xu, et al.
Natural Resources Research (2022) Vol. 31, Iss. 3, pp. 1135-1156
Closed Access | Times Cited: 30
Developments in Quantitative Assessment and Modeling of Mineral Resource Potential: An Overview
Yue Liu, Emmanuel John M. Carranza, Qinglin Xia
Natural Resources Research (2022) Vol. 31, Iss. 4, pp. 1825-1840
Open Access | Times Cited: 30
Deep Reinforcement Learning for Mineral Prospectivity Mapping
Zixian Shi, Renguang Zuo, Bao Zhou
Mathematical Geosciences (2023) Vol. 55, Iss. 6, pp. 773-797
Closed Access | Times Cited: 19
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data
Hamid Sabbaghi, Seyed Hassan Tabatabaei, Nader Fathianpour
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science
Fanfan Yang, Renguang Zuo, Oliver P. Kreuzer
Earth-Science Reviews (2024), pp. 104941-104941
Closed Access | Times Cited: 7
Geochemical anomaly identification and uncertainty quantification using a Bayesian convolutional neural network model
Dazheng Huang, Renguang Zuo, Jian Wang
Applied Geochemistry (2022) Vol. 146, pp. 105450-105450
Closed Access | Times Cited: 27
Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits
Mohammad Parsa, C J M Lawley, Renato Cumani, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 1941-1965
Open Access | Times Cited: 5
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data
Ziye Wang, Renguang Zuo, Fanfan Yang
Mathematical Geosciences (2022) Vol. 55, Iss. 7, pp. 1035-1058
Closed Access | Times Cited: 20
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping
Xiancheng Mao, Jinli Wang, Hao Deng, et al.
Mathematical Geosciences (2023) Vol. 55, Iss. 7, pp. 897-942
Closed Access | Times Cited: 13
Predictive Modeling of Prospectivity for VHMS Mineral Deposits, Northeastern Bathurst Mining Camp, NB, Canada, Using an Ensemble Regularization Technique
Mohammad Parsa, David R. Lentz, James A. Walker
Natural Resources Research (2022) Vol. 32, Iss. 1, pp. 19-36
Closed Access | Times Cited: 17
Mineral Prospectivity Mapping of Tungsten Polymetallic Deposits Using Machine Learning Algorithms and Comparison of Their Performance in the Gannan Region, China
Yonghang Lou, Yue Liu
Earth and Space Science (2023) Vol. 10, Iss. 10
Open Access | Times Cited: 11
Mineral prospecting mapping with conditional generative adversarial network augmented data
Yixiao Wu, Bingli Liu, Yaxin Gao, et al.
Ore Geology Reviews (2023) Vol. 163, pp. 105787-105787
Open Access | Times Cited: 10
Tungsten prospectivity mapping using multi-source geo-information and deep forest algorithm
Yue Liu, Tao Sun, Kaixing Wu, et al.
Ore Geology Reviews (2025), pp. 106452-106452
Open Access
Interpretability Analysis of Data Augmented Convolutional Neural Network in Mineral Prospectivity Mapping Using Black-Box Visualization Tools
Yue Liu, Tao Sun, Kaixing Wu, et al.
Natural Resources Research (2025)
Closed Access
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