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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.

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Showing 1-25 of 129 citing articles:

Random-Drop Data Augmentation of Deep Convolutional Neural Network for Mineral Prospectivity Mapping
Tong Li, Renguang Zuo, Yihui Xiong, et al.
Natural Resources Research (2020) Vol. 30, Iss. 1, pp. 27-38
Closed Access | Times Cited: 143
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
Stacking: A novel data-driven ensemble machine learning strategy for prediction and mapping of Pb-Zn prospectivity in Varcheh district, west Iran
Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash
Expert Systems with Applications (2023) Vol. 237, pp. 121668-121668
Closed Access | Times Cited: 56
Geodata Science-Based Mineral Prospectivity Mapping: A Review
Renguang Zuo
Natural Resources Research (2020) Vol. 29, Iss. 6, pp. 3415-3424
Closed Access | Times Cited: 135
Uncertainties in GIS-Based Mineral Prospectivity Mapping: Key Types, Potential Impacts and Possible Solutions
Renguang Zuo, Oliver P. Kreuzer, Jian Wang, et al.
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3059-3079
Closed Access | Times Cited: 101
Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity mapping
Jiangning Yin, Nan Li
Ore Geology Reviews (2022) Vol. 145, pp. 104916-104916
Open Access | Times Cited: 66
A Convolutional Neural Network of GoogLeNet Applied in Mineral Prospectivity Prediction Based on Multi-source Geoinformation
Na Yang, Zhenkai Zhang, Jianhua Yang, et al.
Natural Resources Research (2021) Vol. 30, Iss. 6, pp. 3905-3923
Closed Access | Times Cited: 62
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
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
Applications of data augmentation in mineral prospectivity prediction based on convolutional neural networks
Na Yang, Zhenkai Zhang, Jianhua Yang, et al.
Computers & Geosciences (2022) Vol. 161, pp. 105075-105075
Closed Access | Times Cited: 50
Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit
Hao Deng, Yang Zheng, Jin Chen, et al.
Computers & Geosciences (2022) Vol. 161, pp. 105074-105074
Open Access | Times Cited: 50
Neuro-Fuzzy-AHP (NFAHP) Technique for Copper Exploration Using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Geological Datasets in the Sahlabad Mining Area, East Iran
Ареф Ширази, Ardeshir Hezarkhani, Amin Beiranvand Pour, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5562-5562
Open Access | Times Cited: 42
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
Knowledge-Driven Fuzzy AHP Model for Orogenic Gold Prospecting in a Typical Schist Belt Environment: A Mineral System Approach
Ayokunle Adewale Akinlalu, Daniel Oluwafunmilade Afolabi, Sherif Olumide Sanusi
Earth Systems and Environment (2024) Vol. 8, Iss. 2, pp. 221-263
Closed Access | Times Cited: 11
Fractal-Based Pattern Quantification of Mineral Grains: A Case Study of Yichun Rare-Metal Granite
Yue Liu, Tao Sun, Kaixing Wu, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 1, pp. 49-49
Open Access | Times Cited: 9
A Novel Framework for Optimizing the Prediction of Areas Favorable to Porphyry-Cu Mineralization: Combination of Ant Colony and Grid Search Optimization Algorithms with Support Vector Machines
Sarina Akbari, Hamidreza Ramazi, Reza Ghezelbash
Natural Resources Research (2025)
Closed Access | Times Cited: 1
A positive and unlabeled learning algorithm for mineral prospectivity mapping
Yihui Xiong, Renguang Zuo
Computers & Geosciences (2020) Vol. 147, pp. 104667-104667
Closed Access | Times Cited: 57
Mineral Prospectivity Mapping via Gated Recurrent Unit Model
Bojun Yin, Renguang Zuo, Yihui Xiong
Natural Resources Research (2021) Vol. 31, Iss. 4, pp. 2065-2079
Closed Access | Times Cited: 53
Deep GMDH Neural Networks for Predictive Mapping of Mineral Prospectivity in Terrains Hosting Few but Large Mineral Deposits
Mohammad Parsa, Emmanuel John M. Carranza, Bahman Ahmadi
Natural Resources Research (2021) Vol. 31, Iss. 1, pp. 37-50
Closed Access | Times Cited: 52
Mineral prospectivity mapping by deep learning method in Yawan-Daqiao area, Gansu
Yongyang Xu, Zixuan Li, Zhong Xie, et al.
Ore Geology Reviews (2021) Vol. 138, pp. 104316-104316
Closed Access | Times Cited: 50
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
Mineral Prospectivity Mapping Using Deep Self-Attention Model
Bojun Yin, Renguang Zuo, Siquan Sun
Natural Resources Research (2022) Vol. 32, Iss. 1, pp. 37-56
Closed Access | Times Cited: 34
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
Mineral Prospectivity Mapping of Porphyry Copper Deposits Based on Remote Sensing Imagery and Geochemical Data in the Duolong Ore District, Tibet
Yufeng Fu, Qiuming Cheng, Linhai Jing, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 439-439
Open Access | Times Cited: 23
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