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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:

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

Showing 1-25 of 143 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
A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm
Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2417-2438
Closed Access | Times Cited: 56
A New Generation of Artificial Intelligence Algorithms for Mineral Prospectivity Mapping
Renguang Zuo, Yihui Xiong, Ziye Wang, et al.
Natural Resources Research (2023) Vol. 32, Iss. 5, pp. 1859-1869
Closed Access | Times Cited: 45
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
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
A data augmentation approach to XGboost-based mineral potential mapping: An example of carbonate-hosted Zn Pb mineral systems of Western Iran
Mohammad Parsa
Journal of Geochemical Exploration (2021) Vol. 228, pp. 106811-106811
Closed Access | Times Cited: 99
Detection of the multivariate geochemical anomalies associated with mineralization using a deep convolutional neural network and a pixel-pair feature method
Chunjie Zhang, Renguang Zuo, Yihui Xiong
Applied Geochemistry (2021) Vol. 130, pp. 104994-104994
Closed Access | Times Cited: 87
Data-driven Mineral Prospectivity Mapping by Joint Application of Unsupervised Convolutional Auto-encoder Network and Supervised Convolutional Neural Network
Shuai Zhang, Emmanuel John M. Carranza, Hantao Wei, et al.
Natural Resources Research (2021) Vol. 30, Iss. 2, pp. 1011-1031
Closed Access | Times Cited: 86
Mineral Prospectivity Prediction via Convolutional Neural Networks Based on Geological Big Data
Shi Li, Jianping Chen, Chang Liu, et al.
Journal of Earth Science (2021) Vol. 32, Iss. 2, pp. 327-347
Closed Access | Times Cited: 79
Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder
Yihui Xiong, Renguang Zuo
Mathematical Geosciences (2021) Vol. 54, Iss. 3, pp. 623-644
Closed Access | Times Cited: 66
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
Detection of geochemical anomalies related to mineralization using the GANomaly network
Zijing Luo, Renguang Zuo, Yihui Xiong, et al.
Applied Geochemistry (2021) Vol. 131, pp. 105043-105043
Closed Access | Times Cited: 60
Recognition of multivariate geochemical anomalies associated with mineralization using an improved generative adversarial network
Chunjie Zhang, Renguang Zuo
Ore Geology Reviews (2021) Vol. 136, pp. 104264-104264
Closed Access | Times Cited: 59
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
Machine learning for geochemical exploration: classifying metallogenic fertility in arc magmas and insights into porphyry copper deposit formation
Chetan Nathwani, Jamie J. Wilkinson, George S. Fry, et al.
Mineralium Deposita (2022) Vol. 57, Iss. 7, pp. 1143-1166
Open Access | Times Cited: 46
An Interpretable Graph Attention Network for Mineral Prospectivity Mapping
Ying Xu, Renguang Zuo
Mathematical Geosciences (2023) Vol. 56, Iss. 2, pp. 169-190
Closed Access | Times Cited: 34
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
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping
Fanfan Yang, Renguang Zuo
Mathematical Geosciences (2024) Vol. 56, Iss. 8, pp. 1605-1628
Closed Access | Times Cited: 13
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity
Fanfan Yang, Renguang Zuo, Yihui Xiong, et al.
Mathematical Geosciences (2024) Vol. 56, Iss. 7, pp. 1487-1515
Closed Access | Times Cited: 11
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
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