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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:

3D prospectivity modelling of orogenic gold in the Marymia Inlier, Western Australia
Simon H.H. Nielsen, Fraser Cunningham, Richard L. Hay, et al.
Ore Geology Reviews (2015) Vol. 71, pp. 578-591
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Exploration information systems – A proposal for the future use of GIS in mineral exploration targeting
Mahyar Yousefi, Oliver P. Kreuzer, Vesa Nykänen, et al.
Ore Geology Reviews (2019) Vol. 111, pp. 103005-103005
Closed Access | Times Cited: 157
Three-dimensional prospectivity modeling of the Jiaojia-type gold deposit, Jiaodong Peninsula, Eastern China: A case study of the Dayingezhuang deposit
Xiancheng Mao, Jia Ren, Zhankun Liu, et al.
Journal of Geochemical Exploration (2019) Vol. 203, pp. 27-44
Closed Access | Times Cited: 85
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
Three-Dimensional Geological Modelling in Earth Science Research: An In-Depth Review and Perspective Analysis
Xiao-Qin Cao, Ziming Liu, Chenlin Hu, et al.
Minerals (2024) Vol. 14, Iss. 7, pp. 686-686
Open Access | Times Cited: 14
3D Mineral Prospectivity Mapping with Random Forests: A Case Study of Tongling, Anhui, China
Jie Xiang, Keyan Xiao, Emmanuel John M. Carranza, et al.
Natural Resources Research (2019) Vol. 29, Iss. 1, pp. 395-414
Closed Access | Times Cited: 68
3D computational simulation-based mineral prospectivity modeling for exploration for concealed Fe–Cu skarn-type mineralization within the Yueshan orefield, Anqing district, Anhui Province, China
Xiaohui Li, Feng Yuan, Mingming Zhang, et al.
Ore Geology Reviews (2018) Vol. 105, pp. 1-17
Closed Access | Times Cited: 62
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
3D convolutional neural Network-based 3D mineral prospectivity modeling for targeting concealed mineralization within Chating area, middle-lower Yangtze River metallogenic Belt, China
Xiaohui Li, Xue Chen, Yuheng Chen, et al.
Ore Geology Reviews (2023) Vol. 157, pp. 105444-105444
Open Access | Times Cited: 20
Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields
Emmanuel John M. Carranza
Natural Resources Research (2017) Vol. 26, Iss. 4, pp. 379-410
Closed Access | Times Cited: 54
Hidden Markov model for spatial analysis of three-dimensional mineralization distribution: Insights into magma flow and mineral exploration targets in the Jinchuan Ni-Cu-(PGE) sulfide deposit, China
Hao Deng, Juexuan Huang, Zhankun Liu, et al.
Applied Geochemistry (2024) Vol. 162, pp. 105911-105911
Closed Access | Times Cited: 6
Machine Learning-Based 3D Modeling of Mineral Prospectivity Mapping in the Anqing Orefield, Eastern China
Yaozu Qin, Liangming Liu, Weicheng Wu
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3099-3120
Closed Access | Times Cited: 29
From 2D to 3D Modeling of Mineral Prospectivity Using Multi-source Geoscience Datasets, Wulong Gold District, China
Zhiqiang Zhang, Jiaojiao Zhang, Gongwen Wang, et al.
Natural Resources Research (2020) Vol. 29, Iss. 1, pp. 345-364
Closed Access | Times Cited: 27
3D mineral prospectivity modeling based on machine learning: A case study of the Zhuxi tungsten deposit in northeastern Jiangxi Province, South China
Guangming Fu, Qingtian Lü, Jiayong Yan, et al.
Ore Geology Reviews (2021) Vol. 131, pp. 104010-104010
Closed Access | Times Cited: 22
Three-dimensional mineral prospectivity mapping Considering structural restoration in the Dayingezhuang gold Deposit, eastern china
Jinli Wang, Xiancheng Mao, Zhankun Liu, et al.
Ore Geology Reviews (2024) Vol. 165, pp. 105860-105860
Open Access | Times Cited: 3
3D mineral prospectivity modeling using multi-scale 3D convolution neural network and spatial attention approaches
Xiaohui Li, Yuheng Chen, Yuan Feng, et al.
Geochemistry (2024), pp. 126125-126125
Closed Access | Times Cited: 3
Three-dimensional mineral prospectivity mapping based on natural language processing and random forests: A case study of the Xiyu diamond deposit, China
Guanyun Zhou, Jianping Chen, Wentong An, et al.
Ore Geology Reviews (2024) Vol. 169, pp. 106082-106082
Open Access | Times Cited: 3
Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions
Mark Lindsay, Agnieszka M. Piechocka, Mark Jessell, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 6, pp. 101435-101435
Open Access | Times Cited: 13
Quantitative 3D Association of Geological Factors and Geophysical Fields with Mineralization and Its Significance for Ore Prediction: An Example from Anqing Orefield, China
Yaozu Qin, Liangming Liu
Minerals (2018) Vol. 8, Iss. 7, pp. 300-300
Open Access | Times Cited: 23
Integration of multi-source and multi-scale datasets for 3D structural modeling for subsurface exploration targeting, Luanchuan Mo-polymetallic district, China
Gongwen Wang, Zhenbo Ma, Ruixi Li, et al.
Journal of Applied Geophysics (2017) Vol. 139, pp. 269-290
Closed Access | Times Cited: 22
Delineation of potential exploration targets based on 3D geological modeling: A case study from the Laoangou Pb-Zn-Ag polymetallic ore deposit, China
Fan Yang, Gongwen Wang, M. Santosh, et al.
Ore Geology Reviews (2017) Vol. 89, pp. 228-252
Closed Access | Times Cited: 22
Typomorphic characteristics of pyrite: Criteria for 3D exploration targeting in the xishan gold deposit, China
Gongwen Wang, Yuan Feng, Emmanuel John M. Carranza, et al.
Journal of Geochemical Exploration (2016) Vol. 164, pp. 136-163
Closed Access | Times Cited: 19
Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China
Gongwen Wang, Zhiqiang Zhang, Ruixi Li, et al.
Science China Earth Sciences (2021) Vol. 64, Iss. 9, pp. 1590-1606
Closed Access | Times Cited: 15
Genetic Algorithm Optimized Light Gradient Boosting Machine for 3D Mineral Prospectivity Modeling of Cu Polymetallic Skarn-Type Mineralization, Xuancheng Area, Anhui Province, Eastern China
Li He, Xiaohui Li, Yuan Feng, et al.
Natural Resources Research (2023) Vol. 32, Iss. 5, pp. 1897-1916
Closed Access | Times Cited: 6
3D mineral prospectivity modeling in the Sanshandao goldfield, China using the convolutional neural network with attention mechanism
Zhankun Liu, Shuyan Yu, Hao Deng, et al.
Ore Geology Reviews (2023) Vol. 164, pp. 105861-105861
Open Access | Times Cited: 6
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