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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 62 citing articles:

Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China
Tao Sun, Hui Li, Kaixing Wu, et al.
Minerals (2020) Vol. 10, Iss. 2, pp. 102-102
Open Access | Times Cited: 129
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
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
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
Introduction to the Special Issue Challenges for mineral exploration in the 21st century: Targeting mineral deposits under cover
Ignacio González-Álvarez, Mário A. Gonçalves, Emmanuel John M. Carranza
Ore Geology Reviews (2020) Vol. 126, pp. 103785-103785
Closed Access | Times Cited: 33
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
Numerical modeling of formation of the Maoping Pb-Zn deposit within the Sichuan-Yunnan-Guizhou Metallogenic Province, Southwestern China: Implications for the spatial distribution of concealed Pb mineralization and its controlling factors
Xunyu Hu, Yuhua Chen, Guangxian Liu, et al.
Ore Geology Reviews (2021) Vol. 140, pp. 104573-104573
Open Access | Times Cited: 29
Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets
Zhiqiang Zhang, Yingjie Li, Gongwen Wang, et al.
Mathematical Geosciences (2023) Vol. 55, Iss. 7, pp. 989-1010
Closed Access | Times Cited: 13
Multi-source data integration and multi-scale modeling framework for progressive prediction of complex geological interfaces in tunneling
Jingxiao Wang, Peinan Li, Xiaoying Zhuang, et al.
Underground Space (2023) Vol. 15, pp. 1-25
Open Access | Times Cited: 13
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
Baoyi Zhang, Kun Xu, Umair Khan, et al.
Ore Geology Reviews (2023) Vol. 163, pp. 105788-105788
Open Access | Times Cited: 13
Numerical modeling of ore-forming processes within the Chating Cu-Au porphyry-type deposit, China: Implications for the longevity of hydrothermal systems and potential uses in mineral exploration
Xunyu Hu, Xiaohui Li, Feng Yuan, et al.
Ore Geology Reviews (2019) Vol. 116, pp. 103230-103230
Closed Access | Times Cited: 35
3D geological modelling and uncertainty analysis for 3D targeting in Shanggong gold deposit (China)
Xing Jin, Gongwen Wang, Ping Tang, et al.
Journal of Geochemical Exploration (2019) Vol. 210, pp. 106442-106442
Closed Access | Times Cited: 30
Combining numerical modeling and machine learning to predict mineral prospectivity: A case study from the Fankou Pb–Zn deposit, southern China
Fan Xiao, Xinyu Chen, Qiuming Cheng
Applied Geochemistry (2023) Vol. 160, pp. 105857-105857
Closed Access | Times Cited: 11
Cobalt distribution and enrichment in skarn iron deposits: A case study of the Zhuchong skarn iron deposit, Eastern China
Xian Liang, Fangyue Wang, Long Zhang, et al.
Ore Geology Reviews (2023) Vol. 163, pp. 105778-105778
Open Access | Times Cited: 10
Ensemble machine learning model for exploration and targeting of Pb-Zn deposits in Algeria
Selma Remidi, Abdelhak Boutaleb, Salah Eddine Tachi, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Controls on metal distributions of the Fengzishan Zn–Pb deposit at the giant Jinding ore field in western Yunnan Province, SW China: Insights from field mapping and 3D geological modeling
Jun Liu, Chuandong Xue, Wei Wang, et al.
Ore Geology Reviews (2025), pp. 106509-106509
Open Access
Ore-forming simulation of the Axi low-sulfidation epithermal gold deposit, Western China: Genetic implications on mineralization pattern
Shaofeng Xie, Zhankun Liu, Xiancheng Mao, et al.
Journal of Geochemical Exploration (2025), pp. 107740-107740
Closed Access
Machine-Learning-Based Integrated Mining Big Data and Multi-Dimensional Ore-Forming Prediction: A Case Study of Yanshan Iron Mine, Hebei, China
Yuhao Chen, Gongwen Wang, Nini Mou, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4082-4082
Open Access
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
Opportunities and threats of selenium supply from unconventional and low-grade ores: A critical review
Valerio Funari, Helena I. Gomes, Daniela Coppola, et al.
Resources Conservation and Recycling (2021) Vol. 170, pp. 105593-105593
Open Access | Times Cited: 22
Three-Dimensional Mineral Prospectivity Modeling with Geometric Restoration: Application to the Jinchuan Ni–Cu–(PGE) Sulfide Deposit, Northwestern China
Xiancheng Mao, SU Zhe, Hao Deng, et al.
Natural Resources Research (2023) Vol. 33, Iss. 1, pp. 75-105
Closed Access | Times Cited: 9
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
Numerical simulation of fault-fold structures controlled ore formation: Case studies of the Huize and Maoping lead-zinc deposits in Northeastern Yunnan Province, southwest China
Ping Pan, Changqi Zhao, Weiwei Zhou, et al.
Ore Geology Reviews (2024) Vol. 165, pp. 105906-105906
Open Access | Times Cited: 3
Three‐dimensional Modeling of Ore‐forming Elements and Mineralization Prognosis for the Yechangping Mo Deposit, Henan Province, China
Gaoming DING, Genyuan Ji, Guolong YAN, et al.
Acta Geologica Sinica - English Edition (2024) Vol. 98, Iss. 3, pp. 736-752
Closed Access | Times Cited: 3
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