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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 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

Showing 22 citing articles:

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
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
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
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
A multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data
Deping Chu, Jinming Fu, Bo Wan, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 12, pp. 2599-2626
Closed Access | Times Cited: 4
Gold prospectivity mapping and exploration targeting in Hutti-Maski schist belt, India: Synergistic application of Weights-of-Evidence (WOE), Fuzzy Logic (FL) and hybrid (WOE-FL) models
Satyabrata Behera, Mruganka K. Panigrahi
Journal of Geochemical Exploration (2022) Vol. 235, pp. 106963-106963
Closed Access | Times Cited: 14
Fuel and Energy Complex of Kazakhstan: Geological and Economic Assessment of Enterprises in the Context of Digital Transformation
Farida Issatayeva, Г. М. Аубакирова, Aliya Maussymbayeva, et al.
Energies (2023) Vol. 16, Iss. 16, pp. 6002-6002
Open Access | Times Cited: 8
Geological symbol recognition on geological map using convolutional recurrent neural network with augmented data
Qinjun Qiu, Yongjian Tan, Kai Ma, et al.
Ore Geology Reviews (2022) Vol. 153, pp. 105262-105262
Open Access | Times Cited: 11
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
SsL-VGMM: A Semisupervised Machine Learning Model of Multisource Data Fusion for Lithology Prediction
Pengfei Lv, Weiying Chen, Hai Li, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 1993-2007
Closed Access | Times Cited: 1
Research on Large-Scale Urban 3D Geological Modeling – A Case Study of Wuhan Metropolitan Development Area
Jixiang Zhu, Tao Gan, Shunchang Liu, et al.
(2024)
Open Access | Times Cited: 1
Quaternary Depositional Framework of the Xiong’an New Area: A 3D Geological Modeling Approach Based on Vector and Grid Integration
Jixiang Zhu, Xiaoyuan Zhou, Guanghui Zhang, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3409-3409
Open Access | Times Cited: 4
Rock Classification in a Vanadiferous Titanomagnetite Deposit Based on Supervised Machine Learning
Young-Jae Shin, Seungwook Shin
Minerals (2022) Vol. 12, Iss. 4, pp. 461-461
Open Access | Times Cited: 4
Apriori Algorithm-Based Three-Dimensional Mineral Prospectivity Mapping—An Example from Meiling South Area, Xinjiang, China
Jinyu Chang, Nannan Zhang, Kefa Zhou, et al.
Minerals (2023) Vol. 13, Iss. 7, pp. 902-902
Open Access | Times Cited: 2
A Novel Method for Eliminating the Strip-Shaped Interferences in Aeromagnetic Anomaly Based on Convolutional Neural Network
Jun Wang, Zhiwen Zhou, Xiaohong Meng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-11
Closed Access | Times Cited: 1
Automatic lithological mapping from potential field data using machine learning: a case study from Mundiyawas-Khera Cu deposit, Rajasthan, India
Bhawesh Kumar Singh, G. Srinivasa Rao, Rama Chandrudu Arasada, et al.
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 777-792
Closed Access | Times Cited: 1
3D Geological Modeling and Metallogenic Prediction of Kamust Sandstone-Type Uranium Deposit in the Eastern Junggar Basin, NW China
Yingying Geng, Zhangyue Liu, He Zhongbo, et al.
Minerals (2024) Vol. 14, Iss. 10, pp. 988-988
Open Access
Automated Population and Validation of Geologic Logging Fields: An Approach to Autopopulate Select Logging Parameters and Rapidly Identify Mis-Logged Interval Candidates
Lynnette L. Hutson, Isabel Barton, L. Hill, et al.
Mining Metallurgy & Exploration (2024)
Closed Access
Large-Scale Urban 3D Geological Modeling Based on Multi-Method Coupling Under Multi-Source Heterogeneous Data Conditions
Jixiang Zhu, Xiaoyuan Zhou, Lizhong Zhang
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 12059-12059
Open Access
Geological Mineral Energy and Classification Based on Machine Learning
Yan Lv, Laijun Lu
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 3
Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China
Jiangmei Wang, Wancheng Zhu, Xige Liu, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 12
Closed Access
Tesla Stock Close Price Prediction Using KNNR, DTR, SVR, and RFR
Edward, Suharjito Suharjito
Journal of Human Earth and Future (2022) Vol. 3, Iss. 4, pp. 403-422
Open Access | Times Cited: 2
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