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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:

Three-dimensional mineral prospectivity modeling for targeting of concealed mineralization within the Zhonggu iron orefield, Ningwu Basin, China
Xiaohui Li, Yuan Feng, Mingming Zhang, et al.
Ore Geology Reviews (2015) Vol. 71, pp. 633-654
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China
Tao Sun, Fei Chen, Lianxiang Zhong, et al.
Ore Geology Reviews (2019) Vol. 109, pp. 26-49
Open Access | Times Cited: 190
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
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
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
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
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
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
3D Mineral Prospectivity Mapping Based on Deep Metallogenic Prediction Theory: A Case Study of the Lala Copper Mine, Sichuan, China
Keyan Xiao, Jie Xiang, Mingjing Fan, et al.
Journal of Earth Science (2021) Vol. 32, Iss. 2, pp. 348-357
Closed Access | Times Cited: 28
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping
Xiancheng Mao, Jinli Wang, Hao Deng, et al.
Mathematical Geosciences (2023) Vol. 55, Iss. 7, pp. 897-942
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
Fractal-Based Multi-Criteria Feature Selection to Enhance Predictive Capability of AI-Driven Mineral Prospectivity Mapping
Tao Sun, Mei Feng, Wenbin Pu, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 4, pp. 224-224
Open Access | Times Cited: 4
An improved buffer analysis technique for model-based 3D mineral potential mapping and its application
Nan Li, Leon Bagas, Xiaohui Li, et al.
Ore Geology Reviews (2015) Vol. 76, pp. 94-107
Closed Access | Times Cited: 37
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 Modeling for Mineral System Approach to GIS-Based Prospectivity Analysis: Case Study of an MVT Pb–Zn Deposit
Nan Li, Xianglong Song, Cangbai Li, et al.
Natural Resources Research (2018) Vol. 28, Iss. 3, pp. 995-1019
Closed Access | Times Cited: 34
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
Cobalt Prospectivity Using a Conceptual Fuzzy Logic Overlay Method Enhanced with the Mineral Systems Approach
Vesa Nykänen, T. Törmänen, Tero Niiranen
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2387-2416
Open Access | Times Cited: 10
Part II: A demonstration of integrating multiple-scale 3D modelling into GIS-based prospectivity analysis: A case study of the Huayuan-Malichang district, China
Nan Li, Xianglong Song, Keyan Xiao, et al.
Ore Geology Reviews (2018) Vol. 95, pp. 292-305
Closed Access | Times Cited: 31
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
An Integrated Framework for Data-Driven Mineral Prospectivity Mapping Using Bagging-Based Positive-Unlabeled Learning and Bayesian Cost-Sensitive Logistic Regression
Zhiqiang Zhang, Gongwen Wang, Emmanuel John M. Carranza, et al.
Natural Resources Research (2022) Vol. 31, Iss. 6, pp. 3041-3060
Closed Access | Times Cited: 16
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
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
Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks
Yang Zheng, Hao Deng, Jingjie Wu, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105618-105618
Closed Access | Times Cited: 3
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