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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:

Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping
Mahyar Yousefi, Emmanuel John M. Carranza
Computers & Geosciences (2014) Vol. 74, pp. 97-109
Closed Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

Prediction–area (P–A) plot and C–A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling
Mahyar Yousefi, Emmanuel John M. Carranza
Computers & Geosciences (2015) Vol. 79, pp. 69-81
Closed Access | Times Cited: 282
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: 156
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
Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system (EIS)
Mahyar Yousefi, Mark Lindsay, Oliver P. Kreuzer
Ore Geology Reviews (2024) Vol. 165, pp. 105930-105930
Open Access | Times Cited: 25
Assimilation of the chronology of mineral system components in prospectivity analysis procedure for mineral exploration targeting: Adaptation of recurrent neural networks
Soran Qaderi, Abbas Maghsoudi, Mahyar Yousefi, et al.
Journal of Geochemical Exploration (2025) Vol. 272, pp. 107706-107706
Closed Access | Times Cited: 3
Translation of mineral system components into time step-based ore-forming events and evidence maps for mineral exploration: Intelligent mineral prospectivity mapping through adaptation of recurrent neural networks and random forest algorithm
Soran Qaderi, Abbas Maghsoudi, Mahyar Yousefi, et al.
Ore Geology Reviews (2025), pp. 106537-106537
Open Access | Times Cited: 2
Data-Driven Index Overlay and Boolean Logic Mineral Prospectivity Modeling in Greenfields Exploration
Mahyar Yousefi, Emmanuel John M. Carranza
Natural Resources Research (2015) Vol. 25, Iss. 1, pp. 3-18
Closed Access | Times Cited: 147
Data-driven logistic-based weighting of geochemical and geological evidence layers in mineral prospectivity mapping
Mahyar Yousefi, Vesa Nykänen
Journal of Geochemical Exploration (2015) Vol. 164, pp. 94-106
Closed Access | Times Cited: 143
Geometric average of spatial evidence data layers: A GIS-based multi-criteria decision-making approach to mineral prospectivity mapping
Mahyar Yousefi, Emmanuel John M. Carranza
Computers & Geosciences (2015) Vol. 83, pp. 72-79
Closed Access | Times Cited: 118
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
Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
Mahyar Yousefi, Emmanuel John M. Carranza, Oliver P. Kreuzer, et al.
Journal of Geochemical Exploration (2021) Vol. 229, pp. 106839-106839
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: 98
Mapping Mineral Prospectivity via Semi-supervised Random Forest
Jian Wang, Renguang Zuo, Yihui Xiong
Natural Resources Research (2019) Vol. 29, Iss. 1, pp. 189-202
Closed Access | Times Cited: 86
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
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
Image enhancing using both interval type-2 fuzzy sets and IT2PFCM
Ali Muhssen Abdul-Sadah, Ameer Najm Najaf, Nasseer K. Bachache
AIP conference proceedings (2022) Vol. 2386, pp. 050025-050025
Closed Access | Times Cited: 62
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
Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting
Mahyar Yousefi, Jon Hronsky
Applied Geochemistry (2023) Vol. 149, pp. 105561-105561
Closed Access | Times Cited: 30
A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration
Renguang Zuo, Ying Xu
Computers & Geosciences (2023) Vol. 182, pp. 105490-105490
Closed Access | Times Cited: 26
Prospectivity and Uncertainty Analysis of Tungsten Polymetallogenic Mineral Resources in the Nanling Metallogenic Belt, South China: A Comparative Study of AdaBoost, GBDT, and XgBoost Algorithms
Tongfei Li, Qinglin Xia, Yongpeng Ouyang, et al.
Natural Resources Research (2024) Vol. 33, Iss. 3, pp. 1049-1071
Closed Access | Times Cited: 12
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
Integration of Multi-Method ASTER data Analysis and Geometric Average Modeling for Hydrothermal Alteration Mapping and Mineral Prospectivity Assessment of Copper Deposits, Anti-Atlas, Morocco
Lahsen Achkouch, Ahmed Attou, Hafid Mezougane, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101467-101467
Closed Access | Times Cited: 1
Mapping mineral prospectivity for Cu polymetallic mineralization in southwest Fujian Province, China
Yuan Gao, Zhenjie Zhang, Yihui Xiong, et al.
Ore Geology Reviews (2015) Vol. 75, pp. 16-28
Closed Access | Times Cited: 91
Multifractal interpolation and spectrum–area fractal modeling of stream sediment geochemical data: Implications for mapping exploration targets
Mohammad Parsa, Abbas Maghsoudi, Mahyar Yousefi, et al.
Journal of African Earth Sciences (2016) Vol. 128, pp. 5-15
Closed Access | Times Cited: 82
Union score and fuzzy logic mineral prospectivity mapping using discretized and continuous spatial evidence values
Mahyar Yousefi, Emmanuel John M. Carranza
Journal of African Earth Sciences (2016) Vol. 128, pp. 47-60
Closed Access | Times Cited: 77
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