Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 54 citing articles:

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network
Hoang Nguyen, Carsten Drebenstedt, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 691-709
Closed Access | Times Cited: 181
Mapping mineral prospectivity through big data analytics and a deep learning algorithm
Yihui Xiong, Renguang Zuo, Emmanuel John M. Carranza
Ore Geology Reviews (2018) Vol. 102, pp. 811-817
Open Access | Times Cited: 163
Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost
Xiliang Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 711-721
Closed Access | Times Cited: 154
Geodata Science-Based Mineral Prospectivity Mapping: A Review
Renguang Zuo
Natural Resources Research (2020) Vol. 29, Iss. 6, pp. 3415-3424
Closed Access | Times Cited: 135
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
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
Regional-Scale Mineral Prospectivity Mapping: Support Vector Machines and an Improved Data-Driven Multi-criteria Decision-Making Technique
Reza Ghezelbash, Abbas Maghsoudi, Amirreza Bigdeli, et al.
Natural Resources Research (2021) Vol. 30, Iss. 3, pp. 1977-2005
Closed Access | Times Cited: 62
A Geologically Constrained Variational Autoencoder for Mineral Prospectivity Mapping
Renguang Zuo, Zijing Luo, Yihui Xiong, et al.
Natural Resources Research (2022) Vol. 31, Iss. 3, pp. 1121-1133
Closed Access | Times Cited: 62
Overcoming survival bias in targeting mineral deposits of the future: Towards null and negative tests of the exploration search space, accounting for lack of visibility
Mahyar Yousefi, Vesa Nykänen, Jeff W. Harris, et al.
Ore Geology Reviews (2024) Vol. 172, pp. 106214-106214
Open Access | Times Cited: 10
Mineral Prospectivity Mapping Based on a Novel Self-Ensembling Graph Convolutional Network
Yonghang Lou, Yue Liu
Mathematical Geosciences (2025)
Closed Access | Times Cited: 1
Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls
Reza Ghezelbash, Abbas Maghsoudi, Emmanuel John M. Carranza
Earth Science Informatics (2019) Vol. 12, Iss. 3, pp. 277-293
Closed Access | Times Cited: 65
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
Prospectivity analysis of orogenic gold deposits in Saqez-Sardasht Goldfield, Zagros Orogen, Iran
Alireza Almasi, Mahyar Yousefi, Emmanuel John M. Carranza
Ore Geology Reviews (2017) Vol. 91, pp. 1066-1080
Open Access | Times Cited: 58
A simulation-based framework for modulating the effects of subjectivity in greenfield Mineral Prospectivity Mapping with geochemical and geological data
Mohammad Parsa, Amin Beiranvand Pour
Journal of Geochemical Exploration (2021) Vol. 229, pp. 106838-106838
Closed Access | Times Cited: 40
Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada
Haiming Liu, Jeff Harris, Ross Sherlock, et al.
Journal of Geochemical Exploration (2023) Vol. 253, pp. 107279-107279
Closed Access | Times Cited: 16
Mineral Reconnaissance Through Scientific Consensus: First National Prospectivity Maps for PGE–Ni–Cu–Cr and Witwatersrand-type Au Deposits in South Africa
Glen T. Nwaila, Steven E. Zhang, Julie E. Bourdeau, et al.
Natural Resources Research (2024) Vol. 33, Iss. 6, pp. 2357-2384
Open Access | Times Cited: 5
A hybrid AHP-VIKOR approach for prospectivity modeling of porphyry Cu deposits in the Varzaghan District, NW Iran
Reza Ghezelbash, Abbas Maghsoudi
Arabian Journal of Geosciences (2018) Vol. 11, Iss. 11
Closed Access | Times Cited: 41
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
Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity mapping at the Kuh–Lakht epithermal gold deposit, Central Iran
Amin Hafezi, Hooshang Asadi Haroni, Seyed Hassan Tabatabaei, et al.
Ore Geology Reviews (2024) Vol. 171, pp. 106175-106175
Open Access | Times Cited: 4
A MaxEnt Model for Mineral Prospectivity Mapping
Yue Liu, Kefa Zhou, Qinglin Xia
Natural Resources Research (2017) Vol. 27, Iss. 3, pp. 299-313
Closed Access | Times Cited: 39
Back-propagation neural network and support vector machines for gold mineral prospectivity mapping in the Hatu region, Xinjiang, China
Nannan Zhang, Kefa Zhou, Dong Li
Earth Science Informatics (2018) Vol. 11, Iss. 4, pp. 553-566
Closed Access | Times Cited: 36
Unsupervised clustering and empirical fuzzy memberships for mineral prospectivity modelling
Johanna Torppa, Vesa Nykänen, Ferenc Molnár
Ore Geology Reviews (2019) Vol. 107, pp. 58-71
Open Access | Times Cited: 35
Mineral Prospectivity Mapping of Tungsten Polymetallic Deposits Using Machine Learning Algorithms and Comparison of Their Performance in the Gannan Region, China
Yonghang Lou, Yue Liu
Earth and Space Science (2023) Vol. 10, Iss. 10
Open Access | Times Cited: 11
Page 1 - Next Page

Scroll to top