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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:

Fusion of Geochemical and Remote-Sensing Data for Lithological Mapping Using Random Forest Metric Learning
Ziye Wang, Renguang Zuo, Linhai Jing
Mathematical Geosciences (2020) Vol. 53, Iss. 6, pp. 1125-1145
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A review on hyperspectral imagery application for lithological mapping and mineral prospecting: Machine learning techniques and future prospects
Soufiane Hajaj, Abderrazak El Harti, Amin Beiranvand Pour, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101218-101218
Closed Access | Times Cited: 29
Machine learning-based field geological mapping: A new exploration of geological survey data acquisition strategy
Wenlei Wang, Congcong Xue, Jie Zhao, et al.
Ore Geology Reviews (2024) Vol. 166, pp. 105959-105959
Open Access | Times Cited: 15
Research on 3D Geological Modeling Method Based on Deep Neural Networks for Drilling Data
Liang Liu, Tianbin Li, Chunchi Ma
Applied Sciences (2024) Vol. 14, Iss. 1, pp. 423-423
Open Access | Times Cited: 9
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network
Yanni Dong, Zhenzhen Yang, Quanwei Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 129, pp. 103780-103780
Open Access | Times Cited: 9
A fault diagnosis method of rotating machinery based on improved multiscale attention entropy and random forests
Fei Chen, Liyao Zhang, Wen‐Shen Liu, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1191-1220
Open Access | Times Cited: 18
Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science
Fanfan Yang, Renguang Zuo, Oliver P. Kreuzer
Earth-Science Reviews (2024), pp. 104941-104941
Closed Access | Times Cited: 7
Combination of Machine Learning Algorithms with Concentration-Area Fractal Method for Soil Geochemical Anomaly Detection in Sediment-Hosted Irankuh Pb-Zn Deposit, Central Iran
Sasan Farhadi, Peyman Afzal, Mina Boveiri Konari, et al.
Minerals (2022) Vol. 12, Iss. 6, pp. 689-689
Open Access | Times Cited: 28
Geochemical survey data cube: A useful tool for lithological classification and geochemical anomaly identification
Ying Xu, Renguang Zuo
Geochemistry (2023) Vol. 84, Iss. 2, pp. 125959-125959
Closed Access | Times Cited: 14
Data generation for exploration geochemistry: Past, present and future
Julie E. Bourdeau, Steven E. Zhang, Glen T. Nwaila, et al.
Applied Geochemistry (2024) Vol. 172, pp. 106124-106124
Open Access | Times Cited: 5
Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data
Ziye Wang, Renguang Zuo, Hao Liu
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4860-4860
Open Access | Times Cited: 32
Machine Learning Prediction of Ore Deposit Genetic Type Using Magnetite Geochemistry
Peng Zhang, Zhenjie Zhang, Jie Yang, et al.
Natural Resources Research (2022) Vol. 32, Iss. 1, pp. 99-116
Closed Access | Times Cited: 21
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data
Ziye Wang, Renguang Zuo, Fanfan Yang
Mathematical Geosciences (2022) Vol. 55, Iss. 7, pp. 1035-1058
Closed Access | Times Cited: 20
Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields
Steven E. Zhang, Glen T. Nwaila, Julie E. Bourdeau, et al.
Artificial Intelligence in Geosciences (2023) Vol. 4, pp. 9-21
Open Access | Times Cited: 13
Geological Mapping via Convolutional Neural Network Based on Remote Sensing and Geochemical Survey Data in Vegetation Coverage Areas
Ting Pan, Renguang Zuo, Ziye Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 3485-3494
Open Access | Times Cited: 13
Lithological Mapping Using a Convolutional Neural Network based on Stream Sediment Geochemical Survey Data
Xue-ping Wang, Renguang Zuo, Ziye Wang
Natural Resources Research (2022) Vol. 31, Iss. 5, pp. 2397-2412
Closed Access | Times Cited: 18
Uncertainty in soil elemental prediction using machine learning and hyperspectral remote sensing
Xiumei Ma, Jinlin Wang, Kefa Zhou, et al.
Journal of Hazardous Materials (2025) Vol. 494, pp. 138502-138502
Closed Access
Leucogranite mapping via convolutional recurrent neural networks and geochemical survey data in the Himalayan orogen
Ziye Wang, Tong Li, Renguang Zuo
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101715-101715
Open Access | Times Cited: 9
Research on Scale Improvement of Geochemical Exploration Based on Remote Sensing Image Fusion
Haifeng Ding, Linhai Jing, Mingjie Xi, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 1993-1993
Open Access | Times Cited: 8
Lithological Unit Classification Based on Geological Knowledge-Guided Deep Learning Framework for Optical Stereo Mapping Satellite Imagery
Gaodian Zhou, Weitao Chen, Xuwen Qin, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 8
Random forest-based mineral prospectivity modelling over the Southern Kibi–Winneba belt of Ghana using geophysical and remote sensing techniques
Eric Dominic Forson, Prince Ofori Amponsah, David Dotse Wemegah, et al.
Applied Earth Science Transactions of the Institutions of Mining and Metallurgy (2024) Vol. 133, Iss. 1, pp. 30-45
Closed Access | Times Cited: 2
Discrimination of deposit types using magnetite geochemistry based on machine learning
Peng Wang, Shangguo Su, Guan-Zhi Wang, et al.
Ore Geology Reviews (2024) Vol. 170, pp. 106107-106107
Open Access | Times Cited: 2
Dual-model Collaboration Consistency Semi-Supervised Learning for Few-shot Lithology Interpretation
Wei Han, Zhongliang Fu, S. Y. Xiao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 2
A New Strategy to Fuse Remote Sensing Data and Geochemical Data with Different Machine Learning Methods
Shi Bai, Jie Zhao
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 930-930
Open Access | Times Cited: 5
Granite Extraction Based on the SDGSAT-1 Satellite Thermal Infrared Spectrometer Imagery
Boqi Yuan, Qinjun Wang, Jingyi Yang, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1750-1750
Open Access | Times Cited: 1
基于多尺度卷积神经网络的多源数据融合岩性分类方法
戴嵩 Dai Song, 孙喜明 Sun Ximing, 张精明 Zhang Jingming, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 14, pp. 1437005-1437005
Closed Access | Times Cited: 1
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