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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:

Deep learning and its application in geochemical mapping
Renguang Zuo, Yihui Xiong, Jian Wang, et al.
Earth-Science Reviews (2019) Vol. 192, pp. 1-14
Closed Access | Times Cited: 304

Showing 26-50 of 304 citing articles:

Recognition of multivariate geochemical anomalies associated with mineralization using an improved generative adversarial network
Chunjie Zhang, Renguang Zuo
Ore Geology Reviews (2021) Vol. 136, pp. 104264-104264
Closed Access | Times Cited: 56
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: 48
Bayesian Deep Learning for Spatial Interpolation in the Presence of Auxiliary Information
Charlie Kirkwood, Theo Economou, Nicolas Pugeault, et al.
Mathematical Geosciences (2022) Vol. 54, Iss. 3, pp. 507-531
Open Access | Times Cited: 47
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: 47
Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100990-100990
Open Access | Times Cited: 43
Mineral prospectivity mapping based on wavelet neural network and Monte Carlo simulations in the Nanling W-Sn metallogenic province
Guoxiong Chen, Ning Huang, Guopeng Wu, et al.
Ore Geology Reviews (2022) Vol. 143, pp. 104765-104765
Open Access | Times Cited: 38
A geologically-constrained deep learning algorithm for recognizing geochemical anomalies
Chunjie Zhang, Renguang Zuo, Yihui Xiong, et al.
Computers & Geosciences (2022) Vol. 162, pp. 105100-105100
Closed Access | Times Cited: 38
An Interpretable Graph Attention Network for Mineral Prospectivity Mapping
Ying Xu, Renguang Zuo
Mathematical Geosciences (2023) Vol. 56, Iss. 2, pp. 169-190
Closed Access | Times Cited: 30
Metallogenic-Factor Variational Autoencoder for Geochemical Anomaly Detection by Ad-Hoc and Post-Hoc Interpretability Algorithms
Zijing Luo, Renguang Zuo, Yihui Xiong, et al.
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 835-853
Closed Access | Times Cited: 26
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: 24
Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model
Xin Xiao, Wenting Ming, Xuan Luo, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108692-108692
Open Access | Times Cited: 14
Lithium exploration targeting through robust variable selection and deep anomaly detection: An integrated application of sparse principal component analysis and stacked autoencoders
Saeid Esmaeiloghli, Alexandre Lima, Behnam Sadeghi
Geochemistry (2024) Vol. 84, Iss. 4, pp. 126111-126111
Open Access | Times Cited: 13
Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models
Ahmed Elbeltagi, Aman Srivastava, Muhsan Ehsan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101759-101759
Open Access | Times Cited: 13
A review of the use of AI in the mining industry: Insights and ethical considerations for multi-objective optimization
Caitlin C. Corrigan, Svetlana Ikonnikova
The Extractive Industries and Society (2024) Vol. 17, pp. 101440-101440
Open Access | Times Cited: 12
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping
Fanfan Yang, Renguang Zuo
Mathematical Geosciences (2024) Vol. 56, Iss. 8, pp. 1605-1628
Closed Access | Times Cited: 10
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity
Fanfan Yang, Renguang Zuo, Yihui Xiong, et al.
Mathematical Geosciences (2024) Vol. 56, Iss. 7, pp. 1487-1515
Closed Access | Times Cited: 9
Enhancing Customer Experience: Exploring Deep Learning Models for Banking Customer Journey Analysis
Dwijendra Nath Dwivedi, Saurabh Batra, Yogesh Kumar Pathak
Lecture notes in networks and systems (2024), pp. 477-486
Closed Access | Times Cited: 8
Geological Knowledge‐Guided Dual‐Branch Deep Learning Model for Identification of Geochemical Anomalies Related to Mineralization
Ying Xu, Renguang Zuo, Yang Bai
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access | Times Cited: 1
A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality
R. Can, Sultan Kocaman, Candan Gökçeoğlu
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 7, pp. 300-300
Open Access | Times Cited: 70
Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Earth-Science Reviews (2019) Vol. 201, pp. 103076-103076
Open Access | Times Cited: 69
Convolutional neural network and transfer learning based mineral prospectivity modeling for geochemical exploration of Au mineralization within the Guandian–Zhangbaling area, Anhui Province, China
He Li, Xiaohui Li, Yuan Feng, et al.
Applied Geochemistry (2020) Vol. 122, pp. 104747-104747
Closed Access | Times Cited: 65
Geodata science and geochemical mapping
Renguang Zuo, Yihui Xiong
Journal of Geochemical Exploration (2019) Vol. 209, pp. 106431-106431
Closed Access | Times Cited: 61
A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping
Ziye Wang, Zhen Yin, Jef Caers, et al.
Geoscience Frontiers (2020) Vol. 11, Iss. 6, pp. 2297-2308
Open Access | Times Cited: 57
A positive and unlabeled learning algorithm for mineral prospectivity mapping
Yihui Xiong, Renguang Zuo
Computers & Geosciences (2020) Vol. 147, pp. 104667-104667
Closed Access | Times Cited: 55
Discovering hidden spatial patterns and their associations with controlling factors for potentially toxic elements in topsoil using hot spot analysis and K-means clustering analysis
Haofan Xu, Peter Croot, Chaosheng Zhang
Environment International (2021) Vol. 151, pp. 106456-106456
Open Access | Times Cited: 55

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