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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:

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

Showing 1-25 of 26 citing articles:

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: 42
Explainable artificial intelligence models for mineral prospectivity mapping
Renguang Zuo, Qiuming Cheng, Ying Xu, et al.
Science China Earth Sciences (2024) Vol. 67, Iss. 9, pp. 2864-2875
Closed Access | Times Cited: 16
Unsupervised detection of multivariate geochemical anomalies using a high-performance deep autoencoder Gaussian mixture model
Xuemei Wang, Yongliang Chen
Journal of Geochemical Exploration (2025), pp. 107671-107671
Closed Access | Times Cited: 1
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: 29
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: 23
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
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability
Chunjie Zhang, Renguang Zuo
Mathematical Geosciences (2024) Vol. 56, Iss. 6, pp. 1233-1254
Closed Access | Times Cited: 6
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 5
Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing
Mohammad Parsa, C J M Lawley, Tarryn Cawood, et al.
Natural Resources Research (2025)
Open Access
Variable Selection Algorithm for Explaining Anomalies in Real-World Regenerative Thermal Oxidizers
Minji Seo, Myung Ho Kim
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
Rotation-based outlier detection for geochemical anomaly identification in stream sediment multivariate data
Shahed Shahrestani, Ioan Sanislav, Hosein Fereydooni
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
An interpretable attention branch convolutional neural network for identifying geochemical anomalies related to mineralization
Fanfan Yang, Renguang Zuo, Yihui Xiong, et al.
Journal of Geochemical Exploration (2023) Vol. 252, pp. 107274-107274
Closed Access | Times Cited: 12
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
Spatial-Spectrum Two-Branch Model Based on a Superpixel Graph Convolutional Network and 1DCNN for Geochemical Anomaly Identification
Ying Xu, Renguang Zuo
Mathematical Geosciences (2024) Vol. 57, Iss. 2, pp. 307-331
Closed Access | Times Cited: 3
A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling
Nini Mou, Emmanuel John M. Carranza, Gongwen Wang, et al.
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2439-2462
Closed Access | Times Cited: 9
One-dimensional convolutional neural network for mapping mineral prospectivity: A case study in Changba ore concentration area, Gansu Province
Binbin Li, Zhengbo Yu, Xijun Ke
Ore Geology Reviews (2023) Vol. 160, pp. 105573-105573
Open Access | Times Cited: 6
Machine Learning-Based Uranium Prospectivity Mapping and Model Explainability Research
Weihao Kong, Jianping Chen, Pengfei Zhu
Minerals (2024) Vol. 14, Iss. 2, pp. 128-128
Open Access | Times Cited: 1
Feature Extraction and Personalized Sports Training for Athletes Using Variational Autoencoder (VAE)
Nan Wen, Dilixiati Diliya
(2024), pp. 574-580
Closed Access | Times Cited: 1
Masked Autoregressive Flow for Geochemical Anomaly Detection with Application to Li–Cs–Ta Pegmatites Exploration of the Superior Craton, Canada
Céline Scheidt, Lucie Mathieu, Zhen Yin, et al.
Natural Resources Research (2024)
Closed Access | Times Cited: 1
Improved mineral prospectivity mapping using graph neural networks
F M H Sihombing, Richard M. Palin, Hannah S.R. Hughes, et al.
Ore Geology Reviews (2024) Vol. 172, pp. 106215-106215
Open Access
Domain Adversarial Neural Network for Mapping Mineral Prospectivity
Qingyang Lin, Renguang Zuo
Mathematical Geosciences (2024) Vol. 57, Iss. 3, pp. 471-498
Closed Access
Identification of Geochemical Anomalies Using a Memory-Augmented Autoencoder Model with Geological Constraint
Tao Luo, Zhongli Zhou, Long Tang, et al.
Natural Resources Research (2024) Vol. 34, Iss. 1, pp. 23-40
Closed Access
可解释性矿产预测人工智能模型
仁广 左, 秋明 成, 莹 许, et al.
SCIENTIA SINICA Terrae (2024) Vol. 54, Iss. 9, pp. 2917-2928
Open Access
Spatial weighting — An effective incorporation of geological expertise into deep learning models
Wenlei Wang, Chenyi Zhao, Yixiao Wu
Geochemistry (2024), pp. 126212-126212
Closed Access
The application of artificial intelligence-assisted technology in cultural and creative product design
Jing Liang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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