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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:

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

Showing 23 citing articles:

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
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
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: 7
A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection
Zeinab Soltani, Hossein Hassani, Saeid Esmaeiloghli
Computers & Geosciences (2024) Vol. 190, pp. 105657-105657
Closed Access | Times Cited: 7
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
Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Mapping
Steven E. Zhang, C J M Lawley, Julie E. Bourdeau, et al.
Natural Resources Research (2024) Vol. 33, Iss. 3, pp. 995-1023
Open Access | Times Cited: 5
Identification of spodumene using a remote-sensing index cube from SDGSAT-1 and other satellites
Siyuan Li, Nannan Zhang, Yongping Li, et al.
International Journal of Digital Earth (2025) Vol. 18, 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
Geological-knowledge-guided graph self-supervised pretraining framework for identifying mineralization-related geochemical anomalies
Zhiyi Chen, Renguang Zuo
Computers & Geosciences (2025), pp. 105913-105913
Closed Access
Enhancing regional-scale Pb–Zn prospectivity mapping through data augmentation: Joint application of unsupervised random forests and convolutional neural network
Mohammad Hossein Aghahadi, Parham Pahlavani, Seyyed Ataollah Agha Seyyed Mirzabozorg, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Sediment grain segmentation in thin-section images using dual-modal Vision Transformer
Dongyu Zheng, Li Hou, Xiumian Hu, et al.
Computers & Geosciences (2024) Vol. 191, pp. 105664-105664
Closed Access | Times Cited: 4
Geologically constrained unsupervised dual-branch deep learning algorithm for geochemical anomalies identification
Ying Xu, Luyi Shi, Renguang Zuo
Applied Geochemistry (2024) Vol. 174, pp. 106137-106137
Closed Access | Times Cited: 3
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
Mineral Prospectivity Mapping Based on Spatial Feature Classification with Geological Map Knowledge Graph Embedding: Case Study of Gold Ore Prediction at Wulonggou, Qinghai Province (Western China)
Qun Yan, Juan Zhao, Lin-Fu Xue, et al.
Natural Resources Research (2024) Vol. 33, Iss. 6, pp. 2385-2406
Open Access | Times Cited: 2
ArcMPM: An ArcEngine-Based Software for Mineral Prospectivity Mapping via Artificial Intelligence Algorithms
Renguang Zuo, Luyi Shi, Fanfan Yang, et al.
Natural Resources Research (2023) Vol. 33, Iss. 1, pp. 1-21
Closed Access | Times Cited: 6
Data-Driven Mineral Prospectivity Mapping Based on Known Deposits Using Association Rules
Xiaotong Yu, Pengpeng Yu, Kunyi Wang, et al.
Natural Resources Research (2024) Vol. 33, Iss. 3, pp. 1025-1048
Closed Access | Times Cited: 1
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region
Zijing Luo, Renguang Zuo
Mathematical Geosciences (2024)
Closed Access | Times Cited: 1
Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements
Zijing Luo, Ehsan Farahbakhsh, R. Dietmar Müller, et al.
Applied Geochemistry (2024) Vol. 174, pp. 106146-106146
Closed Access | Times Cited: 1
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
Geochemical Anomaly Delineation Utilizing Copula-Based Outlier Detection Method
Shahed Shahrestani, Emmanuel John M. Carranza
(2024)
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
Resource potential evaluation of magmatic cobalt and nickel in the east Kunlun metallogenic belt, northwest of China through a geological-constrained convolutional neural network model
Feng Zhang, Wenjun Li, Yue Liu, et al.
Ore Geology Reviews (2024) Vol. 172, pp. 106204-106204
Open Access
Mineral prospectivity prediction based on the dynamic relation model Atten-GCN: A case study of gold prospecting in the Yingfengjie area, Shaanxi province (northern China)
Rui Wang, Linfu Xue, Yongsheng Li, et al.
Ore Geology Reviews (2024), pp. 106399-106399
Open Access
Prediction of ultrabasic rocks by support vector machine based on airborne magnetic and radioactivity data
Fuxiang Liu, Shengqing Xiong, Hai Yang
Computers & Geosciences (2024) Vol. 196, pp. 105842-105842
Closed Access
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