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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:

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

Showing 20 citing articles:

Machine Learning-Based Mapping for Mineral Exploration
Renguang Zuo, Emmanuel John M. Carranza
Mathematical Geosciences (2023) Vol. 55, Iss. 7, pp. 891-895
Open Access | Times Cited: 34
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: 28
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
Density based spatial clustering of applications with noise and fuzzy C-means algorithms for unsupervised mineral prospectivity mapping
Reza Ghezelbash, Mehrdad Daviran, Abbas Maghsoudi, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 1
Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network
康利 千賀, Jie Dong, Haozheng Ma, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104384-104384
Open Access | Times Cited: 1
Quantification of Uncertainty Associated with Evidence Layers in Mineral Prospectivity Mapping Using Direct Sampling and Convolutional Neural Network
Fanfan Yang, Ziye Wang, Renguang Zuo, et al.
Natural Resources Research (2022) Vol. 32, Iss. 1, pp. 79-98
Closed Access | Times Cited: 35
The graph attention network and its post-hoc explanation for recognizing mineralization-related geochemical anomalies
Ying Xu, Renguang Zuo, Gubin Zhang
Applied Geochemistry (2023) Vol. 155, pp. 105722-105722
Closed Access | Times Cited: 20
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
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
Identifying geochemical element distribution patterns through multiple-point geostatistical simulation and singularity analysis: A case study of the Wulonggou-Balong Area, Qinghai, China
Mengyu Zhao, Qinglin Xia, Wenjun Li
Geochemistry (2025), pp. 126294-126294
Closed Access
Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data
Sijian Wu, Yue Liu
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1314-1314
Open Access
Features Leverage in Graph Models for Mineral Prospectivity Mapping
Thi Vu, Thi-Bich-Hanh Dao, Nhu-Van Nguyen, et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2025), pp. 597-604
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
Improving Geological Remote Sensing Interpretation Via a Contextually Enhanced Multiscale Feature Fusion Network
康利 千賀, Zhijun Zhang, Yusen Dong, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6158-6173
Open Access | Times Cited: 3
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns
Saeid Esmaeiloghli, Seyed Hassan Tabatabaei, Shahram Hosseini, et al.
Mathematical Geosciences (2023) Vol. 56, Iss. 6, pp. 1255-1283
Closed Access | Times Cited: 7
3D Au Targeting using Machine Learning with Different Sample Combination and Return-Risk Analysis in the Sanshandao-Cangshang District, Shandong Province, China
Meng Gao, Gongwen Wang, Emmanuel John M. Carranza, et al.
Natural Resources Research (2023) Vol. 33, Iss. 1, pp. 51-74
Closed Access | Times Cited: 5
Adaptive direct sampling-based approach to ore grade modeling
Zhanglin Li, S. A. Yi, Ning Wang, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 3, pp. 2537-2554
Closed Access | Times Cited: 1
Graph convolutional network for lithological classification and mapping using stream sediment geochemical data and geophysical data
Fang Hao, Yue Liu, Qingteng Zhang
Geochemistry Exploration Environment Analysis (2024) Vol. 24, Iss. 2
Closed 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
Indicator element selection and lithological mapping using deep learning methods in the Dahongliutan area, NW China
Lian Chen, Nannan Zhang, Jinyu Chang, et al.
Journal of Geochemical Exploration (2024), pp. 107611-107611
Closed Access | Times Cited: 1
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