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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:

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

Showing 12 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
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
Bridging geological domain gaps in fluid classification using siamese networks and cross-domain adaptation
Hengxiao Li, Sibo Qiao
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
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 susceptibility evaluation based on interpretable ensemble learning
Zhengbo Yu, Binbin Li, Xingjie Wang
Ore Geology Reviews (2024), pp. 106248-106248
Open Access | Times Cited: 2
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
Improve the interpretability of convolutional neural networks with probability density function
Yueqi Chen, Tingting Pan, Jie Yang
Information Sciences (2024), pp. 121796-121796
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
Geochemical Anomalies Identified by Multifractal Modeling: Implications for Mineral Exploration in the Ziyoutun Cu‐Au District, Jilin Province, China
Huchao Ma, Da Wang, Feng Bai, et al.
Acta Geologica Sinica - English Edition (2024) Vol. 98, Iss. 4, pp. 1111-1124
Closed Access
Detection of multivariate geochemical anomalies using machine learning (ML) algorithms in Dehaq Pb-Zn mineralization, Sanandaj-Sirjan zone, Isfahan, Iran
Poorya Amirajlo, Hossein Hassani, Amin Beiranvand Pour, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
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