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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.

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Showing 19 citing articles:

A review on hyperspectral imagery application for lithological mapping and mineral prospecting: Machine learning techniques and future prospects
Soufiane Hajaj, Abderrazak El Harti, Amin Beiranvand Pour, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101218-101218
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: 26
Optimizing mineral identification for sustainable resource extraction through hybrid deep learning enabled FinTech model
Magdalena Rădulescu, Surjeet Dalal, Umesh Kumar Lilhore, et al.
Resources Policy (2024) Vol. 89, pp. 104692-104692
Closed Access | Times Cited: 17
Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco
Soufiane Hajaj, Abderrazak El Harti, Amine Jellouli, et al.
Minerals (2023) Vol. 13, Iss. 6, pp. 766-766
Open Access | Times Cited: 21
Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science
Fanfan Yang, Renguang Zuo, Oliver P. Kreuzer
Earth-Science Reviews (2024), pp. 104941-104941
Closed Access | Times Cited: 7
An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images
Ziye Wang, Renguang Zuo
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6414-6425
Open Access | Times Cited: 5
Small sample learning based on probability-informed neural networks for SAR image segmentation
Anna Dostovalova, Andrey Gorshenin
Neural Computing and Applications (2025)
Closed Access
Lithological Classification Using ZY1-02D Hyperspectral Data by Means of Machine Learning and Deep Learning Methods in the Kohat–Pothohar Plateau, Khyber Pakhtunkhwa, Pakistan
Waqar Ahmad, Lei Liu, Zhenhua Guo, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1356-1356
Open Access
A new iterative endmember extraction and spectral matching approach to improve the accuracy of mineral identification and mapping
Zoulikha Mehalli, Ehlem Zigh, Abdelhamid Loukil, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 6
Closed Access
Lithological Classification by Hyperspectral Remote Sensing Images Based on Double-Branch Multiscale Dual-Attention Network
Hanhu Liu, Heng Zhang, Ronghao Yang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14726-14741
Open Access | Times Cited: 3
Toward Data-Driven Mineral Prospectivity Mapping from Remote Sensing Data Using Deep Forest Predictive Model
Abdallah M. Mohamed Taha, Gang Liu, Qiyu Chen, et al.
Natural Resources Research (2024) Vol. 33, Iss. 6, pp. 2407-2431
Closed Access | Times Cited: 2
A Novel Sample Generation Method for Deep Learning Lithological Mapping with Airborne TASI Hyperspectral Data in Northern Liuyuan, Gansu, China
Huize Liu, Ke Wu, Dandan Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2852-2852
Open Access | Times Cited: 2
Research on Classification of Grassland Degeneration Indicator Objects Based on UAV Hyperspectral Remote Sensing and 3D_RNet-O Model
Eerdoumutu Jin, Jianmin Du, Yuge Bi, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1114-1114
Open Access | Times Cited: 1
One-Dimensional-Mixed Convolution Neural Network and Covariance Pooling Model for Mineral Mapping of Porphyry Copper Deposit Using PRISMA Hyperspectral Data
Sima Peyghambari, Yun Zhang, Hassan Heidarian, et al.
Photogrammetric Engineering & Remote Sensing (2024) Vol. 90, Iss. 8, pp. 511-522
Closed Access | Times Cited: 1
Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images
Youcef Attallah, Ehlem Zigh, Adda Ali‐Pacha
Reports on Geodesy and Geoinformatics (2024) Vol. 118, Iss. 1, pp. 82-91
Open Access | Times Cited: 1
Endmember Extraction for LCT Pegmatite Detection in Brazil – A New Approach for Greenfield Prospection using Hyperspectral Data
Douglas Santos, Areli Nogueira, Joana Cardoso-Fernandes, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 7724-7728
Closed Access
Hyperspectral Rock Classification Method Based on Spatial-Spectral Multidimensional Feature Fusion
Shixian Cao, Wenyuan Wu, Xinyu Wang, et al.
Minerals (2024) Vol. 14, Iss. 9, pp. 923-923
Open Access
Cloud detection sample generation algorithm for nighttime satellite imagery based on daytime data and machine learning application
Xiaohang Shi, Yulong Fan, Lin Sun, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Image Identification and Land Use Management of Anomalous Minerals from Geophysical Information and Deep Convolutional Networks
Xu Zhang, Yuan Han, Yongxing Zhang
The Journal of Geology (2023) Vol. 131, Iss. 4, pp. 325-337
Closed Access
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