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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 23 citing articles:

GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China
Tao Sun, Fei Chen, Lianxiang Zhong, et al.
Ore Geology Reviews (2019) Vol. 109, pp. 26-49
Open Access | Times Cited: 190
Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China
Tao Sun, Hui Li, Kaixing Wu, et al.
Minerals (2020) Vol. 10, Iss. 2, pp. 102-102
Open Access | Times Cited: 129
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: 5
Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China
Wenchao Huangfu, Weicheng Wu, Xiaoting Zhou, et al.
Sustainability (2021) Vol. 13, Iss. 9, pp. 4830-4830
Open Access | Times Cited: 29
Machine Learning-Based 3D Modeling of Mineral Prospectivity Mapping in the Anqing Orefield, Eastern China
Yaozu Qin, Liangming Liu, Weicheng Wu
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3099-3120
Closed Access | Times Cited: 29
Multi-source data integration and multi-scale modeling framework for progressive prediction of complex geological interfaces in tunneling
Jingxiao Wang, Peinan Li, Xiaoying Zhuang, et al.
Underground Space (2023) Vol. 15, pp. 1-25
Open Access | Times Cited: 13
Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China
Xiaoting Zhou, Weicheng Wu, Ziyu Lin, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5906-5906
Open Access | Times Cited: 25
Tungsten prospectivity mapping using multi-source geo-information and deep forest algorithm
Yue Liu, Tao Sun, Kaixing Wu, et al.
Ore Geology Reviews (2025), pp. 106452-106452
Open Access
Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks
Yang Zheng, Hao Deng, Jingjie Wu, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105618-105618
Closed Access | Times Cited: 3
Multiscale progressive 3D geological modeling based on isochronous stratigraphy identification in urban underground space
You Zhang, He Lingling, Yu‐Yong Jiao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
Closed Access
3D Mineral Prospectivity Modeling for the Low-Sulfidation Epithermal Gold Deposit: A Case Study of the Axi Gold Deposit, Western Tianshan, NW China
Xiancheng Mao, Wei Zhang, Zhankun Liu, et al.
Minerals (2020) Vol. 10, Iss. 3, pp. 233-233
Open Access | Times Cited: 21
Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China
Liangming Liu, Wei Cao, Hongsheng Liu, et al.
Ore Geology Reviews (2022) Vol. 142, pp. 104712-104712
Open Access | Times Cited: 14
Multitarget Intelligent Recognition of Petrographic Thin Section Images Based on Faster RCNN
Hanyu Wang, Wei Cao, Yongzhang Zhou, et al.
Minerals (2023) Vol. 13, Iss. 7, pp. 872-872
Open Access | Times Cited: 6
High-Resolution Mining-Induced Geo-Hazard Mapping Using Random Forest: A Case Study of Liaojiaping Orefield, Central China
Yaozu Qin, Li Cao, Ali Darvishi Boloorani, et al.
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3638-3638
Open Access | Times Cited: 12
Generalized Mathematical Morphological Method for 3D Shape Analysis of Geological Boundaries: Application in Identifying Mineralization-Associated Shape Features
Hao Deng, Xiaofu Huang, Xiancheng Mao, et al.
Natural Resources Research (2021) Vol. 31, Iss. 4, pp. 2103-2127
Closed Access | Times Cited: 12
Using association rules analysis to determine favorable mineralization sites in the Jiaojia gold belt, Jiaodong Peninsula, East China
Xiancheng Mao, Miao Tang, Hao Deng, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 4
Integrate physics-driven dynamics simulation with data-driven machine learning to predict potential targets in maturely explored orefields: A case study in Tongguangshan orefield, Tongling, China
Liangming Liu, Feifu Zhou, Wei Cao
Journal of Geochemical Exploration (2024) Vol. 262, pp. 107478-107478
Closed Access | Times Cited: 1
Prospectivity Mapping of Tungsten Mineralization in Southern Jiangxi Province Using Few-Shot Learning
Kai Zhou, Tao Sun, Yue Liu, et al.
Minerals (2023) Vol. 13, Iss. 5, pp. 669-669
Open Access | Times Cited: 3
Modified Weights-of-Evidence Modeling with Example of Missing Geochemical Data
Daojun Zhang, Frits Agterberg
Complexity (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 7
Prospectivity Mapping of Tungsten Mineralization in Southern Jiangxi Province Using Few-shot Learning
Kai Zhou, Tao Sun, Yue Liu, et al.
(2023)
Open Access | Times Cited: 2
Landslide risk zoning in Ruijin, Jiangxi, China
Xiaoting Zhou, Weicheng Wu, Ziyu Lin, et al.
(2020)
Open Access | Times Cited: 5
An ABC-optimized fuzzy ELECTRE approach for assessing petroleum potential at the petroleum system level
Mohamad Hamzeh, Farid Karimipour
Open Geosciences (2020) Vol. 12, Iss. 1, pp. 580-597
Open Access | Times Cited: 4
Multisource Geoscience Data-Driven Framework for Subsidence Risk Assessment in Urban Area
Yaozu Qin, Li Cao, Shimin Li, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 113, pp. 104901-104901
Open Access
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