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:

Lithological Mapping Using a Convolutional Neural Network based on Stream Sediment Geochemical Survey Data
Xue-ping Wang, Renguang Zuo, Ziye Wang
Natural Resources Research (2022) Vol. 31, Iss. 5, pp. 2397-2412
Closed Access | Times Cited: 18

Showing 18 citing articles:

Graph Deep Learning Model for Mapping Mineral Prospectivity
Renguang Zuo, Ying Xu
Mathematical Geosciences (2022) Vol. 55, Iss. 1, pp. 1-21
Closed Access | Times Cited: 78

Lithology identification using graph neural network in continental shale oil reservoirs: A case study in Mahu Sag, Junggar Basin, Western China
Guoqing Lu, Lianbo Zeng, Shaoqun Dong, et al.
Marine and Petroleum Geology (2023) Vol. 150, pp. 106168-106168
Closed Access | Times Cited: 37

An intelligent lithology recognition system for continental shale by using digital coring images and convolutional neural networks
Zhuo Zhang, Jizhou Tang, Bo Fan, et al.
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212909-212909
Closed Access | Times Cited: 8

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

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

Rock physics-based analysis to discriminate lithology and pore fluid saturation of carbonate reservoirs: a case study
Esmael Makarian, Ayub Elyasi, Rasoul Hamidzadeh Moghadam, et al.
Acta Geophysica (2023) Vol. 71, Iss. 5, pp. 2163-2180
Closed Access | Times Cited: 11

LMAFNet: Lightweight multi-scale adaptive fusion network with vertical reservoir information for lithology identification
Pengwei Zhang, Jiadong Ren, Fengda Zhao, et al.
Geoenergy Science and Engineering (2025), pp. 213762-213762
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

Attention mechanism-enhanced graph convolutional neural network for unbalanced lithology identification
Aiting Wang, Shuyu Zhao, Kai Xie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

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

OreFormer: Ore Sorting Transformer Based on ConvNet and Visual Attention
Yang Liu, Xueyi Wang, Zelin Zhang, et al.
Natural Resources Research (2024) Vol. 33, Iss. 2, pp. 521-538
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

A Framework for Predicting the Gas-Bearing Distribution of Unconventional Reservoirs by Deep Learning
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Natural Resources Research (2024) Vol. 33, Iss. 4, pp. 1625-1655
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

Combining the Back Propagation Neural Network and Particle Swarm Optimization Algorithm for Lithological Mapping in North China
Yanqi Dong, Zhibin Ma, Fu Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4134-4134
Open Access | Times Cited: 3

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