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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 integrated machine learning framework with uncertainty quantification for three-dimensional lithological modeling from multi-source geophysical data and drilling data
Zhiqiang Zhang, Gongwen Wang, Emmanuel John M. Carranza, et al.
Engineering Geology (2023) Vol. 324, pp. 107255-107255
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Characterization of natural fracture development in coal reservoirs using logging machine learning inversion, well test data and simulated geostress analyses
Zihao Wang, Yidong Cai, Dameng Liu, et al.
Engineering Geology (2024) Vol. 341, pp. 107696-107696
Closed Access | Times Cited: 10
Multi-seismic attribute analysis for reservoir facies characterisation in “Ik” field, Niger Delta, Nigeria
Ayodele O. Falade, Opeyemi C. Akinnigbagbe, Princess H. Ayefohanne
Marine Georesources and Geotechnology (2025), pp. 1-12
Closed Access | Times Cited: 1
Grouting Geological Model (GGM): Definition, Characterization, Modeling, and Application in Determining Grouting Material and Pressure
Guowei Ma, Zehao Wang, Huidong Wang
Rock Mechanics and Rock Engineering (2025)
Closed Access | Times Cited: 1
Influence of spatial borehole density on estimation of geostatistical properties and construction of heterogeneous hydrogeological models
Duc-Huy Tran, Shih‐Jung Wang, Jia‐Jyun Dong
Engineering Geology (2025), pp. 107991-107991
Closed Access | Times Cited: 1
A Deep Learning Method for 3D Geological Modeling Using ET4DD with Offset-Attention Mechanism
Anjing Ren, Liang Wu, Jianglong Xu, et al.
Computers & Geosciences (2025), pp. 105929-105929
Closed Access | Times Cited: 1
GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data
Jiateng Guo, Xuechuang Xu, Luyuan Wang, et al.
Geoscientific model development (2024) Vol. 17, Iss. 3, pp. 957-973
Open Access | Times Cited: 8
Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network
Zhesi Cui, Qiyu Chen, Jian Luo, et al.
Water Resources Research (2024) Vol. 60, Iss. 11
Open Access | Times Cited: 8
Evaluating the long-term barrier performance of fractured granite for nuclear waste disposal: Impact of fast water-conducting path
Yingtao Hu, Wenjie Xu, Liangchao Zou, et al.
Engineering Geology (2024) Vol. 337, pp. 107583-107583
Closed Access | Times Cited: 7
Soil property recovery from incomplete in-situ geotechnical test data using a hybrid deep generative framework
Weihang Chen, Jianwen Ding, Tengfei Wang, et al.
Engineering Geology (2023) Vol. 326, pp. 107332-107332
Closed Access | Times Cited: 14
Prediction of local site influence on seismic vulnerability using machine learning: A study of the 6 February 2023 Türkiye earthquakes
Mustafa Şenkaya, Ali Silahtar, Enes Furkan Erkan, et al.
Engineering Geology (2024) Vol. 337, pp. 107605-107605
Closed Access | Times Cited: 6
Evaluating the chain of uncertainties in the 3D geological modelling workflow
Anne‐Sophie Høyer, Peter B.E. Sandersen, Lærke Therese Andersen, et al.
Engineering Geology (2024) Vol. 343, pp. 107792-107792
Closed Access | Times Cited: 4
Data-driven framework for predicting rate of penetration in deepwater granitic formations: A marine engineering geology perspective with comprehensive model interpretability
Yichi Zhang, Liang Yu, Lele Yang, et al.
Engineering Geology (2025), pp. 108039-108039
Closed Access
3D fusion modeling of multi-scale geological structures based on subdivision-NURBS surfaces and stratigraphic sequence formalization
Mingming Lyu, Xiaomin Liu, Junlong Zhou, et al.
Open Geosciences (2025) Vol. 17, Iss. 1
Open Access
An integrated machine learning framework using borehole descriptions for 3D lithological modeling
Deping Chu, Bo Wan, Yiyang Liu, et al.
Engineering Geology (2025), pp. 108050-108050
Closed Access
Assessing uncertainty propagation in CPTu-based hydro-mechanical subsoil characterization using a multivariate stochastic simulation approach
Diego Di Curzio, Annamaria Castrignanò, Giovanna Vessia
Engineering Geology (2025), pp. 108064-108064
Open Access
Machine-Learning-Based Integrated Mining Big Data and Multi-Dimensional Ore-Forming Prediction: A Case Study of Yanshan Iron Mine, Hebei, China
Yuhao Chen, Gongwen Wang, Nini Mou, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4082-4082
Open Access
A comparison of metaheuristic optimizations with automated hyperparameter tuning methods in support vector machines algorithm for predicting soil water characteristic curve
Mostafa Rastgou, Yong He, Ruitao Lou, et al.
Engineering Geology (2025), pp. 108121-108121
Closed Access
An Uncertainty-Quantification Machine Learning Framework for Data-Driven Three-Dimensional Mineral Prospectivity Mapping
Zhiqiang Zhang, Gongwen Wang, Emmanuel John M. Carranza, et al.
Natural Resources Research (2024) Vol. 33, Iss. 4, pp. 1393-1411
Closed Access | Times Cited: 3
UNet-like transformer for 1D soil stratification using cone penetration test and borehole data
Xiaoqi Zhou, Peixin Shi
Engineering Geology (2024) Vol. 343, pp. 107795-107795
Closed Access | Times Cited: 3
Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector machines and random forest
Mehrdad Daviran, Reza Ghezelbash, Mahsa Hajihosseinlou, et al.
Modeling Earth Systems and Environment (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 3
SsL-VGMM: A Semisupervised Machine Learning Model of Multisource Data Fusion for Lithology Prediction
Pengfei Lv, Weiying Chen, Hai Li, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 1993-2007
Closed Access | Times Cited: 1
Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China
Xiaoning Liu, Gongwen Wang, Jingyi Lv, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access
Reconstructing Three-Dimensional Geological Model for Tunnel Engineering Based on Borehole Data Using Computer Vision Technique
Qiming Li, Qian Fang
(2024)
Closed Access
Refined implicit characterization of engineering geology with uncertainties: a divide-and-conquer tactic-based approach
Mingchao Li, Chuangwei Chen, Hui Liang, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 7
Open Access
Fuzzy Mapping of Integrated Multi-Parameter Tomographic Data to Detect and Localize Geophysical Targets
Giorgio De Donno, Michele Cercato, Davide Melegari, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access
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