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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:

Rock type classification based on petrophysical, geochemical, and core imaging data using machine and deep learning techniques
Negin Houshmand, Sebastian D. Goodfellow, Kamran Esmaeili, et al.
Applied Computing and Geosciences (2022) Vol. 16, pp. 100104-100104
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Rock image classification using deep residual neural network with transfer learning
Weihao Chen, Lumei Su, Xinqiang Chen, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 23
Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran
Seyedeh Hajar Eftekhari, Mahmoud Memariani, Zahra Maleki, et al.
Minerals (2024) Vol. 14, Iss. 3, pp. 233-233
Open Access | Times Cited: 13
An ensemble-based strategy for robust predictive volcanic rock typing efficiency on a global-scale: A novel workflow driven by big data analytics
Umar Ashraf, Hucai Zhang, Aqsa Anees, et al.
The Science of The Total Environment (2024) Vol. 937, pp. 173425-173425
Closed Access | Times Cited: 13
Multi-step modeling of well logging data combining unsupervised and deep learning algorithms for enhanced characterization of the Quaternary aquifer system in Debrecen area, Hungary
Musaab A. A. Mohammed, Norbert Péter Szabó, Péter Szűcs
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 3693-3709
Open Access | Times Cited: 7
Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning
Peng Yang, Kamran Esmaeili, Sebastian D. Goodfellow, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1641-1641
Open Access | Times Cited: 13
A novel few-shot learning framework for rock images dually driven by data and knowledge
Zhongliang Chen, Yuan Feng, Xiaohui Li, et al.
Applied Computing and Geosciences (2024) Vol. 21, pp. 100155-100155
Open Access | Times Cited: 4
Exploration of Image-Based Unsupervised Learning Algorithms for Intelligent Rock Classification
Yuan-en Pang, Li Xu, Jiayi Yan, et al.
Geoenergy Science and Engineering (2025), pp. 213707-213707
Closed Access
Towards Automated Joint Detection and RQD Estimation in Acoustic Televiewer Imaging using Deep Learning (Instance Segmentation)
Negin Houshmand, Kamran Esmaeili, Sebastian D. Goodfellow
Geoenergy Science and Engineering (2025), pp. 213730-213730
Closed Access
Lithology Identification of Buried Hill Reservoir Based on XGBoost with Optimized Interpretation
Bin Zhao, Wenlong Liao
Processes (2025) Vol. 13, Iss. 3, pp. 682-682
Open Access
Lithological Mapping in High-Vegetation Areas Using Sentinel-2, Sentinel-1, and Digital Elevation Models
Yansi Chen, Genyuan Liu, Zhihong Song, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2136-2136
Open Access
Physics-integrated neural networks for improved mineral volumes and porosity estimation from geophysical well logs
Prasad Pothana, Kegang Ling
Energy Geoscience (2025), pp. 100410-100410
Open Access
Deep Learning-Driven Analysis of Petrophysical Dynamics in Pay Zone Quality and Reservoir Characterization
Changsheng Deng, Yongke Wang, Wu Mi, et al.
Natural Resources Research (2025)
Closed Access
Data-Driven Classification and Logging Prediction of Mudrock Lithofacies Using Machine Learning: Shale Oil Reservoirs in the Eocene Shahejie Formation, Bonan Sag, Bohai Bay Basin, Eastern China
Qiuhong Chang, Zhuang Ruan, Bingsong Yu, et al.
Minerals (2024) Vol. 14, Iss. 4, pp. 370-370
Open Access | Times Cited: 3
Direct mineral content prediction from drill core images via transfer learning
Romana Boiger, Sergey V. Churakov, Ignacio Ballester Llagaria, et al.
Swiss Journal of Geosciences (2024) Vol. 117, Iss. 1
Open Access | Times Cited: 3
Enhanced lithological mapping via remote sensing: Employing SVM, random trees, ANN, with MNF and PCA transformations
Mohamed Ali El-Omairi, Manal El Garouani, Abdelkader El Garouani
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 28, Iss. 1, pp. 34-52
Closed Access | Times Cited: 3
Predicting rock hardness using Gaussian weighted moving average filter on borehole data and machine learning
Negin Houshmand, Kamran Esmaeili, Sebastian D. Goodfellow, et al.
Minerals Engineering (2023) Vol. 204, pp. 108448-108448
Closed Access | Times Cited: 8
Modeling Permeability Using Advanced White-Box Machine Learning Technique: Application to a Heterogeneous Carbonate Reservoir
Li‐Dong Zhao, Yuanling Guo, Erfan Mohammadian, et al.
ACS Omega (2023) Vol. 8, Iss. 25, pp. 22922-22933
Open Access | Times Cited: 6
The application of small sample theory and confidence interval method to determine the representative mean Leeb rebound hardness value
Saleh Ghadernejad, Kamran Esmaeili
Bulletin of Engineering Geology and the Environment (2023) Vol. 83, Iss. 1
Closed Access | Times Cited: 5
Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning
Le Gao, Kun Wang, Xin Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10269-10269
Open Access | Times Cited: 4
Developing a Novel Machine Learning-Based Petrophysical Rock Typing (PRT) Classification: Applied on Heterogenous Carbonate Reservoirs
Mohammed A. Abbas, Watheq J. Al‐Mudhafar, Ahmed Alsubaih, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 16
Closed Access | Times Cited: 1
Investigating the Relationship between Geochemistry, Leeb Rebound Hardness, and Cerchar Abrasivity Index
Saleh Ghadernejad, Kamran Esmaeili
International Journal of Geomechanics (2024) Vol. 24, Iss. 12
Closed Access | Times Cited: 1
Back propagation neural network model for controlling artificial rocks petrophysical properties during manufacturing process
Huiqing Qi, Shenyao Yang, Shilai Hu, et al.
Petroleum Science and Technology (2024), pp. 1-27
Closed Access | Times Cited: 1
Integrated metaheuristic approaches for estimation of fracture porosity derived from fullbore formation micro-imager logs: Reaping the benefits of stand-alone and ensemble machine learning models
Ali Gholami Vijouyeh, Maha Raoof Hamoudi, Dyana Aziz Bayz, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109545-109545
Closed Access | Times Cited: 1
Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
Saâd Soulaimani, Ayoub Soulaimani, Kamal Abdelrahman, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 1
Alteration assemblage characterization using machine learning applied to high-resolution drill-core images, hyperspectral data and geochemistry
McLean Trott, Cole Mooney, Shervin Azad, et al.
Geochemistry Exploration Environment Analysis (2023) Vol. 23, Iss. 4
Open Access | Times Cited: 2
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