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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:

A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan
Timur Merembayev, Darkhan Kurmangaliyev, Bakhbergen E. Bekbauov, et al.
Energies (2021) Vol. 14, Iss. 7, pp. 1896-1896
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

FlexLogNet: A flexible deep learning-based well-log completion method of adaptively using what you have to predict what you are missing
Chuanli Dai, Si Xu, Xinming Wu
Computers & Geosciences (2024) Vol. 191, pp. 105666-105666
Closed Access | Times Cited: 2
Logging Lithology Discrimination with Enhanced Sampling Methods for Imbalance Sample Conditions
Jingyue Liu, Fei Tian, Aosai Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6534-6534
Open Access | Times Cited: 2
Machine Learning Assisted State-of-the-Art-of Petrographic Classification From Geophysical Logs
Bappa Mukherjee, Sohan Kar, Kalachand Sain
Pure and Applied Geophysics (2024)
Closed Access | Times Cited: 2
Data-driven estimation for permeability of simplex pore-throat reservoirs via an improved light gradient boosting machine: A demonstration of sand-mud profile, Ordos Basin, northern China
Yufeng Gu, Yang Yang, Yinshan Gao, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 217, pp. 110909-110909
Closed Access | Times Cited: 10
Optimized feature selection assists lithofacies machine learning with sparse well log data combined with calculated attributes in a gradational fluvial sequence
David A. Wood
Artificial Intelligence in Geosciences (2022) Vol. 3, pp. 132-147
Open Access | Times Cited: 10
Lithological Mapping of Kohat Basin in Pakistan Using Multispectral Remote Sensing Data: A Comparison of Support Vector Machine (SVM) and Artificial Neural Network (ANN)
Fakhar Elahi, Khan Muhammad, Shahab Ud Din, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12147-12147
Open Access | Times Cited: 9
Subsurface Lithology Classification Using Well Log Data, an Application of Supervised Machine Learning
Atul Kumar Patidar, Sarthak Singh, Shubham Anand
Algorithms for intelligent systems (2023), pp. 227-240
Closed Access | Times Cited: 5
Lithological Discrimination of Khyber Range Using Remote Sensing and Machine Learning Algorithms
Sajid Ali, Huan Li, Asghar Ali, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5064-5064
Open Access | Times Cited: 1
Predicting the seismic ground-motion parameters: 3D physics-based numerical simulations combined with artificial neural networks
Zhenning Ba, Linghui Lyu, Jingxuan Zhao, et al.
Earthquake Spectra (2024)
Closed Access | Times Cited: 1
Semi-supervised neural network for complex lithofacies identification using well logs
Shaoqun Dong, Xu Yang, Tao Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Closed Access | Times Cited: 1
Applications of Machine Learning in Sweet-Spots Identification: A Review
Hasan Khanjar
SPE Journal (2024), pp. 1-17
Closed Access | Times Cited: 1
Revolutionizing agri-food technology: Development and validation of the Portable Intelligent Oil Recognition System (PIORS)
Montaser N.A. Ramadan, Mohammed A. H. Ali, Shin Yee Khoo, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100624-100624
Open Access | Times Cited: 1
A hybrid machine learning model for improving regression of mineral composition estimation using well logging data
Xiaojun Liu, Kezhen Hu, Stephen E. Grasby, et al.
(2024), pp. 449-453
Closed Access | Times Cited: 1
A comparison of convolutional neural networks for Kazakh sign language recognition
Chingiz Kenshimov, Самат Mukhanov, Timur Merembayev, et al.
Eastern-European Journal of Enterprise Technologies (2021) Vol. 5, Iss. 2 (113), pp. 44-54
Open Access | Times Cited: 8
Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
Hary Nugroho, Ketut Wikantika, Satria Bijaksana, et al.
Open Geosciences (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 3
GESTURE RECOGNITION OF MACHINE LEARNING AND CONVOLUTIONAL NEURAL NETWORK METHODS FOR KAZAKH SIGN LANGUAGE
Самат Mukhanov, Raissa Uskenbayeva, Young Im Cho, et al.
Scientific Journal of Astana IT University (2023), pp. 85-100
Open Access | Times Cited: 3
Lithofacies prediction driven by logging‐based Bayesian‐optimized ensemble learning: A case study of lacustrine carbonate reservoirs
Yufeng Gu, Shenghan Zhang, Weidong Wang, et al.
Geophysical Prospecting (2022) Vol. 71, Iss. 9, pp. 1835-1872
Closed Access | Times Cited: 5
Integration of remote sensing and geophysical data to enhance lithological mapping utilizing the Random Forest classifier: a case study from Komopa, Papua Province, Indonesia
Hary Nugroho, Ketut Wikantika, Satria Bijaksana, et al.
Journal of Degraded and Mining Lands Management (2023) Vol. 10, Iss. 3, pp. 4417-4417
Open Access | Times Cited: 2
Photoelectric factor prediction using automated learning and uncertainty quantification
Khalid Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 30, pp. 22595-22604
Closed Access | Times Cited: 2
Prediction of compressional sonic log in the western (Tano) sedimentary basin of Ghana, West Africa using supervised machine learning algorithms
Callistus Nero, Akwasi Acheampong Aning, Sylvester K. Danuor, et al.
Heliyon (2023) Vol. 9, Iss. 9, pp. e20242-e20242
Open Access | Times Cited: 2
Well Log Analysis and Comparison of Supervised Machine Learning Algorithms for Lithofacies Identification in Pab Formation, Lower Indus Basin
Pal Washa Shahzad Rathore, Matloob Hussain, Muhammad Bilal Malik, et al.
Journal of Applied Geophysics (2023) Vol. 219, pp. 105199-105199
Closed Access | Times Cited: 2
Machine Learning Approach for Exploration: A Case Study in the Central Sumatra Basin, Indonesia
Zain Mardhika Rubianto, Yudha R. Sinulingga, Mohammad K. Utama, et al.
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2024), pp. 99-102
Closed Access
The Application of Physics Informed Networks to Solve Hyperbolic Partial Differential Equations with Nonconvex Flux Function and Diffusion Term
Yedilkhan Amirgaliyev, Timur Merembayev
Trends in mathematics (2024), pp. 265-270
Closed Access
Machine learning-based classification of petrofacies in fine laminated limestones
Gallileu Genesis Pereira de Sousa, Igor Fernandes Gomes, José Antônio Barbosa, et al.
Anais da Academia Brasileira de Ciências (2024) Vol. 96, Iss. 1
Open Access
SOLUTION TO THE PROBLEM WEAKLY CONTROLLED REGRESSION USING COASSOCIATION MATRIX AND REGULARIZATION
Lyailya Cherikbayeva, Нуржан Мукажанов, Zhibek Alibiyeva, et al.
Herald of Kazakh-British technical university (2024) Vol. 21, Iss. 2, pp. 83-94
Open Access

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