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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:

Lithology prediction from well log data using machine learning techniques: A case study from Talcher coalfield, Eastern India
Thinesh Kumar, Naresh Kumar Seelam, G. Srinivasa Rao
Journal of Applied Geophysics (2022) Vol. 199, pp. 104605-104605
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

A real-time intelligent lithology identification method based on a dynamic felling strategy weighted random forest algorithm
Tie Yan, Rui Xu, Shihui Sun, et al.
Petroleum Science (2023) Vol. 21, Iss. 2, pp. 1135-1148
Open Access | Times Cited: 56
A Comparative Study of Different CNN Models and Transfer Learning Effect for Underwater Object Classification in Side-Scan Sonar Images
Xing Du, Yongfu Sun, Yupeng Song, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 593-593
Open Access | Times Cited: 30
Enhanced Lithology Classification Using an Interpretable SHAP Model Integrating Semi-Supervised Contrastive Learning and Transformer with Well Logging Data
Youzhuang Sun, Shanchen Pang, Hengxiao Li, et al.
Natural Resources Research (2025)
Closed Access | Times Cited: 1
Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data
Zihao Wang, Yidong Cai, Dameng Liu, et al.
International Journal of Coal Geology (2023) Vol. 268, pp. 104208-104208
Open Access | Times Cited: 17
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: 6
Shale volume estimation using ANN, SVR, and RF algorithms compared with conventional methods
Fatemeh Mohammadinia, A.A. Ranjbar, Moein Kafi, et al.
Journal of African Earth Sciences (2023) Vol. 205, pp. 104991-104991
Closed Access | Times Cited: 14
Hydrocarbon potential and reservoir characteristics of incised-valley transgressive sandstones: A case study of the Messinian gas reservoirs (Nile Delta Basin, Egypt)
Mohamed Abdel Fattah, H. Hamdan, Mohammad Abdelfattah Sarhan
Journal of African Earth Sciences (2023) Vol. 207, pp. 105073-105073
Closed Access | Times Cited: 13
A Machine Learning-Based Approach to Automatic Multi-Model History Matching and Dynamic Prediction
Feng Guoqing, Mo Haishuai, Baofeng Wu, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Fluid identification in geological exploration using transformer models and deep reinforcement learning
Wenjing Yin, Hengxiao Li, Zhiyuan Zhao, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Machine learning assisted geophysical characterization of deep-seated Upper Jurassic carbonate deposits in Penobscot Field, Nova Scotia
Vijay Kumar, Satya Narayan, Soumyashree Debasis Sahoo, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103876-103876
Closed Access
Coal Seam Roof and Floor Lithology Prediction for Underground Coal Gasification Based on Deep Residual Shrinkage Network
Jialiang Guo, Ruizhao Yang, Fengtao Han
Energy Science & Engineering (2025)
Open Access
Estimating coal proximate parameters and Gross Calorific Value from geophysical logs in Talcher coalfield using multi-layer perceptron, multi-output regression, and ensemble machine learning
Thinesh Kumar, Naresh Kumar Seelam, G. Srinivasa Rao
Journal of Earth System Science (2025) Vol. 134, Iss. 2
Closed Access
Accuracy assessment of various supervised machine learning algorithms in litho-facies classification from seismic data in the Penobscot field, Scotian Basin
Satya Narayan, Suresh Konka, Akash Chandra, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 11
Adaboost algorithm combined multiple random forest models (Adaboost-RF) is employed for fluid prediction using well logging data
Youzhuang Sun, Junhua Zhang, Yong-An Zhang
Physics of Fluids (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 4
A deep learning object detection method for fracture identification using conventional well logs
Shaoqun Dong, Jingru Hao, Lianbo Zeng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 4
Revolutionizing fluid identification in well logging data with a novel framework of progressive gated transformers and multi-scale temporal features
Wenjing Yin, Hengxiao Li, Zhiyuan Zhao, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
High-resolution characterization of complex groundwater systems using wireline logs analyzed with machine learning classifiers and isometric mapping techniques
Musaab A. A. Mohammed, Norbert Péter Szabó, Péter Szűcs
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Open Access
An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems
Musaab A. A. Mohammed, Norbert Péter Szabó, Abdelrhim Eltijani, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diverse machine learning applications for coal property characterization of coalbed methane and mining resources
David A. Wood
Elsevier eBooks (2025), pp. 361-411
Closed Access
Fluid classification through well logging is conducted using the extreme gradient boosting model based on the adaptive piecewise flatness-based fast transform feature extraction algorithm
Youzhuang Sun, Junhua Zhang, Yong-An Zhang
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 3
Machine learning assisted lithology prediction using geophysical logs: A case study from Cambay basin
Rahul Prajapati, Bappa Mukherjee, Upendra K. Singh, et al.
Journal of Earth System Science (2024) Vol. 133, Iss. 2
Closed Access | Times Cited: 3
New Deep Learning Network (Deep Residual Shrinkage Network) Is Applied for Lithology Identification To Search for the Reservoir of CO2 Geological Storage
Youzhuang Sun, Junhua Zhang, Yongan Zhang
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 2200-2211
Closed Access | Times Cited: 2
Applicability of deep neural networks for lithofacies classification from conventional well logs: An integrated approach
Saud Qadir Khan, Farzain Ud Din Kirmani
Petroleum Research (2024) Vol. 9, Iss. 3, pp. 393-408
Open Access | Times Cited: 2
Advancing fluid identification via well-logging data: Leveraging persistent initialization and transformer modeling
Youzhuang Sun, Shanchen Pang, Yongan Zhang
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 2
Predicting Mineralogical Composition in Unconventional Formations Using Machine Learning and Well Logging Data
Batyrkhan Gainitdinov, Yury Meshalkin, E. Chekhonin, et al.
(2024)
Closed Access | Times Cited: 2
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