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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:

Evaluation and Development of a Predictive Model for Geophysical Well Log Data Analysis and Reservoir Characterization: Machine Learning Applications to Lithology Prediction
Aditya Mishra, Anjali Sharma, Atul Kumar Patidar
Natural Resources Research (2022) Vol. 31, Iss. 6, pp. 3195-3222
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

A Robust Strategy of Geophysical Logging for Predicting Payable Lithofacies to Forecast Sweet Spots Using Digital Intelligence Paradigms in a Heterogeneous Gas Field
Umar Ashraf, Hucai Zhang, Hung Vo Thanh, et al.
Natural Resources Research (2024) Vol. 33, Iss. 4, pp. 1741-1762
Closed Access | Times Cited: 16
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
The prominence of carbon capture, utilization and storage technique, a special consideration on India
Atul Kumar Patidar, Rahul Kumar Singh, Tanupriya Choudhury
Gas Science and Engineering (2023) Vol. 115, pp. 204999-204999
Closed Access | Times Cited: 20
Data science's pivotal role in enhancing oil recovery methods while minimizing environmental footprints: An insightful review
Williams Ozowe, Adindu Donatus Ogbu, Augusta Heavens Ikevuje
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 7, pp. 1621-1633
Open Access | Times Cited: 4
Interpretable SHAP Model Combining Meta-learning and Vision Transformer for Lithology Classification Using Limited and Unbalanced Drilling Data in Well Logging
Youzhuang Sun, Shanchen Pang, Zhiyuan Zhao, et al.
Natural Resources Research (2024) Vol. 33, Iss. 6, pp. 2545-2565
Closed Access | Times Cited: 4
Porosity Prediction of Dense Sandstone Reservoir Based on Deep Neural Network
T. Y. Jiao, Bo Xiao, Yong Huang, et al.
Sustainable civil infrastructures (2025), pp. 379-391
Closed Access
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
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
Dynamic graph learning-based higher-order graph convolutional networks for fluid classification in oil and gas exploration
Hengxiao Li, Youzhuang Sun, Sibo Qiao
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
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
Comparison of Supervised and Unsupervised Machine Learning for Well-Log Depth Alignment
Sayandeep Acharya, Karl Fabian, K. Westeng
SPE/IADC International Drilling Conference and Exhibition (2025)
Closed Access
Utilizing conditional generative adversarial networks for data augmentation in logging evaluation
Lu Qiao, Taohua He, Xianglong Liu, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Bridging geological domain gaps in fluid classification using siamese networks and cross-domain adaptation
Hengxiao Li, Sibo Qiao
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Evaluating the Ranikot formation in the middle Indus Basin, Pakistan as a promising secondary reservoir for development
Muhsan Ehsan, Rujun Chen, Muhammad Ali, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2025) Vol. 11, Iss. 1
Open Access
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: 3
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
A Transformer and LSTM-Based Approach for Blind Well Lithology Prediction
Danyan Xie, Zeyang Liu, Fuhao Wang, et al.
Symmetry (2024) Vol. 16, Iss. 5, pp. 616-616
Open Access | Times Cited: 3
Improving Lithofacies Prediction in Lacustrine Shale by Combining Deep Learning and Well Log Curve Morphology in Sanzhao Sag, Songliao Basin, China
Xiaozhuo Wu, Hao Xu, Haiyan Zhou, et al.
Computers & Geosciences (2024), pp. 105735-105735
Closed Access | Times Cited: 3
MS-CGAN: Fusion of conditional generative adversarial networks and multi-scale spatio-temporal features for lithology identification
Pengwei Zhang, Jiadong Ren, Fengda Zhao, et al.
Journal of Applied Geophysics (2024), pp. 105531-105531
Closed Access | Times Cited: 3
Construction of a fluvial facies knowledge graph and its application in sedimentary facies identification
Lei Zhang, Mingcai Hou, Anqing Chen, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 2, pp. 101521-101521
Open Access | Times Cited: 13
Swin Transformer based fluid classification using Gram angle field-converted well logging data: A novel approach
Youzhuang Sun, Junhua Zhang, Yong-An Zhang
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 2
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
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
Fluid identification with Graph Transformer using well logging data
Youzhuang Sun, Shanchen Pang, Yongan Zhang
Physics of Fluids (2024) Vol. 36, Iss. 6
Closed Access | Times Cited: 2
Innovative Lithology Identification Enhancement via the Recurrent Transformer Model with Well Logging Data
Youzhuang Sun, Shanchen Pang, Yongan Zhang
Geoenergy Science and Engineering (2024) Vol. 240, pp. 213015-213015
Closed Access | Times Cited: 2
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