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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:

Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective
Soumi Chaki, Aurobinda Routray, William K. Mohanty
IEEE Signal Processing Magazine (2018) Vol. 35, Iss. 2, pp. 72-81
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

70 years of machine learning in geoscience in review
Jesper Dramsch
Advances in geophysics (2020), pp. 1-55
Open Access | Times Cited: 218
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, et al.
Computers & Geosciences (2019) Vol. 135, pp. 104357-104357
Closed Access | Times Cited: 135
Semi-supervised learning for acoustic impedance inversion
Motaz Alfarraj, Ghassan AlRegib
(2019)
Open Access | Times Cited: 84
Petrophysical properties prediction from prestack seismic data using convolutional neural networks
Vishal Das, Tapan Mukerji
Geophysics (2020) Vol. 85, Iss. 5, pp. N41-N55
Closed Access | Times Cited: 81
Insights into the Application of Machine Learning in Reservoir Engineering: Current Developments and Future Trends
Hai Wang, Shengnan Chen
Energies (2023) Vol. 16, Iss. 3, pp. 1392-1392
Open Access | Times Cited: 22
Seismic Inversion based on Fusion Neural Network for the Joint Estimation of Acoustic Impedance and Porosity
Hui Sun, Jian Zhang, Yiran Xue, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-10
Closed Access | Times Cited: 9
Petrophysical-property estimation from seismic data using recurrent neural networks
Motaz Alfarraj, Ghassan AlRegib
(2018), pp. 2141-2146
Open Access | Times Cited: 70
Deep carbonate reservoir characterisation using multi-seismic attributes via machine learning with physical constraints
Yuanyuan Chen, Luanxiao Zhao, Jianguo Pan, et al.
Journal of Geophysics and Engineering (2021) Vol. 18, Iss. 5, pp. 761-775
Open Access | Times Cited: 40
Review of application of artificial intelligence techniques in petroleum operations
Saeed Bahaloo, Masoud Mehrizadeh, Adel Najafi‐Marghmaleki
Petroleum Research (2022) Vol. 8, Iss. 2, pp. 167-182
Open Access | Times Cited: 32
A Novel Pipeline Age Evaluation: Considering Overall Condition Index and Neural Network Based on Measured Data
Hassan Noroznia, Majid Gandomkar, Javad Nikoukar, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 252-268
Open Access | Times Cited: 16
A Novel Generative Adversarial Network for the Removal of Noise and Baseline Drift in Seismic Signals
Youming Chen, Duofa Ji, Qiang Ma, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 6
A Stratigraphic Prediction Method Based on Machine Learning
Cuiying Zhou, Jinwu Ouyang, Weihua Ming, et al.
Applied Sciences (2019) Vol. 9, Iss. 17, pp. 3553-3553
Open Access | Times Cited: 48
A probabilistic neural network (PNN) based framework for lithology classification using seismic attributes
Soumi Chaki, Aurobinda Routray, William K. Mohanty
Journal of Applied Geophysics (2022) Vol. 199, pp. 104578-104578
Closed Access | Times Cited: 25
Interactive machine learning for segmenting pores of sandstone in computed tomography images
Yan Zhang, Zhiping Li, Hao Wu
Gas Science and Engineering (2024) Vol. 126, pp. 205343-205343
Closed Access | Times Cited: 5
Convolutional Neural Networks to Estimate Residual Oil Saturation Through Partitioning Interwell Tracer Tests
Moises Velasco-Lozano, Matthew T. Balhoff
SPE Journal (2025), pp. 1-19
Closed Access
Improved reservoir characterization by means of supervised machine learning and model-based seismic impedance inversion in the Penobscot field, Scotian Basin
Satya Narayan, Soumyashree Debasis Sahoo, Soumitra Kar, et al.
Energy Geoscience (2023) Vol. 5, Iss. 2, pp. 100180-100180
Open Access | Times Cited: 12
A systematic machine learning method for reservoir identification and production prediction
Wei Liu, Zhangxin Chen, Yuan Hu, et al.
Petroleum Science (2022) Vol. 20, Iss. 1, pp. 295-308
Open Access | Times Cited: 16
Semisupervised sequence modeling for elastic impedance inversion
Motaz Alfarraj, Ghassan AlRegib
Interpretation (2019) Vol. 7, Iss. 3, pp. SE237-SE249
Open Access | Times Cited: 27
The Role of Machine Learning in Earthquake Seismology: A Review
Anup Chitkeshwar
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
Artificial neural networks
Mohammad Ali Ahmadi
Elsevier eBooks (2024), pp. 281-342
Closed Access | Times Cited: 2
Seismic Lithology/Fluid Prediction via a Hybrid ISD-CNN
Jian Zhang, Jingye Li, Xiaohong Chen, et al.
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 1, pp. 13-17
Closed Access | Times Cited: 19
Predicting Shale Volume from Seismic Traces Using Modified Random Vector Functional Link Based on Transient Search Optimization Model: A Case Study from Netherlands North Sea
Mohamed Abd Elaziz, Ashraf Ghoneimi, Ammar H. Elsheikh, et al.
Natural Resources Research (2022) Vol. 31, Iss. 3, pp. 1775-1791
Closed Access | Times Cited: 10
ANN-based multicomponent seismic data-driven prediction of gas-bearing distribution
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 2
Closed Access | Times Cited: 8
Direct estimation of porosity from seismic data using rock- and wave-physics-informed neural networks
Divakar Vashisth, Tapan Mukerji
The Leading Edge (2022) Vol. 41, Iss. 12, pp. 840-846
Closed Access | Times Cited: 8
Integrating Machine Learning Workflow into Numerical Simulation for Optimizing Oil Recovery in Sand-Shale Sequences and Highly Heterogeneous Reservoir
Dung Bui, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, et al.
Geotechnics (2024) Vol. 4, Iss. 4, pp. 1081-1105
Open Access | Times Cited: 1
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