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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:

Automatic prediction of shear wave velocity using convolutional neural networks for different reservoirs in Ordos Basin
Yan Zhang, Chunlei Zhang, Qiaoyu Ma, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109252-109252
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems
Hung Vo Thanh, Hemeng Zhang, Mohammad Rahimi, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 5, pp. 113435-113435
Closed Access | Times Cited: 11
Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran
MohammadRasool Dehghani, Shahryar Jahani, A.A. Ranjbar
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Shear wave velocity prediction: A review of recent progress and future opportunities
John Oluwadamilola Olutoki, Jianguo Zhao, Numair Ahmed Siddiqui, et al.
Energy Geoscience (2024) Vol. 5, Iss. 4, pp. 100338-100338
Open Access | Times Cited: 7
Prediction of minimum miscibility pressure (MMP) of the crude oil-CO2 systems within a unified and consistent machine learning framework
Can Huang, Leng Tian, Jianbang Wu, et al.
Fuel (2022) Vol. 337, pp. 127194-127194
Closed Access | Times Cited: 26
TOC prediction using a gradient boosting decision tree method: A case study of shale reservoirs in Qinshui Basin
Haoyu Zhang, Wensheng Wu, Hao Wu
Geoenergy Science and Engineering (2022) Vol. 221, pp. 111271-111271
Closed Access | Times Cited: 25
Inception–Attention–BiLSTM Hybrid Network: A Novel Approach for Shear Wave Velocity Prediction Utilizing Well Logging
Jiayi Li, Yaoting Lin, Zhixian Gui, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2345-2345
Open Access
Reliability-Based Load and Resistance Factor Design of an Energy Pile with CPT Data Using Machine Learning Techniques
Pramod Kumar, Pijush Samui
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 4831-4860
Closed Access | Times Cited: 12
Shear wave velocity prediction based on deep neural network and theoretical rock physics modeling
Gang Feng, Hua‐Hui Zeng, Xing‐Rong Xu, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 11
Exploring Shear Waves Predictions in Heterogeneous Reservoirs Using Multi-machine Learning Models Based on Conventional Wireline Logs: A Case Study from the Nubian Reservoir, Sirt Basin, Libya
Mohammed A. Amir, Hamzah S. Amir
Arabian Journal for Science and Engineering (2025)
Closed Access
A Novel Method of Deep Learning for Shear Velocity Prediction in a Tight Sandstone Reservoir
Ren Jiang, Zhifeng Ji, Wuling Mo, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 7016-7016
Open Access | Times Cited: 16
A hybrid CNN-LSTM machine learning model for rock mechanical parameters evaluation
Yating Hu, Qiong Zhang
Geoenergy Science and Engineering (2023) Vol. 225, pp. 211720-211720
Closed Access | Times Cited: 9
A comprehensive review of seismic inversion based on neural networks
Ming Li, Xuesong Yan, Mingzhao Zhang
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 2991-3021
Closed Access | Times Cited: 9
Application of machine and deep learning techniques to estimate NMR-derived permeability from conventional well logs and artificial 2D feature maps
Milad Masroor, Mohammad Emami Niri, Amir Hossein Rajabi-Ghozloo, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 12, Iss. 11, pp. 2937-2953
Open Access | Times Cited: 14
Missing Sonic Logs Generation for Gas Hydrate-Bearing Sediments via Hybrid Networks Combining Deep Learning With Rock Physics Modeling
Zikun Li, Jialong Xia, Zhichao Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 8
Machine learning models to estimate stress wave velocities of cohesionless soils during triaxial compression influenced by particle characteristics
Amir Tophel, Troyee Tanu Dutta, M. Otsubo, et al.
Soil Dynamics and Earthquake Engineering (2022) Vol. 165, pp. 107649-107649
Closed Access | Times Cited: 11
A novel directional-oriented method for predicting shear wave velocity through empirical rock physics relationship using geostatistics analysis
Esmael Makarian, Maryam Mirhashemi, Ayub Elyasi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Exploring Shear Wave Velocity—NSPT Correlations for Geotechnical Site Characterization: A Review
Hasan Ali Abbas, Duaa Al-Jeznawi, Musab Aied Qissab Al‐Janabi, et al.
CivilEng (2024) Vol. 5, Iss. 1, pp. 119-135
Open Access | Times Cited: 1
Shear wave velocity prediction based on 1DCNN-BiLSTM network with attention mechanism
Gang Feng, Wenqing Liu, Zhe Yang, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 1
An efficient method of predicting S-wave velocity using sparse Gaussian process regression for a tight sandstone reservoir
Yi Dang, Yijie Zhang, Baohai Wu, et al.
Journal of Applied Geophysics (2024) Vol. 229, pp. 105480-105480
Closed Access | Times Cited: 1
Identification of Diagenetic Facies Logging of Tight Oil Reservoirs Based on Deep Learning—A Case Study in the Permian Lucaogou Formation of the Jimsar Sag, Junggar Basin
Ming Qi, Changcheng Han, Cunfei Ma, et al.
Minerals (2022) Vol. 12, Iss. 7, pp. 913-913
Open Access | Times Cited: 6
P-wave prediction method under multi-source spatiotemporal feature fusion and physics-informed neural network
Jie Zheng, Kai Xie, Chang Wen, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211515-211515
Closed Access | Times Cited: 3
Output Linearization of Single-Input Single-Output Fuzzy System to Improve Accuracy and Performance
Salah-ud-din Khokhar, Qinke Peng, Muhammad Yasir Noor
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 2413-2427
Open Access | Times Cited: 3
Rock-physics-guided machine learning for shear sonic log prediction
Luanxiao Zhao, Jingyu Liu, Minghui Xu, et al.
Geophysics (2023) Vol. 89, Iss. 1, pp. D75-D87
Closed Access | Times Cited: 3
Convolutional neural network long short-term memory deep learning model for sonic well log generation for brittleness evaluation
Fengjiao Zhang, Shaogui Deng, Shengli Wang, et al.
Interpretation (2022) Vol. 10, Iss. 2, pp. T367-T378
Closed Access | Times Cited: 5
Shear-Wave Velocity Prediction Method via a Gate Recurrent Unit Fusion Network Based on the Spatiotemporal Attention Mechanism
Tengfei Chen, Gang Gao, Yonggen Li, et al.
Lithosphere (2022) Vol. 2022, Iss. Special 12
Open Access | Times Cited: 5
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