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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:

Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
Meysam Rajabi, Omid Hazbeh, Shadfar Davoodi, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 13, Iss. 1, pp. 19-42
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Prediction of Air Quality Index Using Machine Learning Techniques: A Comparative Analysis
Nitish Gupta, Yashvi Mohta, Khyati Heda, et al.
Journal of Environmental and Public Health (2023) Vol. 2023, pp. 1-26
Open Access | Times Cited: 71
Interpreting XGBoost predictions for shear-wave velocity using SHAP: Insights into gas hydrate morphology and saturation
Junzhao Chen, Jiachun You, Junting Wei, et al.
Fuel (2024) Vol. 364, pp. 131145-131145
Closed Access | Times Cited: 12
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 10
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: 9
Geological characteristics of coal mines in the Zagros Basin of Iran: Unveiling rock mechanical properties and time-dependent behavior
Alireza Khoshmagham, Navid Hosseini, Reza Shirinabadi, et al.
Energy Geoscience (2024), pp. 100361-100361
Open Access | Times Cited: 9
Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield
Guibin Zhao, Fateh Bouchaala, Mohamed Soufiane Jouini, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0311561-e0311561
Open Access | Times Cited: 1
Using machine learning methods for prediction of drilling rate: case of water drilling operations in gneiss rock
Gatchouessi Kamdem Eugène, Kamgue Tiam Franck Ferry, Mambou Ngueyep Luc Leroy, et al.
Geosystem Engineering (2025), pp. 1-25
Closed Access | Times Cited: 1
Shear Wave Velocity Prediction with Hyperparameter Optimization
Gebrai̇l Bekdaş, Yaren Aydın, Ümit Işıkdağ, et al.
Information (2025) Vol. 16, Iss. 1, pp. 60-60
Open Access | Times Cited: 1
Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
Mohammad Reza Soleimanfar, Reza Shirinabadi, Navid Hosseini, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access | Times Cited: 1
Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications
Sungil Kim, Tea-Woo Kim, Suryeom Jo
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 2
Open Access | Times Cited: 1
Data-driven strategy for contact angle prediction in underground hydrogen storage using machine learning
Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115908-115908
Open Access | Times Cited: 1
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 | Times Cited: 1
Hydrocarbon Potential Assessment of Carbonate-Bearing Sediments in a Meyal Oil Field, Pakistan: Insights from Logging Data Using Machine Learning and Quanti Elan Modeling
Jawad Ali, Umar Ashraf, Aqsa Anees, et al.
ACS Omega (2022) Vol. 7, Iss. 43, pp. 39375-39395
Open Access | Times Cited: 30
Advanced machine learning-based modeling of interfacial tension in the crude oil-brine-diethyl ether system: Insights into the effects of temperature and salinity
Amir Mohammadi Khanghah, Mahsa Parhizgar Keradeh, Alireza Keshavarz, et al.
Journal of Molecular Liquids (2024) Vol. 404, pp. 124861-124861
Closed Access | Times Cited: 7
Determination and investigation of shear wave velocity based on one deep/machine learning technique
Omid Hazbeh, Meysam Rajabi, Somayeh Tabasi, et al.
Alexandria Engineering Journal (2024) Vol. 92, pp. 358-369
Open Access | Times Cited: 6
Leveraging Automated Deep Learning (AutoDL) in Geosciences
Nandito Davy, Umair bin Waheed, Ardiansyah Koeshidayatullah, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105600-105600
Closed Access | Times Cited: 6
Three-dimensional shear wave velocity prediction by integrating post-stack seismic attributes and well logs: application on Asmari formation in Iran
Ahsan Leisi, Navid Shad Manaman
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 8-9, pp. 2399-2411
Open Access | Times Cited: 6
Reservoir rock typing for optimum permeability prediction of Nubia formation in October Field, Gulf of Suez, Egypt
Mohamed A. Kassab, Ali Abbas, Ihab Abdel Latif Osman, et al.
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 6, pp. 1395-1416
Open Access | Times Cited: 5
Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests
Zohreh Mousavi, Meysam Bayat, Jun Yang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 183, pp. 108805-108805
Closed Access | Times Cited: 5
Improved determination of the S-wave velocity of rocks in dry and saturated conditions: Application of machine-learning algorithms
Mohammad Rezaei, Seyedeh Rahele Ahmadi, Hoang Nguyen, et al.
Transportation Geotechnics (2024), pp. 101371-101371
Closed Access | Times Cited: 5
A novel ensemble machine learning model to predict mine blasting–induced rock fragmentation
Mojtaba Yari, Biao He, Danial Jahed Armaghani, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 5
Closed Access | Times Cited: 12
Prediction of fracture density in a gas reservoir using robust computational approaches
Guozhong Gao, Omid Hazbeh, Shadfar Davoodi, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 11
Predictive Models of Deep Shear Wave Velocity Profiles at Excavated Rock Sites in Korea
H.S. Kim, Byungmin Kim, Youngkyu Cho
Journal of the Earthquake Engineering Society of Korea (2025) Vol. 29, Iss. 1, pp. 41-47
Closed Access
Intelligent characterization of ultra-deep carbonate strike-slip fault zones based on 3DResNeSt-UNet: a case study of the YueMan Block in the Tarim Basin
Jin Hu, Shouyu Xu
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 1
Open Access
Predicting Dynamic-to-Static Correction Factor from Petrophysical Data and Chemostratigraphy using Unsupervised Machine Learning
S. M. Kholy, Jim Puckette, Hunjoo P. Lee
SPE Journal (2025), pp. 1-12
Closed Access
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