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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:

Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms
Mohammad Mehrad, Ahmad Ramezanzadeh, Mahdi Bajolvand, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 212, pp. 110254-110254
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106459-106459
Closed Access | Times Cited: 34
Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105546-105546
Closed Access | Times Cited: 28
Robust estimation of shear wave velocity in a carbonate oil reservoir from conventional well logging data using machine learning algorithms
Hossein Kheirollahi, Navid Shad Manaman, Ahsan Leisi
Journal of Applied Geophysics (2023) Vol. 211, pp. 104971-104971
Closed Access | Times Cited: 16
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
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Journal of Industrial Information Integration (2024) Vol. 41, pp. 100662-100662
Closed Access | Times Cited: 6
An integrated comprehensive approach describing structural features and comparative petrophysical analysis between conventional and machine learning tools to characterize carbonate reservoir: A case study from Upper Indus Basin, Pakistan
Zohaib Naseer, Urooj Shakir, Muyyassar Hussain, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103885-103885
Closed Access
Concatenating data-driven and reduced-physics models for smart production forecasting
Oscar I.O. Ogali, Oyinkepreye D. Orodu
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
New insights into permeability determination by coupling Stoneley wave propagation and conventional petrophysical logs in carbonate oil reservoirs
Alireza Rostami, Ali Kordavani, Shahin Parchekhari, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms
Amirhossein Sheykhinasab, Amir Ali Mohseni, Arash Barahooie Bahari, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 13, Iss. 2, pp. 661-689
Open Access | Times Cited: 22
Shear Wave Velocity Prediction Based on the Long Short-Term Memory Network with Attention Mechanism
Xingan Fu, Youhua Wei, Yun Su, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2489-2489
Open Access | Times Cited: 4
Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data
Milad Zamanzadeh Talkhouncheh, Shadfar Davoodi, David A. Wood, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 9, pp. 6881-6907
Closed Access | Times Cited: 4
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: 4
Evaluating the effectiveness of ensemble machine learning approaches for pore pressure prediction using petrophysical log data in carbonate reservoir
Pydiraju Yalamanchi, Saurabh Datta Gupta, Rajeev Upadhyay
Acta Geophysica (2025)
Closed Access
Developing a New Model for Drilling Rate of Penetration Prediction Using Convolutional Neural Network
Morteza Matinkia, Amirhossein Sheykhinasab, Soroush Shojaei, et al.
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 9, pp. 11953-11985
Closed Access | Times Cited: 20
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: 3
A new robust predictive model for lost circulation rate using convolutional neural network: A case study from Marun Oilfield
Farshad Jafarizadeh, Babak Larki, Bamdad Kazemi, et al.
Petroleum (2022) Vol. 9, Iss. 3, pp. 468-485
Open Access | Times Cited: 18
Seismic rock-physics linearized inversion for reservoir-property and pore-type parameters with application to carbonate reservoirs
Qiang Guo, Jing Ba, Cong Luo
Geoenergy Science and Engineering (2023) Vol. 224, pp. 211640-211640
Closed Access | Times Cited: 9
A Fully-Self-Adaptive Harmony Search GMDH-Type Neural Network Algorithm to Estimate Shear-Wave Velocity in Porous Media
Ahmad Taheri, Esmael Makarian, Navid Shad Manaman, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6339-6339
Open Access | Times Cited: 12
Estimation of geomechanical rock characteristics from specific energy data using combination of wavelet transform with ANFIS-PSO algorithm
Mohammad Mohammadi Behboud, Ahmad Ramezanzadeh, Behzad Tokhmechi, et al.
Journal of Petroleum Exploration and Production Technology (2023) Vol. 13, Iss. 8, pp. 1715-1740
Open Access | Times Cited: 7
Petrophysical Analysis Based on Well Logging Data for Tight Carbonate Reservoir: The SADI Formation Case in Halfaya Oil Field
Safiyya A. Jassam, Omar Al-Fatlawi, Celal Hakan Canbaz
Iraqi Journal of Chemical and Petroleum Engineering (2023) Vol. 24, Iss. 3, pp. 55-68
Open Access | Times Cited: 7
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
Prediction of Rock's Brittleness and Dynamic Properties Utilizing Effective Artificial Intelligence Approaches
Yonggang Xie, Lili Wang, Yonghong Gu, et al.
Periodica Polytechnica Civil Engineering (2024)
Open Access | Times Cited: 1
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms
Milad Zamanzadeh Talkhouncheh, Shadfar Davoodi, Babak Larki, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3387-3416
Closed Access | Times Cited: 3
Prediction of Oil Reservoir Porosity Using Petrophysical Data and a New Intelligent Hybrid Method
Hosnie Nazari, Farnusch Hajizadeh
Pure and Applied Geophysics (2023) Vol. 180, Iss. 12, pp. 4261-4274
Closed Access | Times Cited: 3
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