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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 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

Showing 1-25 of 28 citing articles:

Predictive modeling of reservoir geomechanical parameters through computational intelligence approach, integrating core and well logging data
Sayed Muhammad Iqbal, Jianmin Li, Junxiu Ma, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
A Novel Hybrid Bayesian-Group-Based Machine Learning (HB-GML) Method for Predicting Uniaxial Compressive Strength (UCS) of Rock
Shenghao Piao, Sheng Huang, Yingjie Wei, et al.
Rock Mechanics and Rock Engineering (2025)
Closed Access | Times Cited: 1
Regression models to estimate total organic carbon (TOC) from well-log data
David A. Wood
Elsevier eBooks (2025), pp. 43-77
Closed Access | Times Cited: 1
Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties
Md Shayan Sabri, Amit Jaiswal, A. K. Verma, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5265-5286
Closed Access | Times Cited: 5
A Review of AI Applications in Unconventional Oil and Gas Exploration and Development
Feiyu Chen, Linghui Sun, Siyu Jian, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 391-391
Open 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
Comparison of machine learning models for rock UCS prediction using measurement while drilling data
Yachen Xie, Xianrui Li, Min Zhao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
A robust hybrid near-real-time model for prediction of drilling fluids filtration
Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, et al.
Engineering With Computers (2025)
Closed Access
Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements
Shadfar Davoodi, Mohammed Ba Geri, David A. Wood, et al.
Petroleum (2025)
Open Access
Comprehensive Prediction of Regional Natural Gas Hydrate Resources Based on Volume Method Evaluation
Dongxun Jiang, Zhaocheng Li
Sustainability (2025) Vol. 17, Iss. 5, pp. 2287-2287
Open Access
Extracting useful information from sparsely logged wellbores for improved rock typing of heterogeneous reservoir characterization using well-log attributes, feature influence and optimization
David A. Wood
Petroleum Science (2025)
Open Access
Utilization of nano clay in the formulation of water based completion fluid for hydrocarbon containing reservoirs
S. K. Nayak, Rajat Jain, Deepak Amban Mishra, et al.
Petroleum Science and Technology (2025), pp. 1-27
Closed Access
Detection methods for strength deterioration and structural characteristics of fractured rock based on digital drilling
Hongke Gao, Bei Jiang, Fenglin Ma, et al.
Measurement (2024) Vol. 233, pp. 114779-114779
Closed Access | Times Cited: 3
A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure
Shubhendu Vikram Singh, Sufyan Ghani
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 3
Combined Deep Learning and Optimization for Hydrogen-Solubility Prediction in Aqueous Systems Appropriate for Underground Hydrogen Storage Reservoirs
Promise O. Longe, Shadfar Davoodi, Mohammad Mehrad, et al.
Energy & Fuels (2024) Vol. 38, Iss. 22, pp. 22031-22049
Closed Access | Times Cited: 3
Reservoir temperature prediction based on characterization of water chemistry data—case study of western Anatolia, Turkey
Haoxin Shi, Yanjun Zhang, Ziwang Yu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Predicting Rock Unconfined Compressive Strength Based on Tunnel Face Boreholes Measurement-While-Drilling Data
Xuepeng Ling, Mingnian Wang, Wenhao Yi, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 12, pp. 5946-5962
Closed Access | Times Cited: 2
A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 2
Research on Adaptive Feature Optimization and Drilling Rate Prediction Based on Real-Time Data
Jun Ren, Jie Jiang, Changchun Zhou, et al.
(2024)
Closed 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
Wellbore stability and the establishment of a safe mud weight window
David A. Wood
Elsevier eBooks (2024), pp. 135-168
Closed Access
Influence of coupling and properties of encapsulating mortars on the anchoring capacity of rock bolts
Emiliano Mauro Giraldo Paredez, A Sotomayor, Teófilo Allende, et al.
International Journal of Rock Mechanics and Mining Sciences (2024) Vol. 178, pp. 105783-105783
Open Access
The State-of-the-Art Review on the Drill Pipe Vibration
Jinze Song, Shuai Liu, Yufa He, et al.
Geoenergy Science and Engineering (2024), pp. 213337-213337
Closed Access
Prediction of Floor Failure Depth Based on Dividing Deep and Shallow Mining for Risk Assessment of Mine Water Inrush
Weitao Liu, Mengke Han, Jiyuan Zhao
Water (2024) Vol. 16, Iss. 19, pp. 2786-2786
Open Access
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