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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:

Modelling rate of penetration in drilling operations using RBF, MLP, LSSVM, and DT models
M.R. Riazi, Hossein Mehrjoo, Reza Nakhaei, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25

Showing 25 citing articles:

Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage
Hemeng Zhang, Hung Vo Thanh, Mohammad Rahimi, et al.
The Science of The Total Environment (2023) Vol. 877, pp. 162944-162944
Closed Access | Times Cited: 45
Hybrid physics-machine learning models for predicting rate of penetration in the Halahatang oil field, Tarim Basin
Shengjie Jiao, Wei Li, Zhuolun Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Short-term electric vehicle charging demand prediction: A deep learning approach
Shengyou Wang, Chengxiang Zhuge, Chunfu Shao, et al.
Applied Energy (2023) Vol. 340, pp. 121032-121032
Closed Access | Times Cited: 39
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123944-123944
Closed Access | Times Cited: 11
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
A comparative analysis of alpha olefin sulfonate and dodecyl sulfate in aphronic fluid containing xanthan gum in a wide range of temperatures
M.R. Riazi, Abdolhossein Hemmati‐Sarapardeh, Mahin Schaffie, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis
Bo Liu, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.
Energy (2023) Vol. 282, pp. 128799-128799
Closed Access | Times Cited: 20
PREDICTION OF RATE OF PENETRATION (ROP) IN PETROLEUM DRILLING OPERATIONS USING OPTIMIZATION ALGORITHMS
Arash Ebrahimabadi, Alireza Afradi
Rudarsko-geološko-naftni zbornik (2024) Vol. 39, Iss. 3, pp. 119-130
Open Access | Times Cited: 7
Plastic-Optical-Fiber-Enabled Smart Glove for Machine-Learning-Based Gesture Recognition
Jie Li, Bin Liu, Yingying Hu, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 4, pp. 4252-4261
Closed Access | Times Cited: 13
Prediction rotary drilling penetration rate in lateritic soils using machine learning models
Eugène Gatchouessi Kamdem, Franck Ferry Kamgue Tiam, Luc Leroy Mambou Ngueyep, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation
Hossein Yavari, Mohammad Fazaelizadeh, Bernt S. Aadnøy, et al.
Results in Engineering (2023) Vol. 20, pp. 101548-101548
Open Access | Times Cited: 9
Research on adaptive feature optimization and drilling rate prediction based on real-time data
Jun Ren, Jie Jiang, Changchun Zhou, et al.
Geoenergy Science and Engineering (2024) Vol. 242, pp. 213247-213247
Closed Access | Times Cited: 3
Short-term PV power prediction based on VMD-CNN-IPSO-LSSVM hybrid model
Jianjian Jiang, Shizhao Hu, Liang Xu, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 1160-1167
Open Access | Times Cited: 2
The Impact of Data Splitting Strategy on Drilling Rate Prediction in the Rumaila Oil Field
Ameen Salih, Ali Khaleel Faraj, Mohammed A. Ahmed, et al.
Petroleum Chemistry (2024)
Closed Access | Times Cited: 1
An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation
Mohammad Saleh Jamshidi Gohari, Mohammad Emami Niri, Saeid Sadeghnejad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Penetration Rate Prediction Utilizing Machine Learning Technique for Rumaila Oilfield, Southern of Iraq.
Ameen Salih, Ali Khaleel Faraj, Hassan Abdul Hadi Abdul Hussein, et al.
Deleted Journal (2023) Vol. 3, Iss. 2, pp. 19-31
Open Access | Times Cited: 2
A Method of Optimizing Cell Voltage Based on STA-LSSVM Model
Chenhua Xu, Zhicheng Tu, Wenjie Zhang, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4710-4710
Open Access | Times Cited: 3
Modeling rate of penetration using hybridization of Artificial Neural Network and Artificial Fish Swarm algorithm
Said Hallai, Abdelmadjid Dobbi, Rabah Kechiched
Petroleum Science and Technology (2024), pp. 1-20
Closed Access
Rock mass classification for estimating the drilling rate in a surface mine using rock mass drillability index
Subhamoy Ghosh, Chandrakanta Behera, Manoj Kumar Mishra
Petroleum Science and Technology (2024), pp. 1-21
Closed Access
Rate of Penetration Prediction using Batch Normalized Deep Elman Neural Network
Abhay Dutt Paroha
(2024), pp. 34-40
Closed Access
Geomechanical methods for pore pressure prediction in complex geological structures: a case study of a field in southwest of Iran
Amin Ahmadi, Mohsen Saemi, Alireza Shahnazi, et al.
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 10
Closed Access
Machine-Learning Predictive Model for Semiautomated Monitoring of Solid Content in Water-Based Drilling Fluids
Shadfar Davoodi, Sergey V. Muravyov, David A. Wood, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access
METHODOLOGY FOR OPTIMIZING DRILL BIT PERFORMANCE
Олександр Пащенко, Boranbay Ratov, Volodymyr Khomenko, et al.
International Multidisciplinary Scientific GeoConference SGEM ... (2024) Vol. 24, pp. 623-632
Closed Access
Enhancing Rock Drilling Efficiency: A Comparative Analysis of DRI Estimation Models Using the RES Approach
Hadi Fattahi, Hossein Ghaedi
Indian geotechnical journal (2023) Vol. 54, Iss. 4, pp. 1438-1452
Closed Access | Times Cited: 1
Modelling and Simulating Eulerian Venturi Effect of SBM to Increase the Rate of Penetration with Roller Cone Drilling Bit
Dennis Delali Kwesi Wayo, Sonny Irawan, Alfrendo Satyanaga, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4185-4185
Open Access
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