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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:

A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry
Saurabh Tewari, U. D. Dwivedi, Susham Biswas
Energies (2021) Vol. 14, Iss. 2, pp. 432-432
Open Access | Times Cited: 16

Showing 16 citing articles:

A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data
Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, et al.
IEEE Access (2021) Vol. 9, pp. 109960-109975
Open Access | Times Cited: 202
Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Rachna Vaish, U. D. Dwivedi, Saurabh Tewari, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 106, pp. 104504-104504
Closed Access | Times Cited: 103
Predictive modeling of drilling rate index using machine learning approaches: LSTM, simple RNN, and RFA
Niaz Muhammad Shahani, Muhammad Kamran, Xigui Zheng, et al.
Petroleum Science and Technology (2022) Vol. 40, Iss. 5, pp. 534-555
Closed Access | Times Cited: 48
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 Review of Predictive Analytics Models in the Oil and Gas Industries
Putri Azmira R Azmi, Marina Yusoff, Mohamad Taufik Mohd Sallehud-din
Sensors (2024) Vol. 24, Iss. 12, pp. 4013-4013
Open Access | Times Cited: 6
Hybrid machine learning approach for accurate prediction of the drilling rock index
Niaz Muhammad Shahani, Xigui Zheng, Xin Wei, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters
Seyed Vahid Alavi Nezhad Khalil Abad, Omid Hazbeh, Meysam Rajabi, et al.
ACS Omega (2023) Vol. 8, Iss. 49, pp. 46390-46398
Open Access | Times Cited: 8
Intelligent Drilling of Oil and Gas Wells Using Response Surface Methodology and Artificial Bee Colony
Saurabh Tewari, U. D. Dwivedi, Susham Biswas
Sustainability (2021) Vol. 13, Iss. 4, pp. 1664-1664
Open Access | Times Cited: 17
Predictive Analytics Performance on Oil and Gas: A Significant Review
Putri Azmira R Azmi, Marina Yusoff, Mohamad Taufik Mohd Salledud-din
(2024)
Open Access | Times Cited: 1
A supervised machine learning model to select a cost-effective directional drilling tool
Muhammad Nour, Said K. Elsayed, Omar Mahmoud
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model
Zhiyuan Chen, Olugbenro. O. Selere, Nicholas Lu Chee Seng
Lecture notes in electrical engineering (2023), pp. 569-581
Closed Access | Times Cited: 3
Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Kamaluddeen Usman Danyaro, Haizatul Hafizah Hussain, Mujaheed Abdullahi, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5690-5690
Open Access | Times Cited: 4
Semi-supervised method for tunnel blasting quality prediction using measurement while drilling data
Hengxiang Jin, Qian Fang, Jun Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access
Intelligent optimization of drill bits by combining multi-source data fusion and deep neural networks
Youwei Wan, Xiangjun Liu, Jian Xiong, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2022), pp. 1-19
Closed Access | Times Cited: 2
Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches
Rahul Talreja, Thomas Coombs, Sulaf Assi, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 388-402
Closed Access
Application of Machine-Learning Algorithms in Outlier Detection in Well Logs
Rahul Talreja, Asif Iqbal Khan
Research Square (Research Square) (2022)
Open Access
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