Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Assessment of Big Data Analytics Based Ensemble Estimator Module for the Real-Time Prediction of Reservoir Recovery Factor
Saurabh Tewari, U. D. Dwivedi, Mohammad Shiblee
SPE Middle East Oil and Gas Show and Conference (2019)
Closed Access | Times Cited: 13

Showing 13 citing articles:

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
A comparative study of heterogeneous ensemble methods for the identification of geological lithofacies
Saurabh Tewari, U. D. Dwivedi
Journal of Petroleum Exploration and Production Technology (2020) Vol. 10, Iss. 5, pp. 1849-1868
Open Access | Times Cited: 54
An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity
Theddeus T. Akano, Chinemerem C. James
Beni-Suef University Journal of Basic and Applied Sciences (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 18
Feature Selection Based on Grey Wolf Optimizer for Oil & Gas Reservoir Classification
Qasem Al-Tashi, Helmi Md Rais, Said Jadid Abdulkadir, et al.
(2020), pp. 211-216
Closed Access | Times Cited: 23
Classification of Reservoir Recovery Factor for Oil and Gas Reservoirs: A Multi-Objective Feature Selection Approach
Qasem Al-Tashi, Emelia Akashah Patah Akhir, Said Jadid Abdulkadir, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 8, pp. 888-888
Open Access | Times Cited: 9
Prediction of Gas Viscosity of Yemeni Gas Fields Using Machine Learning Techniques
Salman Sadeg Deumah, Wahib Yahya, Abbas Mohamed Al-Khudafi, et al.
(2021)
Closed Access | Times Cited: 6
Integrated Hierarchy–Correlation Model for Evaluating Water-Driven Oil Reservoirs
Xiaolong Chai, Leng Tian, Ge Wang, et al.
ACS Omega (2021) Vol. 6, Iss. 50, pp. 34460-34469
Open Access | Times Cited: 6
Smart reservoir management in the oil and gas industry
David Castiñeira, Hamed Darabi, Xiang Zhai, et al.
Smart Manufacturing (2020), pp. 107-141
Closed Access | Times Cited: 4
Improving Subsurface Characterisation with ‘Big Data’ Mining and Machine Learning
Rachel Brackenridge, Vasily Demyanov, Oleg Vashutin, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 1070-1070
Open Access | Times Cited: 3
Applicability of Anomaly Detection Knowledge from Computer Science and Mathematics Publications to Oil and Gas Research
Boris Chigarev
Energy Systems Research (2024) Vol. 7, Iss. 1(25), pp. 17-30
Open Access
Analyzing the Transferability of Anomaly Detection Knowledge from Computer Science and Mathematics Publications to the Field of Oil and Gas Research
Boris Chigarev
(2023)
Open Access | Times Cited: 1
An Optimized Recurrent Neural Network for Metocean Forecasting
Alawi Alqushaibi, Said Jadid Abdulkadir, Helmi Md Rais, et al.
(2020), pp. 190-195
Closed Access | Times Cited: 2
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Page 1

Scroll to top