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:

Rate of penetration modeling using hybridization extreme learning machine and whale optimization algorithm
Mohamed Riad Youcefi, Ahmed Hadjadj, Abdelhak Bentriou, et al.
Earth Science Informatics (2020) Vol. 13, Iss. 4, pp. 1351-1368
Closed Access | Times Cited: 21

Showing 21 citing articles:

Enhancing the drilling efficiency through the application of machine learning and optimization algorithm
Farouk Said Boukredera, Mohamed Riad Youcefi, Ahmed Hadjadj, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107035-107035
Open Access | Times Cited: 19
Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks
Menad Nait Amar, Hocine Ouaer, Mohammed Abdelfetah Ghriga
Fuel (2021) Vol. 311, pp. 122545-122545
Closed Access | Times Cited: 31
Optimizing tunnel boring machine penetration rate prediction using gene expression programming and whale optimization algorithms
Shirin Jahanmiri, Majid Noorian-Bidgoli, Ali Dallaki
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access
Maximizing Drilling Efficiency in Deviated Wells Using AI Based ROP Optimization
Mahdi Karnot, M. A. Abu Talib, Ethar H. K. Alkamil, et al.
International Petroleum Technology Conference (2025)
Closed Access
An efficient super learner model for predicting wettability of the hydrogen/mineral/brine system: Implication for hydrogen geo-storage
Menad Nait Amar, Mohamed Riad Youcefi, Fahd Mohamad Alqahtani, et al.
International Journal of Hydrogen Energy (2025) Vol. 124, pp. 47-58
Closed Access
A systematic review of machine learning modeling processes and applications in ROP prediction in the past decade
Qian Li, Junping Li, Lan-Lan Xie
Petroleum Science (2024) Vol. 21, Iss. 5, pp. 3496-3516
Open Access | Times Cited: 3
A Survey on the Shortcomings of the Current Rate of Penetration Predictive Models in Petroleum Engineering
Mitra Khalilidermani, Dariusz Knez
Energies (2023) Vol. 16, Iss. 11, pp. 4289-4289
Open Access | Times Cited: 8
Prediction and analysis of penetration rate in drilling operation using deterministic and metaheuristic optimization methods
Ibrahim Sobhi, Abdelmadjid Dobbi, Oussama Hachana
Journal of Petroleum Exploration and Production Technology (2021) Vol. 12, Iss. 5, pp. 1341-1352
Open Access | Times Cited: 17
New model for standpipe pressure prediction while drilling using Group Method of Data Handling
Mohamed Riad Youcefi, Ahmed Hadjadj, Farouk Said Boukredera
Petroleum (2021) Vol. 8, Iss. 2, pp. 210-218
Open Access | Times Cited: 13
Application of artificial intelligence techniques for predicting the flyrock, Sungun mine, Iran
Jamshid Shakeri, Marc Bascompta, Mohammadreza Alimoradijazi, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 8
Closed Access | Times Cited: 5
An interpretable and explainable deep learning model for predicting hydrogen solubility in diverse chemicals
Mohamed Riad Youcefi, Fahd Mohamad Alqahtani, Menad Nait Amar, et al.
Chemical Engineering Science (2024), pp. 121048-121048
Closed Access | Times Cited: 1
Drill String Torsional Vibrations Modeling With Dynamic Drill Pipe Properties Measurement and Field Validation
Farouk Said Boukredera, Ahmed Hadjadj, Mohamed Riad Youcefi
Journal of Energy Resources Technology (2021) Vol. 144, Iss. 2
Closed Access | Times Cited: 9
Local Neighbourhood Edge Responsive Image Descriptor for Texture Classification Using Gaussian Mutated JAYA Optimization Algorithm
G. Annalakshmi, S. Sakthivel Murugan
Arabian Journal for Science and Engineering (2021) Vol. 46, Iss. 9, pp. 8151-8170
Closed Access | Times Cited: 5
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
Predicting rate of penetration (ROP) based on a deep learning approach: A case study of an enhanced geothermal system in Pohang, South Korea
Wanhyuk Seo, Gyung Won Lee, Kwang Yeom Kim, et al.
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 813-824
Closed Access | Times Cited: 1
An online drilling rate of penetration (ROP) optimization method
Tuo Wang, Chao Gan, Weihua Cao
2022 41st Chinese Control Conference (CCC) (2022), pp. 1997-2002
Closed Access | Times Cited: 2
Real-Time Prediction of Plastic Viscosity and Apparent Viscosity for Oil-Based Drilling Fluids Using a Committee Machine with Intelligent Systems
Mohamed Riad Youcefi, Ahmed Hadjadj, Abdelak Bentriou, et al.
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 9, pp. 11145-11158
Closed Access | Times Cited: 1
Drill bit deterioration estimation with the Random Forest Regressor
Mateusz Góralczyk, Anna Michalak, Paweł Śliwiński
IOP Conference Series Earth and Environmental Science (2021) Vol. 942, Iss. 1, pp. 012013-012013
Open Access | Times Cited: 1
New automated drilling controller for drill string vibrations mitigation and rate of penetration optimization using a fuzzy logic system.
Farouk Said Boukredera, Mohamed Riad Youcefi, Ahmed Hadjadj
Research Square (Research Square) (2023)
Open Access
Optimizing the gene expression algorithm using the whale algorithm to predict the penetration rate of the tunnel boring machine
Majid Noorian-Bidgoli
Research Square (Research Square) (2023)
Open Access
Collaborative Filtering Algorithm based on Hybrid Machine Learning Optimization
Shengwei Qiu
Machine Learning Theory and Practice (2020) Vol. 1, Iss. 2
Open Access
Page 1

Scroll to top