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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 formation-based approach for modeling of rate of penetration for an offshore gas field using artificial neural networks
Danial Etesami, Wenjun Zhang, Mohsen Hadian
Journal of Natural Gas Science and Engineering (2021) Vol. 95, pp. 104104-104104
Closed Access | Times Cited: 16

Showing 16 citing articles:

A novel noise-robust method for efficient online data decomposition
Yiguo Yang, Shuai Li, Pin Chieh Wu, et al.
International Journal of Systems Science (2025), pp. 1-20
Closed Access
Exploration of Training Strategies for a Quantile Regression Deep Neural Network the Penetration of the for Rate of Prediction in a Multi-Lateral Well
Adrian Ambrus, Felix James Pacis, Sergey Alyaev, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1553-1553
Open Access
Real-time forging process control: integrating billet-related surrogate and machine behavior models
David Uribe, Camille Durand, Cyrille Baudouin, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Prediction of rate of penetration in directional drilling using data mining techniques
Kaveh Shaygan, Saeid Jamshidi
Geoenergy Science and Engineering (2022) Vol. 221, pp. 111293-111293
Closed Access | Times Cited: 15
Multi-source information fusion-based dynamic model for online prediction of rate of penetration (ROP) in drilling process
Chao Gan, Xiang Wang, Lu-Zhao Wang, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212187-212187
Closed Access | Times Cited: 7
Automated neural network optimization for data-driven predictive models: an application to ROP in drilling
Imene Khebouri, Saïd Rechak, Ihab Abderraouf Boulham, et al.
Soft Computing (2024)
Closed Access | Times Cited: 2
Analysis of rate of penetration prediction in drilling using data-driven models based on weight on hook measurement
Abbas Hashemizadeh, Ehsan Bahonar, Mohammad Chahardowli, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2133-2153
Closed Access | Times Cited: 9
Actor-critic reinforcement learning leads decision-making in energy systems optimization—steam injection optimization
Ramez Abdalla, W. Hollstein, Carlos Paz Carvajal, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 22, pp. 16633-16647
Open Access | Times Cited: 5
Intelligent Prediction of Drilling Rate of Penetration Based on Method-Data Dual Validity Analysis
Youwei Wan, Xiangjun Liu, Jian Xiong, et al.
SPE Journal (2023) Vol. 29, Iss. 05, pp. 2257-2274
Closed Access | Times Cited: 4
Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning
Shiori Gondo, Hirohiko Arai
Journal of Intelligent Manufacturing (2022) Vol. 33, Iss. 2, pp. 617-635
Open Access | Times Cited: 6
The linearization method for transient gas flows in pipeline systems revisited: Capabilities and limitations of the modelling approach
Zahreddine Hafsi, Ali Ekhtiari, Lazhar Ayed, et al.
Journal of Natural Gas Science and Engineering (2022) Vol. 101, pp. 104494-104494
Closed Access | Times Cited: 6
Multiscale data fusion reservoir modeling: The case study of the E3h formation, A gas field, X sag (East China Sea)
Mengjiao Dou, Shaohua Li, Dongping Duan, et al.
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212081-212081
Closed Access | Times Cited: 3
A novel modeling and drilling optimization method with suitable constraints in geological well
Yang Zhou, Xin Chen, Min Wu, et al.
Control Engineering Practice (2022) Vol. 122, pp. 105062-105062
Closed Access | Times Cited: 4
A data-driven approach to estimate the rate of penetration in drilling of hydrocarbon reservoirs
Abbas Hashemizadeh, Ehsan Bahonar, Mohammad Chahardowli, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Intelligent Optimization of Overall Layout for Ultra-Deepwater Subsea Dynamic Umbilicals
Hong Zhu, Jin Yang, Rui Xue, et al.
(2024)
Closed Access
An Automated Approach for Discriminating Hole Cleaning Efficiency While Predicting Penetration Rate in Egyptian Western Desert Wells
Mohamed Y. Saad, Adel M. Salem, Omar Mahmoud
Arabian Journal for Science and Engineering (2024)
Open 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
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