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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 dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process
Chao Gan, Weihua Cao, Kang‐Zhi Liu, et al.
Journal of Process Control (2021) Vol. 109, pp. 83-92
Closed Access | Times Cited: 25

Showing 25 citing articles:

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
On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution
Zeyu Yang, Zhiqiang Ge
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8373-8388
Closed Access | Times Cited: 64
Prediction of rate of penetration based on drilling conditions identification for drilling process
Xiao Yang, Min Wu, Chengda Lu, et al.
Neurocomputing (2024) Vol. 579, pp. 127439-127439
Closed Access | Times Cited: 7
Research on adaptive prediction model of rate of penetration under dynamic formation conditions
Hu Yin, Xiuwen Zhao, Qian Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108281-108281
Closed Access | Times Cited: 6
Optimization of drilling parameters using combined multi-objective method and presenting a practical factor
Mohammad Reza Delavar, Ahmad Ramezanzadeh, Raoof Gholami, et al.
Computers & Geosciences (2023) Vol. 175, pp. 105359-105359
Closed Access | Times Cited: 15
A multimodal data sensing and feature learning-based self-adaptive hybrid approach for machining quality prediction
Yongsheng Ma, Geng Zhang, Yingfeng Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102324-102324
Closed Access | Times Cited: 15
Rate of penetration prediction with uncertainty assessment: Case study of a middle-east oil field
Reza Jalakani, Seyyed Shahab Tabatabaee Moradi
Results in Engineering (2024) Vol. 21, pp. 101793-101793
Open Access | Times Cited: 3
Analysis and Multi-Objective Optimization of the Rate of Penetration and Mechanical Specific Energy: A Case Study Applied to a Carbonate Hard Rock Reservoir Based on a Drill Rate Test Using Play-Back Methodology
Diunay Zuliani Mantegazini, Andreas Nascimento, Vitória Felício Dornelas, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2234-2234
Open Access | Times Cited: 3
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
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: 6
Wide and deep cross network for the rate of penetration prediction
Zhi‐Jun Pei, Xianzhi Song, Yong Ji, et al.
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212066-212066
Closed Access | Times Cited: 5
An Improved Dynamic Optimization Control System for the Drilling Rate of Penetration (ROP) and Its Industrial Application
Chao Gan, Weihua Cao, Lu-Zhao Wang, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 6, pp. 6201-6208
Closed Access | Times Cited: 8
Full condition monitoring of geological drilling process based on just-in-time learning-aided slow feature analysis
Aoxue Yang, Min Wu, Chengda Lu, et al.
Journal of Process Control (2024) Vol. 142, pp. 103284-103284
Closed Access | Times Cited: 1
Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes
Yupeng Li, Weihua Cao, R. Bhushan Gopaluni, et al.
Journal of Process Control (2023) Vol. 126, pp. 26-35
Closed Access | Times Cited: 2
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
An Adaptive Ensemble Approach Using Online Global and Local Models for Pump Pressure Prediction in Well Cementing Operations
Yuan Zhong, Jianxin Yang, Ming Xian, et al.
SPE Journal (2024), pp. 1-15
Closed Access
Modeling and evaluation of drilling behaviors to explore the effect of disturbance on the stability control for an electro-hydraulic drilling system
Jinheng Gu, Bojiang Ji, Cong Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111559-111559
Closed Access
A Physically-Constrained Ensemble Learning Rate of Penetration Prediction Model based on Multi-Source Data Fusion
Yongdong Fan, Jin Yan, Huiwen Pang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Research and Application Analysis of Correlative Optimization Algorithms for GAN
Tianmeng Wang
Highlights in Science Engineering and Technology (2023) Vol. 57, pp. 141-147
Closed Access | Times Cited: 1
A robust integrated control design for weight-on-bit fluctuation suppression in drilling process subject to fractured formations
Sike Ma, Min Wu, Luefeng Chen, et al.
ISA Transactions (2022) Vol. 136, pp. 223-234
Closed Access | Times Cited: 2
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
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
Development of computational vision methodologies for monitoring cuttings in the drilling fluid treatment system
Caroline D Grossi, Yuri Nana Hummel, Éder Alves de Moura, et al.
Brazilian Journal of Chemical Engineering (2023)
Closed Access
Data Knowledge Dual-Driven Rate of Penetration Prediction Method for Horizontal Wells
Xiuwen Zhao, Hu Yin, Qian Li
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11396-11396
Open Access
A Novel Hybrid Model for Online Prediction of Rate of Penetration (ROP) in Drilling Process
Yao Wang, Chao Gan, Weihua Cao
2021 China Automation Congress (CAC) (2023), pp. 5555-5560
Closed Access
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