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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:

Predicting Rate of Penetration of Horizontal Drilling by Combining Physical Model with Machine Learning Method in the China Jimusar Oil Field
Chuanjie Ren, Wenjun Huang, Deli Gao
SPE Journal (2022) Vol. 28, Iss. 06, pp. 2713-2736
Closed Access | Times Cited: 17

Showing 17 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
Prediction of the rate of penetration in offshore large-scale cluster extended reach wells drilling based on machine learning and big-data techniques
Xuyue Chen, Chengkai Weng, Xu Du, et al.
Ocean Engineering (2023) Vol. 285, pp. 115404-115404
Closed Access | Times Cited: 18
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
Prediction Model of Build-up Rate for Bottom-hole Assembly in Rotary Drilling
Ran Chen, Wenjun Huang, Deli Gao
Geoenergy Science and Engineering (2024), pp. 213610-213610
Closed Access | Times Cited: 1
Prediction model of continuous discharge coefficient from tank based on KPCA-DE-SVR
Juanxia He, Liwen Huang, Yao Xiao, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 89, pp. 105316-105316
Closed Access | Times Cited: 1
A Sequential Feature-Based Rate of Penetration Representation Prediction Method by Attention Long Short-Term Memory Network
Zhong Cheng, Fuqiang Zhang, Liang Zhang, et al.
SPE Journal (2023) Vol. 29, Iss. 02, pp. 681-699
Closed Access | Times Cited: 3
Interpretable Feature Construction and Incremental Update Fine-Tuning Strategy for Prediction of Rate of Penetration
Jianxin Ding, Rui Zhang, Xin Wen, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5670-5670
Open Access | Times Cited: 2
Prediction of penetration rate and optimization of weight on a bit using artificial neural networks
Hong Duong Vu, Minh Hoa Nguyễn, Tien Hung Nguyen, et al.
Bulletin of the Tomsk Polytechnic University Geo Assets Engineering (2024) Vol. 335, Iss. 3, pp. 192-203
Open Access
Enhancing Real-Time Drilling Efficiency: Mechanism of ROP Prediction Models and Novel Optimization Strategies in Chinese Oilfields
Xianzhi Song, Rui Zhang, Z. P. Zhu, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 175
Closed Access
A rate of penetration (ROP) prediction method based on improved dung beetle optimization algorithm and BiLSTM-SA
Mengyuan Xiong, Shuangjin Zheng, Wei Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open 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
A Rate of Penetration (ROP) Prediction Method Based on Improved Dung Beetle Optimization Algorithm and BiLSTM-SA
Mengyuan Xiong, Shuangjin Zheng, Rongsheng Cheng, et al.
Research Square (Research Square) (2024)
Open Access
A Hybrid Modeling Method Enables Real-Time Prediction of Hydraulic Fracturing Wellhead Pressure
Kankan Bai, Mao Sheng, Liangliang Jiang, et al.
(2024)
Closed Access
Enhanced Prediction of Rate of Penetration Using the Interpretable Hybrid Temporal Graph Neural Network
Rui Zhang, Zhaopeng Zhu, Xianzhi Song, et al.
(2024)
Closed Access
Stop Using Black-Box Models: Application of Explainable Artificial Intelligence for Rate of Penetration Prediction
Han Meng, Botao Lin, Yan Jin
SPE Journal (2024), pp. 1-15
Closed Access
Real-time drilling torque prediction ahead of the bit with just-in-time learning
Kankan Bai, Sheng Mao, Hongbao Zhang, et al.
Petroleum Science (2024)
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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