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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:

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

Showing 15 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
Review of Applicable Outlier Detection Methods to Treat Geomechanical Data
Behzad Dastjerdy, Ali Saeidi, Shahriyar Heidarzadeh
Geotechnics (2023) Vol. 3, Iss. 2, pp. 375-396
Open Access | Times Cited: 20
Intelligent Prediction of Rate of Penetration through Meta-Learning and Data Augmentation Synergy under Limited Sample
Zhengchao Ma, Jintao Weng, Junkai Zhang, et al.
Geoenergy Science and Engineering (2025), pp. 213818-213818
Closed Access
Research on the application of particle swarm optimization algorithm based on heterogeneous lithology analysis and drilling parameter correction to optimize the back propagation neural network rate of penetration prediction model
Xinjie Fang, Zhongzhi Hu, Song Wei, et al.
Petroleum Science and Technology (2025), pp. 1-22
Closed Access
Interpretable Automated Machine Learning Workflow for Intelligent Drilling in the Petroleum Industry: Case Study on Rate of Penetration Prediction
Zhengchao Ma, Hao Hu, Xiaoxia Zhou, et al.
SPE Journal (2025), pp. 1-20
Closed Access
Fusion model of weight on bit in horizontal exploration hole based on wavelet transform and machine learning
Xikun Gao, Dajun Zhao, Yan Zhao, et al.
Geoenergy Science and Engineering (2024) Vol. 234, pp. 212654-212654
Closed Access | Times Cited: 4
Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines
Wangnian Li, Min Wu, Shipeng Chen, et al.
Journal of Advanced Computational Intelligence and Intelligent Informatics (2024) Vol. 28, Iss. 4, pp. 1052-1062
Open Access | Times Cited: 2
Modeling CO2 Loading Capacity of Diethanolamine (DEA) Aqueous Solutions Using Advanced Deep Learning and Machine Learning Algorithms: Application to Carbon Capture
Atena Mahmoudzadeh, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Korean Journal of Chemical Engineering (2024) Vol. 41, Iss. 5, pp. 1427-1448
Closed Access | Times Cited: 1
Data-driven wireline sticking risk assessment and control factor analysis
Fengtao Qu, Hualin Liao, XinYuan Yan, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212220-212220
Closed Access | Times Cited: 2
Artificial intelligence-based framework for precise prediction of asphaltene particle aggregation kinetics in petroleum recovery
Ali Sharifzadegan, Mohammad Behnamnia, Abolfazl Dehghan Monfared
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
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
Prediction of the ROP based on GA-LightGBM and drilling data
Shuai Shuai Wang, Jun Yan, Hao Geng
Geosystem Engineering (2024), pp. 1-19
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
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
Robust Asphaltene Onset Pressure Prediction using Ensemble Learning
Jafar Khalighi, Аlexey Cheremisin
Results in Engineering (2024), pp. 103483-103483
Open Access
Analysis of pipe sticking due to wellbore uncleanliness using machine learning
A. Aseel, M. Abdullah, R. P. Roy, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22366-e22366
Open Access | Times Cited: 1
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