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 oil and gas pipeline failures through machine learning approaches: A systematic review
Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, et al.
Energy Reports (2023) Vol. 10, pp. 1313-1338
Open Access | Times Cited: 34
Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, et al.
Energy Reports (2023) Vol. 10, pp. 1313-1338
Open Access | Times Cited: 34
Showing 26-50 of 34 citing articles:
A Discrimination method of three types of defects in insulated cladding components based on the lift-off effect of capacitive imaging (CI) technology
Zhen Li, Xiaokang Yin, Jianqing Han, et al.
Sensors and Actuators A Physical (2024) Vol. 371, pp. 115293-115293
Closed Access | Times Cited: 2
Zhen Li, Xiaokang Yin, Jianqing Han, et al.
Sensors and Actuators A Physical (2024) Vol. 371, pp. 115293-115293
Closed Access | Times Cited: 2
Advanced Industrial Fault Detection: A Comparative Analysis of Ultrasonic Signal Processing and Ensemble Machine Learning Techniques
Amirhossein Moshrefi, Frédéric Nabki
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6397-6397
Open Access | Times Cited: 2
Amirhossein Moshrefi, Frédéric Nabki
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6397-6397
Open Access | Times Cited: 2
Application of Machine Learning Approaches to Prediction of Corrosion Defects in Energy Pipelines
Muhammad Nihal Hussain, Tieling Zhang, Ishrat Jamil, et al.
Engineering materials (2024), pp. 127-166
Closed Access | Times Cited: 1
Muhammad Nihal Hussain, Tieling Zhang, Ishrat Jamil, et al.
Engineering materials (2024), pp. 127-166
Closed Access | Times Cited: 1
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
A. Aseel, M. Abdullah, R. P. Roy, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22366-e22366
Open Access | Times Cited: 1
An All-in-One Internal and External Coating Material for Enhancing Water Conveyance Pipelines
Andrea Mansfeld, Matthew A. Nakatsuka, Ishan Mons, et al.
(2024)
Closed Access
Andrea Mansfeld, Matthew A. Nakatsuka, Ishan Mons, et al.
(2024)
Closed Access
Extraction and Association Analysis of Risk Factors in Gas Pipeline Network Emergencies Through Fusing Expert Knowledge and Pre-Trained Model
Xinghao Zhao, Yanzhu Hu, Xiaoyu Liu, et al.
IEEE Access (2024) Vol. 12, pp. 65640-65649
Open Access
Xinghao Zhao, Yanzhu Hu, Xiaoyu Liu, et al.
IEEE Access (2024) Vol. 12, pp. 65640-65649
Open Access
Optimizing Rolling Strategies for API 5L X80 Steel Heavy Plates Produced by Thermomechanical Processing in a Reversible Single-Stand Mill
Luiz Gustavo de Oliveira Abreu, Geraldo Lúcio de Faria, Ricardo José de Faria, et al.
Metals (2024) Vol. 14, Iss. 7, pp. 746-746
Open Access
Luiz Gustavo de Oliveira Abreu, Geraldo Lúcio de Faria, Ricardo José de Faria, et al.
Metals (2024) Vol. 14, Iss. 7, pp. 746-746
Open Access
Uncertainty Quantification Method for Trend Prediction of Oil Well Time Series Data Based on SDMI Loss Function
Yun Shen, Xiang Wang, Yixin Xie, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2642-2642
Open Access
Yun Shen, Xiang Wang, Yixin Xie, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2642-2642
Open Access
Designing an Interpretable Machine Learning Model for Predicting and Preventing Human Errors in Critical Infrastructure Operation
Manoj Babu, S.K. Muthusundar, Hashim Hayath Basha, et al.
(2023), pp. 1-6
Closed Access
Manoj Babu, S.K. Muthusundar, Hashim Hayath Basha, et al.
(2023), pp. 1-6
Closed Access
