Open Access Helper

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:

Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost
Niannian Wang, Liuyang Song, Hongyuan Fang, et al.
IEEE Access (2023) Vol. 11, pp. 116452-116471
Open Access | Times Cited: 4

Showing 4 citing articles:

State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors
Taiwo W. Quadri, Ekemini D. Akpan, Saheed E. Elugoke, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Closed Access
Corrosion Area Detection and Depth Prediction using Machine Learning
Eun-Young Son, Dayeon Jeong, Minjae Oh
International Journal of Naval Architecture and Ocean Engineering (2024) Vol. 16, pp. 100617-100617
Open Access | Times Cited: 4
Prediction model of maximum stress for concrete pipes based on XGBoost-PSO algorithm
Bin Li, Xiangyang Wang, Danyang Di, et al.
Structures (2024) Vol. 68, pp. 107205-107205
Closed Access | Times Cited: 1
A Review of Deformations Prediction for Oil and Gas Pipelines Using Machine and Deep Learning
Bruno Macedo, Tales Humberto de Aquino Boratto, Camila Martins Saporetti, et al.
Studies in systems, decision and control (2024), pp. 289-317
Closed Access
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