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:

Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables
Alejandro Jiménez Ríos, Mohamed El Amine Ben Seghier, Vagelis Plevris, et al.
Results in Engineering (2024) Vol. 23, pp. 102723-102723
Open Access | Times Cited: 7

Showing 7 citing articles:

Hybridization of Stochastic Hydrological Models and Machine Learning Methods for Improving Rainfall-Runoff Modelling
Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick Kiplangat Ronoh, et al.
Results in Engineering (2025), pp. 104079-104079
Open Access | Times Cited: 3

A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data
Mohamed El Amine Ben Seghier, Tam T. Truong, Christian Feiler, et al.
Results in Engineering (2025), pp. 104417-104417
Open Access | Times Cited: 1

Machine Learning Prediction of Permeability Distribution in the X Field Malay Basin Using Elastic Properties
Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, et al.
Results in Engineering (2024), pp. 103421-103421
Open Access | Times Cited: 4

Corrosion fatigue degradation of FRP tendon after acidic corrosion coupling with sustaining/fatigue loading
Xia Liu, Xin Wang, Jingyang Zhou, et al.
Engineering Structures (2025) Vol. 335, pp. 120383-120383
Closed Access

ADVANCED PREDICTIVE MODELING OF SHEAR STRENGTH IN STAINLESS-STEEL COLUMN WEB PANELS USING EXPLAINABLE AI INSIGHTS
Sina Sarfarazi, Rabee Shamass, Federico Guarracino, et al.
Results in Engineering (2024), pp. 103454-103454
Open Access | Times Cited: 2

Explainable Ensemble Learning Approaches for Predicting the Compression Index of Clays
Qi Ge, Y. Xia, Junwei Shu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1701-1701
Open Access

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