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:

Application of machine learning models for prediction of rheological properties of wax-modified asphalt binders
Juan Sebastián Useche-Castelblanco, Óscar Javier Reyes Ortiz, Allex E. Álvarez
Construction and Building Materials (2023) Vol. 395, pp. 132352-132352
Open Access | Times Cited: 6

Showing 6 citing articles:

Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Barshan Dev, Md Ashikur Rahman, Md. Jahidul Islam, et al.
Materials Today Communications (2023) Vol. 38, pp. 107659-107659
Closed Access | Times Cited: 17

The influence of olive kernel ash obtained from canning factory as a bitumen modifier
Mahyar Arabani, Mohammad Hossein Hassanjani
Construction and Building Materials (2024) Vol. 441, pp. 137532-137532
Closed Access | Times Cited: 7

Real-time pavement temperature prediction through ensemble machine learning
Yared Bitew Kebede, Ming‐Der Yang, Chien-Wei Huang
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108870-108870
Open Access | Times Cited: 5

Optimizing modified asphalt binder performance at high and intermediate temperatures using experimental and machine learning approaches
Riyadul Hashem RİYAD, Rishav Jaiswal, Imrose B. Muhit, et al.
Construction and Building Materials (2024) Vol. 449, pp. 138350-138350
Open Access | Times Cited: 4

Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives
Nishanthini Jegatheesan, Mohd Rasdan Ibrahim, Ali Najah Ahmed, et al.
Construction and Building Materials (2024) Vol. 444, pp. 137648-137648
Closed Access

Exploring the roles of numerical simulations and machine learning in multiscale paving materials analysis: Applications, challenges, best practices
Mahmoud Khadijeh, Cor Kasbergen, Sandra Erkens, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117462-117462
Open Access

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