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:

Enhancing rutting depth prediction in asphalt pavements: A synergistic approach of extreme gradient boosting and snake optimization
Shuting Chen, Jinde Cao, Ying Wan, et al.
Construction and Building Materials (2024) Vol. 421, pp. 135726-135726
Closed Access | Times Cited: 5

Showing 5 citing articles:

Machine learning applications for electrospun nanofibers: a review
Balakrishnan Subeshan, Asonganyi Atayo, Eylem Asmatulu
Journal of Materials Science (2024) Vol. 59, Iss. 31, pp. 14095-14140
Open Access | Times Cited: 12

Polypropylene waste plastic fiber morphology as an influencing factor on the performance and durability of concrete: Experimental investigation, soft-computing modeling, and economic analysis
Razan Alzein, M. Vinod Kumar, Ashwin Raut, et al.
Construction and Building Materials (2024) Vol. 438, pp. 137244-137244
Closed Access | Times Cited: 10

Data-driven modeling of the quantitative structure-activity relationship between aggregate contact parameters and dynamic modulus in asphalt mixtures
Lin Kong, Xiuquan Lin, Pengfei Wu, et al.
Construction and Building Materials (2025) Vol. 470, pp. 140698-140698
Closed Access

Expediting carbon dots synthesis by the active adaptive method with machine learning and applications in dental diagnosis and treatment
Yaoyao Tang, Quan Xu, Xinyao Zhang, et al.
Nano Research (2024)
Closed Access | Times Cited: 2

Development of petroleum-derived polymeric additive to enhance the bituminous properties with the use of a machine-learning model
Mukesh Kumar Awasthi, Vedant Josi, R. C. Upadhyay, et al.
Sustainable Chemistry for the Environment (2024), pp. 100186-100186
Open Access

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