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:

Analysis and prediction of railway track longitudinal level using multiple machine learning methods
Lei Han, Yingying Liao, Haoyu Wang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 024001-024001
Closed Access | Times Cited: 5

Showing 5 citing articles:

Short‐term prediction of railway track degradation using ensemble deep learning
Yong Zhuang, Yuanjie Tang, Yuming Qiu, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network
Changchun Liu, Dunbing Tang, Haihua Zhu, et al.
Computers & Industrial Engineering (2025), pp. 111048-111048
Closed Access

Artificial-intelligent-powered safety and efficiency improvement for controlling and scheduling in integrated railway systems
Jun Liu, Gehui Liu, Yu Wang, et al.
High-speed Railway (2024) Vol. 2, Iss. 3, pp. 172-179
Open Access | Times Cited: 3

Enhanced measurement and optimization of railway profile parameters for large tamping machine operations
Shu Li, Zhihui Liu, Lei Han, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115010-115010
Closed Access

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