OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Detecting Anomalies in National Bridge Inventory Databases Using Machine Learning Methods
Ehsan Fereshtehnejad, Gianluca Gazzola, Pratik A. Parekh, et al.
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 6, pp. 453-467
Closed Access | Times Cited: 8

Showing 8 citing articles:

Corrosion assessment using ground penetrating radar in reinforced concrete structures: Influential factors and analysis methods
Nour Faris, Tarek Zayed, Eslam Mohammed Abdelkader, et al.
Automation in Construction (2023) Vol. 156, pp. 105130-105130
Closed Access | Times Cited: 25

Feasibility of Passive Intermodulation Test for Detecting Corrosion in Reinforcing Bars
Sang-Ho Lee, J. Lee, Changbin Joh, et al.
NDT & E International (2025) Vol. 152, pp. 103333-103333
Closed Access | Times Cited: 1

Machine learning in supply chain management: systematic literature review and future research agenda
Ilias Vlachos, Patlolla Sathvika Reddy
International Journal of Production Research (2025), pp. 1-30
Closed Access

Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition
Qingfu Li, Zongming Song
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5442-5442
Open Access | Times Cited: 16

Feasibility of Passive Intermodulation Test for Detecting Corrosion in Reinforcing Bars
Sang-Ho Lee, Joo-Hyung Lee, Changbin Joh, et al.
(2024)
Closed Access

Page 1

Scroll to top