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:

An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
Saúl Cano-Ortiz, L. Lloret Iglesias, P. Martínez Ruiz del Árbol, et al.
Construction and Building Materials (2024) Vol. 416, pp. 135036-135036
Open Access | Times Cited: 11

Showing 11 citing articles:

Enhanced end-to-end regression algorithm for autonomous road damage detection
Hongjia Xing, Feng Yang, Xu Qiao, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access | Times Cited: 1

Modified MobileNetV2 transfer learning model to detect road potholes
Neha Tanwar, Anil V. Turukmane
PeerJ Computer Science (2025) Vol. 11, pp. e2519-e2519
Open Access

PRISMA Review: Drones and AI in Inventory Creation of Signage
Geovanny Satama-Bermeo, José Manuel López-Guede, Javad Rahebi, et al.
Drones (2025) Vol. 9, Iss. 3, pp. 221-221
Open Access

DEPP: Automated detection of pavement patching and nonslip coatings
Son Dong Nguyen, Jeong Hoon Song, Van Phuc Tran, et al.
Measurement (2025), pp. 117315-117315
Closed Access

A novel method for pothole detection based on incomplete point clouds
Junkui Zhong, Deyi Kong, Yuliang Wei, et al.
Measurement (2025), pp. 117344-117344
Closed Access

YOLOv8 and point cloud fusion for enhanced road pothole detection and quantification
Junkui Zhong, Deyi Kong, Yuliang Wei, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Computer Vision Method for Automatic Detection of Microstructure Defects of Concrete
Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4373-4373
Open Access | Times Cited: 3

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 3

An efficient and automatic method based on monocular camera and GNSS for collecting and updating geographical coordinates of mileage pile in highway digital twin map
Han Liu, Ronggui Ma
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126011-126011
Closed Access | Times Cited: 1

Leveraging a deep learning generative model to enhance recognition of minor asphalt defects
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Bottom-Up Cracks Detection in Road Pavement in Artificial Neural Network
V Sunil Kumar, Laith H. Alzubaidi, G. P. Ramesh, et al.
(2024), pp. 1-5
Closed Access

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