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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:

A review on pavement distress and structural defects detection and quantification technologies using imaging approaches
Chu Chu, Linbing Wang, Haocheng Xiong
Journal of Traffic and Transportation Engineering (English Edition) (2022) Vol. 9, Iss. 2, pp. 135-150
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Pavement anomaly detection based on transformer and self-supervised learning
Zijie Lin, Hui Wang, Shenglin Li
Automation in Construction (2022) Vol. 143, pp. 104544-104544
Closed Access | Times Cited: 89
Recent computer vision applications for pavement distress and condition assessment
Ayman H. El Hakea, Mohamed Waleed Fakhr
Automation in Construction (2022) Vol. 146, pp. 104664-104664
Closed Access | Times Cited: 40
Automatic detection and location of pavement internal distresses from ground penetrating radar images based on deep learning
Xuetang Xiong, Anxin Meng, Jie Lu, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134483-134483
Closed Access | Times Cited: 25
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 13
Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines
Marco Guerrieri, Giuseppe Parla, Masoud Khanmohamadi, et al.
Infrastructures (2024) Vol. 9, Iss. 2, pp. 34-34
Open Access | Times Cited: 9
Real-time instance-level detection of asphalt pavement distress combining space-to-depth (SPD) YOLO and omni-scale network (OSNet)
Jiale Li, Chenglong Yuan, Xuefei Wang
Automation in Construction (2023) Vol. 155, pp. 105062-105062
Closed Access | Times Cited: 21
Advanced industrial informatics towards smart, safe and sustainable roads: A state of the art
Hui Yao, Zijin Xu, Yue Hou, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2023) Vol. 10, Iss. 2, pp. 143-158
Open Access | Times Cited: 19
Intelligent extraction of road cracks based on vehicle laser point cloud and panoramic sequence images
Ming Guo, Li Zhu, Ming Huang, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 1, pp. 69-79
Open Access | Times Cited: 5
Research on the roughness characteristics of cement concrete base after treatment based on 3D laser detection technology
Xing Chen, Bing Hui, Hainian Wang, et al.
Construction and Building Materials (2025) Vol. 460, pp. 139818-139818
Closed Access
Two-camera vision technique for measuring pothole area and depth
Sung-Sik Park, Nhut-Nhut Nguyen
Measurement (2025), pp. 116809-116809
Closed Access
A Generative Approach to Generalize Deep Learning Models for Pavement Distress Segmentation
Abhishek Kumar Prajapati, Ilgin Guler
Data Science for Transportation (2025) Vol. 7, Iss. 1
Closed Access
Advances and Innovations in Road Surface Inspection with Light Detection and Ranging Technology Technology
Huayang Yu, Yisong Ouyang, C.F. Ma, et al.
Journal of Industrial Information Integration (2025), pp. 100842-100842
Closed Access
Monitoring the Internal Conditions of Road Structures by Smart Sensing and In Situ Monitoring Technology: A Review
Xin Xue, Junyao Hui, Lin Chen, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3945-3945
Open Access
Generative adversarial network for real-time identification and pixel-level annotation of highway pavement distresses
Mark Amo-Boateng, Yaw Adu‐Gyamfi
Automation in Construction (2025) Vol. 174, pp. 106122-106122
Closed Access
Flexible and stone pavements distress detection and measurement by deep learning and low-cost detection devices
Marco Guerrieri, Giuseppe Parla
Engineering Failure Analysis (2022) Vol. 141, pp. 106714-106714
Closed Access | Times Cited: 19
Intelligent pavement condition survey: Overview of current researches and practices
Allen Zhang, Jing Shang, Baoxian Li, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 3, pp. 257-281
Open Access | Times Cited: 3
Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance
Saúl Cano-Ortiz, L. Lloret Iglesias, P. Martínez Ruiz del Árbol, et al.
Developments in the Built Environment (2023) Vol. 17, pp. 100315-100315
Open Access | Times Cited: 7
Reflectance spectroscopy of asphalt pavement under moisture and diesel perturbations: A laboratory study
Ravin Deo, Arooran Sounthararajah, Jayantha Kodikara
Construction and Building Materials (2024) Vol. 415, pp. 135076-135076
Open Access | Times Cited: 2
Comparative Study of Lightweight Target Detection Methods for Unmanned Aerial Vehicle-Based Road Distress Survey
Feifei Xu, Yan Wan, Zhipeng Ning, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6159-6159
Open Access | Times Cited: 2
A novel low-cost multi-sensor solution for pavement distress segmentation and characterization at night
Zhouyan Qiu, J. Martínez-Sánchez, Pedro Arias, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103331-103331
Open Access | Times Cited: 5
Flexible pavements longitudinal joint quality evaluation using non-destructive testing
Hamad Bin Muslim, Syed Waqar Haider, Lev Khazanovich
Journal of Road Engineering (2024) Vol. 4, Iss. 2, pp. 189-202
Open Access | Times Cited: 1
Optimal Fuzzy Wavelet Neural Network Based Road Damage Detection
Mohammad Alamgeer, Hend Khalid Alkahtani, Mashael Maashi, et al.
IEEE Access (2023) Vol. 11, pp. 61986-61994
Open Access | Times Cited: 4
A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification
Ankang Ji, Xiaolong Xue, Limao Zhang, et al.
Engineering Construction & Architectural Management (2023)
Closed Access | Times Cited: 4
Establishment of a three-dimensional particle library for graded crushed stone based on a new aggregate morphology characterization method
H. Ge, Aimin Sha, Zhenqiang Han
Journal of Traffic and Transportation Engineering (English Edition) (2024) Vol. 11, Iss. 1, pp. 117-130
Open Access | Times Cited: 1
Predicting pavement performance using distress deterioration curves
Ahmed Abed, Mujib Rahman, Nick Thom, et al.
Road Materials and Pavement Design (2023) Vol. 25, Iss. 6, pp. 1174-1190
Open Access | Times Cited: 3
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