Open Access Helper

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:

An Efficient Method for Detecting Asphalt Pavement Cracks and Sealed Cracks Based on a Deep Data-Driven Model
Nan Yang, Yongshang Li, Ronggui Ma
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10089-10089
Open Access | Times Cited: 10

Showing 10 citing articles:

Real-time high-resolution neural network with semantic guidance for crack segmentation
Yongshang Li, Ronggui Ma, Han Liu, et al.
Automation in Construction (2023) Vol. 156, pp. 105112-105112
Closed Access | Times Cited: 26
Research on the Aging Characteristics of Simulated Asphalt Within Pavement Structures in Natural Environments
Xiang Ma, Weiyi Diao, Jiachen Xu, et al.
Materials (2025) Vol. 18, Iss. 2, pp. 434-434
Open Access
A review of the progress in machine vision-based crack detection and identification technology for asphalt pavements
Songling Huang, Hao Chen, Lingbo Yan, et al.
Digital Transportation and Safety (2025) Vol. 4, Iss. 1, pp. 65-79
Open Access
Semi-supervised crack detection using segment anything model and deep transfer learning
Jiale Li, Chenglong Yuan, Xuefei Wang, et al.
Automation in Construction (2024) Vol. 170, pp. 105899-105899
Closed Access | Times Cited: 3
Data-driven approach for AI-based crack detection: techniques, challenges, and future scope
Priti Chakurkar, Deepali Vora, Shruti Patil, et al.
Frontiers in Sustainable Cities (2023) Vol. 5
Open Access | Times Cited: 8
Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning
Sheng Zhang, Zhenghao Bei, Tonghua Ling, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Deep Learning-Based Road Pavement Inspection by Integrating Visual Information and IMU
Chen-Chiung Hsieh, Han-Wen Jia, Wei-Hsin Huang, et al.
Information (2024) Vol. 15, Iss. 4, pp. 239-239
Open Access | Times Cited: 1
How to Make a State of the Art Report—Case Study—Image-Based Road Crack Detection: A Scientometric Literature Review
Luxin Fan, Saihong Tang, Mohd Khairol Anuar Mohd Ariffin, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4817-4817
Open Access | Times Cited: 1
Shuffle Attention-Based Pavement-Sealed Crack Distress Detection
Bo Yuan, Zhaoyun Sun, Lili Pei, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5757-5757
Open Access | Times Cited: 1
Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature
Hessam Kaveh, Reda Alhajj
Frontiers in Built Environment (2024) Vol. 10
Open Access
Page 1

Scroll to top