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:

Asphalt Pavement Crack Detection Based on Convolutional Neural Network and Infrared Thermography
Fangyu Liu, Jian Liu, Linbing Wang
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 22145-22155
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Deep learning and infrared thermography for asphalt pavement crack severity classification
Fangyu Liu, Jian Liu, Linbing Wang
Automation in Construction (2022) Vol. 140, pp. 104383-104383
Closed Access | Times Cited: 81
Advanced crack detection and segmentation on bridge decks using deep learning
Thai Son Tran, Son Dong Nguyen, Hyun Jong Lee, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132839-132839
Closed Access | Times Cited: 45
Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning
Fangyu Liu, Jian Liu, Linbing Wang, et al.
Automation in Construction (2024) Vol. 161, pp. 105355-105355
Closed Access | Times Cited: 16
Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning
Fangyu Liu, Jian Liu, Linbing Wang
Automation in Construction (2022) Vol. 143, pp. 104575-104575
Closed Access | Times Cited: 48
Optimizing asphalt mix design through predicting the rut depth of asphalt pavement using machine learning
Jian Liu, Fangyu Liu, Chuanfeng Zheng, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129211-129211
Closed Access | Times Cited: 44
Modeling automatic pavement crack object detection and pixel-level segmentation
Yuchuan Du, Shan Zhong, Hongyuan Fang, et al.
Automation in Construction (2023) Vol. 150, pp. 104840-104840
Closed Access | Times Cited: 37
Multiple distresses detection for Asphalt Pavement using improved you Only Look Once Algorithm based on convolutional neural network
Han-Cheng Dan, Peng Yan, Jiawei Tan, et al.
International Journal of Pavement Engineering (2024) Vol. 25, Iss. 1
Closed Access | Times Cited: 12
A dual encoder crack segmentation network with Haar wavelet-based high-low frequency attention
Jianming Zhang, Zhigao Zeng, Pradip Kumar Sharma, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124950-124950
Closed Access | Times Cited: 9
Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm
Mehmet Yılmaz, Erkut Yalçın, Saif Kifah, et al.
IEEE Access (2024) Vol. 12, pp. 6604-6614
Open Access | Times Cited: 8
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 32
Overview of the application of Ground-Penetrating Radar, Laser, infrared thermal Imaging, and ultrasonic in nondestructive testing of road surface
Xiaolong Yang, Richeng Huang, Yongjun Meng, et al.
Measurement (2023) Vol. 224, pp. 113927-113927
Closed Access | Times Cited: 16
Deep learning-based intelligent detection of pavement distress
Lele Zheng, Jingjing Xiao, Yinghui Wang, et al.
Automation in Construction (2024) Vol. 168, pp. 105772-105772
Closed Access | Times Cited: 7
Vision based nighttime pavement cracks pixel level detection by integrating infrared visible fusion and deep learning
Mengnan Shi, H. X. Li, Qiang Yao, et al.
Construction and Building Materials (2024) Vol. 442, pp. 137662-137662
Closed Access | Times Cited: 6
Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning
Jian Liu, Fangyu Liu, Chuanfeng Zheng, et al.
Construction and Building Materials (2022) Vol. 360, pp. 129439-129439
Closed Access | Times Cited: 25
Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation
Hong Huang, Yuanzhi Cai, Cheng Zhang, et al.
Automation in Construction (2023) Vol. 158, pp. 105213-105213
Closed Access | Times Cited: 15
A two-stage framework for pixel-level pavement surface crack detection
Feng Guo, Jian Liu, Quanyi Xie, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108312-108312
Closed Access | Times Cited: 5
Improvement of crack detectivity for noisy concrete surface by machine learning methods and infrared images
Kazuma Shibano, Nadezhda Morozova, Yuma Shimamoto, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e02984-e02984
Open Access | Times Cited: 4
Artificial intelligence applications in pavement infrastructure damage detection with automated three-dimensional imaging – A systematic review
Saleh Abu Dabous, Mohamed Ait Gacem, Waleed Zeiada, et al.
Alexandria Engineering Journal (2025) Vol. 117, pp. 510-533
Closed Access
Study on the Attribute Characteristics of Road Cracks Detected by Ground-Penetrating Radar
Shili Guo, Mingyu Yu, Zhiwei Xu, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 595-595
Open Access
Graph neural network-based 3D asphalt concrete pavement response modelling
Fangyu Liu, Imad L. Al‐Qadi
International Journal of Pavement Engineering (2025) Vol. 26, Iss. 1
Closed Access
Building Crack Detection Method Based on Convolutional Neural Network
Ya Qin
Smart innovation, systems and technologies (2025), pp. 275-286
Closed Access
Comparison of Asphalt Pavement Crack Segmentation Based on Different Fusion Methods of RGB Images and Thermal Images
Ye Yu, Shuai Kang, Dongqing He, et al.
Journal of Transportation Engineering Part B Pavements (2025) Vol. 151, Iss. 2
Closed 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
Deep transfer learning-based vehicle classification by asphalt pavement vibration
Fangyu Liu, Zhoujing Ye, Linbing Wang
Construction and Building Materials (2022) Vol. 342, pp. 127997-127997
Open Access | Times Cited: 21
Automatic Pavement Crack Detection Fusing Attention Mechanism
Ren Jun-hua, Guowu Zhao, Yadong Ma, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3622-3622
Open Access | Times Cited: 20
Page 1 - Next Page

Scroll to top