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:

Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model
Xiaoran Feng, Liyang Xiao, Wei Li, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-22
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Narges Kheradmandi, Vida Mehranfar
Construction and Building Materials (2022) Vol. 321, pp. 126162-126162
Closed Access | Times Cited: 237

Review on computer vision-based crack detection and quantification methodologies for civil structures
Jianghua Deng, Amardeep Singh, Yiyi Zhou, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129238-129238
Closed Access | Times Cited: 110

Autonomous surface crack identification of concrete structures based on an improved one-stage object detection algorithm
Pei‐Rong Wu, Airong Liu, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 272, pp. 114962-114962
Closed Access | Times Cited: 72

Automated detection and segmentation of tunnel defects and objects using YOLOv8-CM
Chaohui Zhang, Xiangsheng Chen, Peng Liu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105857-105857
Closed Access | Times Cited: 17

Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack detection and concrete property exploration
Kaustav Sarkar, Amit Shiuly, Krishna Gopal Dhal
Construction and Building Materials (2023) Vol. 411, pp. 134212-134212
Closed Access | Times Cited: 34

Detection of Asphalt Pavement Cracks Based on Vision Transformer Improved YOLO V5
Sike Wang, Xueqin Chen, Qiao Dong
Journal of Transportation Engineering Part B Pavements (2023) Vol. 149, Iss. 2
Closed Access | Times Cited: 28

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

Pavement Defect Detection With Deep Learning: A Comprehensive Survey
Lili Fan, Dandan Wang, Junhao Wang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 3, pp. 4292-4311
Closed Access | Times Cited: 19

Attention‐Based Convolutional Neural Network for Pavement Crack Detection
Haifeng Wan, Lei Gao, Manman Su, et al.
Advances in Materials Science and Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 33

Assessing severity of road cracks using deep learning-based segmentation and detection
JongWoo Ha, Dongsoo Kim, Minsoo Kim
The Journal of Supercomputing (2022) Vol. 78, Iss. 16, pp. 17721-17735
Open Access | Times Cited: 24

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

Novel pavement crack detection sensor using coordinated mobile robots
Mohammad Alkhedher, Abdullah Alsit, Marah Alhalabi, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 172, pp. 105021-105021
Open 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 grid‐based classification and box‐based detection fusion model for asphalt pavement crack
Bao‐Luo Li, Qi Yu, Jian‐Sheng Fan, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 16, pp. 2279-2299
Closed Access | Times Cited: 19

Deep Domain Adaptation for Pavement Crack Detection
Huijun Liu, Yang Chun-hua, Ao Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022), pp. 1-13
Closed Access | Times Cited: 19

Development and optimization of object detection technology in civil engineering: A literature review
Hui Yao, Yaning Fan, Yanhao Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 2, pp. 163-188
Open Access | Times Cited: 4

Recognition of road cracks based on multi-scale Retinex fused with wavelet transform
Shenao Liu, Yonghua Han, Lu Xu
Array (2022) Vol. 15, pp. 100193-100193
Closed Access | Times Cited: 17

YOLOv5s-road: Road surface defect detection under engineering environments based on CNN-transformer and adaptively spatial feature fusion
Tian Jiang, Zhiyang Liu, Guang-Zhu Zhang
Measurement (2024), pp. 115990-115990
Closed Access | Times Cited: 3

Stress-Crack detection in maize kernels based on machine vision
Jia Li, Bo Zhao, Jincan Wu, et al.
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106795-106795
Closed Access | Times Cited: 14

Bridge crack detection based on improved single shot multi-box detector
Guanlin Lu, Xiaohui He, Qiang Wang, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0275538-e0275538
Open Access | Times Cited: 14

Segmentation of trabecular bone microdamage in Xray microCT images using a two-step deep learning method
Rodrigue Caron, Irene Londoño, Lama Seoud, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2022) Vol. 137, pp. 105540-105540
Closed Access | Times Cited: 14

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

Efficient Pavement Crack Detection and Classification Using Custom YOLOv7 Model
Arselan Ashraf, Ali Sophian, Amir Akramin Shafie, et al.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 7

Automatic Damage Detection of Pavement through DarkNet Analysis of Digital, Infrared, and Multi-Spectral Dynamic Imaging Images
Hyungjoon Seo, Yunfan Shi, Lang Fu
Sensors (2024) Vol. 24, Iss. 2, pp. 464-464
Open Access | Times Cited: 2

Page 1 - Next Page

Scroll to top