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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:

RENet: Rectangular convolution pyramid and edge enhancement network for salient object detection of pavement cracks
Yanyan Wang, Kechen Song, Jie Liu, et al.
Measurement (2020) Vol. 170, pp. 108698-108698
Closed Access | Times Cited: 69

Showing 1-25 of 69 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
Defect transformer: An efficient hybrid transformer architecture for surface defect detection
Junpu Wang, Guili Xu, Fuju Yan, et al.
Measurement (2023) Vol. 211, pp. 112614-112614
Open Access | Times Cited: 61
An interactive cross‐multi‐feature fusion approach for salient object detection in crack segmentation
Jian Liu, Pei Niu, Lei Kou, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access | Times Cited: 2
Pavement Crack Detection Method Based on Deep Learning Models
Guo X. Hu, Bao Long Hu, Zhong Yang, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 81
Pavement crack detection algorithm based on generative adversarial network and convolutional neural network under small samples
Boqiang Xu, Chao Liu
Measurement (2022) Vol. 196, pp. 111219-111219
Closed Access | Times Cited: 60
YOLO-LRDD: a lightweight method for road damage detection based on improved YOLOv5s
Fang Wan, Chen Sun, Hongyang He, et al.
EURASIP Journal on Advances in Signal Processing (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 55
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
Pixel-level road crack detection in UAV remote sensing images based on ARD-Unet
Yuxi Gao, Hongbin Cao, Weiwei Cai, et al.
Measurement (2023) Vol. 219, pp. 113252-113252
Closed Access | Times Cited: 40
CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes
Chengjia Han, Handuo Yang, Tao Ma, et al.
Automation in Construction (2024) Vol. 160, pp. 105332-105332
Closed Access | Times Cited: 9
Pixel-level bridge crack detection using a deep fusion about recurrent residual convolution and context encoder network
Gang Li, Xiyuan Li, Jian Zhou, et al.
Measurement (2021) Vol. 176, pp. 109171-109171
Closed Access | Times Cited: 50
CycleADC-Net: A crack segmentation method based on multi-scale feature fusion
Yidan Yan, Shujin Zhu, Shaolian Ma, et al.
Measurement (2022) Vol. 204, pp. 112107-112107
Closed Access | Times Cited: 33
Cross-Scale Edge Purification Network for salient object detection of steel defect images
Tuo Ding, Gongyang Li, Zhi Liu, et al.
Measurement (2022) Vol. 199, pp. 111429-111429
Closed Access | Times Cited: 29
A hybrid lightweight encoder-decoder network for automatic bridge crack assessment with real-world interference
Jianghua Deng, Ye Lü, Vincent CS Lee
Measurement (2023) Vol. 216, pp. 112892-112892
Closed Access | Times Cited: 20
Multi-scale context feature and cross-attention network-enabled system and software-based for pavement crack detection
Xin Wen, Shuo Li, Hao Yu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107328-107328
Closed Access | Times Cited: 19
A Semi-Supervised Learning Approach for Pixel-Level Pavement Anomaly Detection
Ruiqi Ren, Peixin Shi, Pengjiao Jia, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 10099-10107
Closed Access | Times Cited: 16
An Automated Instance Segmentation Method for Crack Detection Integrated with CrackMover Data Augmentation
Mian Zhao, Xiangyang Xu, Xiaohua Bao, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 446-446
Open Access | Times Cited: 7
Pavement Crack Detection Based on the Improved Swin-Unet Model
Song Chen, Zhixuan Feng, Guangqing Xiao, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1442-1442
Open Access | Times Cited: 7
Multi-scale multi-modal fusion for object detection in autonomous driving based on selective kernel
Xin Gao, Guoying Zhang, Yijin Xiong
Measurement (2022) Vol. 194, pp. 111001-111001
Closed Access | Times Cited: 25
Robust crack detection in masonry structures with Transformers
Elyas Asadi Shamsabadi, Chang Xu, Daniel Dias‐da‐Costa
Measurement (2022) Vol. 200, pp. 111590-111590
Closed Access | Times Cited: 25
MiniCrack: A simple but efficient convolutional neural network for pixel-level narrow crack detection
Zhi-Xiong Lan, Xuemei Dong
Computers in Industry (2022) Vol. 141, pp. 103698-103698
Closed Access | Times Cited: 23
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices
Jun Chen, Ye Liu, Jia-ao Hou
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3027-3046
Closed Access | Times Cited: 15
Improved YOLOv5-Based Real-Time Road Pavement Damage Detection in Road Infrastructure Management
Abdullah As Sami, Saadman Sakib, Kaushik Deb, et al.
Algorithms (2023) Vol. 16, Iss. 9, pp. 452-452
Open Access | Times Cited: 15
Normal-Knowledge-Based Pavement Defect Segmentation Using Relevance-Aware and Cross-Reasoning Mechanisms
Yanyan Wang, Menghui Niu, Kechen Song, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 4413-4427
Closed Access | Times Cited: 14
MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object Detection
Bin Wan, Xiaofei Zhou, Yaoqi Sun, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 2069-2081
Closed Access | Times Cited: 13
CrackYOLO: Rural Pavement Distress Detection Model with Complex Scenarios
Yuxuan Li, Shangyu Sun, Song Wei-dong, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 312-312
Open Access | Times Cited: 5
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