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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:

Asymmetric dual-decoder-U-Net for pavement crack semantic segmentation
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Automation in Construction (2023) Vol. 156, pp. 105138-105138
Closed Access | Times Cited: 20

Showing 20 citing articles:

An attention-based progressive fusion network for pixelwise pavement crack detection
Mingyang Ma, Lei Yang, Yanhong Liu, et al.
Measurement (2024) Vol. 226, pp. 114159-114159
Closed Access | Times Cited: 16
A Review of Computer Vision-Based Crack Detection Methods in Civil Infrastructure: Progress and Challenges
Qi Yuan, Yufeng Shi, Mingyue Li
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2910-2910
Open Access | Times Cited: 8
Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 4
Lightweight decoder U-net crack segmentation network based on depthwise separable convolution
Yongbo Yu, Yage Zhang, Junyang Yu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 5
Closed Access | Times Cited: 3
Topology-joint Curvilinear Segmentation Network using Confidence-based Bezier Topological Representation
Jianwei Li, Yuchun Huang, Xi Ye, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110045-110045
Closed Access
Deeep Learning in Crack Detection: A Comprehensive Scientometric Review
Yingjie Wu, Shaoqi Li, Jingqiu Li, et al.
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100144-100144
Open Access
ISTD-CrackNet: Hybrid CNN-transformer models focusing on fine-grained segmentation of multi-scale pavement cracks
Zaiyan Zhang, Yangyang Zhuang, Song Wei-dong, et al.
Measurement (2025), pp. 117215-117215
Closed Access
A rapid and precise detection and measurement method for road cracks based on video keyframes and DPPNet
Ping Wang, Jun Zhu, Marco Scaioni
Measurement (2025), pp. 117493-117493
Closed Access
A review of crack research in concrete structures based on data-driven and intelligent algorithms
Congcong Fan, Youliang Ding, Xujia Liu, et al.
Structures (2025) Vol. 75, pp. 108800-108800
Closed Access
Crack Defect Detection Method for Plunge Pool Corridor Based on the Improved U-Net Network
Chunyao Hou, Zhihui Liu, Fan Xia, et al.
Applied Sciences (2025) Vol. 15, Iss. 10, pp. 5225-5225
Open Access
Enhancing autonomous pavement crack detection: Optimizing YOLOv5s algorithm with advanced deep learning techniques
Shuangxi Zhou, Dan Yang, Ziyu Zhang, et al.
Measurement (2024) Vol. 240, pp. 115603-115603
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
An Attention-Based Improved U-Net Neural Network Model for Semantic Segmentation of Moving Objects
Zhihao Cui
IEEE Access (2024) Vol. 12, pp. 57071-57081
Open Access | Times Cited: 1
Artificial Intelligence Computer-Aided Diagnosis to automatically predict the Pediatric Wrist Trauma using Medical X-ray Images
Elif Merve Erzen, Ertan Bütün, Mugahed A. Al-antari, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 3
Semantics-Enhanced Refiner in Skip Connection for Crack Segmentation
Zhigao Zeng, Jin Wang, Cao Wei, et al.
Lecture notes in computer science (2024), pp. 81-92
Closed Access
Enhanced pavement crack segmentation with minimal labeled data: a triplet attention teacher-student framework
Mohammed Ameen Mohammed, Zheng Han, Yange Li, et al.
International Journal of Pavement Engineering (2024) Vol. 25, Iss. 1
Closed Access
Triplet Attention-Enhanced UNet Architectures for Advanced Skin Lesion Segmentation
Zaid Al‐Huda, Mugahed A. Al-antari, Riyadh Nazar Ali Algburi, et al.
(2024), pp. 1-8
Closed Access
TSPCS-net: Two-stage pavement crack segmentation network based on encoder-decoder architecture
Biao Yue, Jianwu Dang, Qi Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109840-109840
Closed Access
MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation
Zaid Al‐Huda, Bo Peng, Mugahed A. Al-antari, et al.
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) (2023), pp. 170-177
Closed Access | Times Cited: 1
Exploring Polyp Segmentation Through UNet-Based Models with Visual Insight
Ali Sharai, Huanlai Xing, Zaid Al‐Huda
(2024), pp. 1-8
Closed Access
A classification model of road accumulated snow severity based on the fusion of DeepLabV3 + and U-Net
Yaoyao Pei, Junfan Lu, Henglin Xiao, et al.
Road Materials and Pavement Design (2024), pp. 1-22
Closed Access
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