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:

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

Showing 1-25 of 40 citing articles:

A framework for fault detection method selection of oceanographic multi-layer winch fibre rope arrangement
Haoran Ye, Wenhua Li, Shanying Lin, et al.
Measurement (2024) Vol. 226, pp. 114168-114168
Closed Access | Times Cited: 41

Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Jian Cheng, Changjian Deng, Yanzhou Su, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 1-34
Closed Access | Times Cited: 19

An integration–competition network for bridge crack segmentation under complex scenes
Lixiang Sun, Yixin Yang, Guoxiong Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 617-634
Closed Access | Times Cited: 22

MED-YOLOv8s: a new real-time road crack, pothole, and patch detection model
Minghu Zhao, Yaoheng Su, Jiuxin Wang, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 2
Closed Access | Times Cited: 13

The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction
Xulin Zhou, Qiankun Zhu, Qiong Zhang, et al.
Measurement (2024) Vol. 227, pp. 114311-114311
Closed Access | Times Cited: 8

Advanced crack detection and quantification strategy based on CLAHE enhanced DeepLabv3+
Xuefei Wang, Tingkai Wang, Jiale Li
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106880-106880
Closed Access | Times Cited: 17

Automated vision-based structural health inspection and assessment for post-construction civil infrastructure
Isaac Osei Agyemang, Xiaoling Zhang, Isaac Adjei-Mensah, et al.
Automation in Construction (2023) Vol. 156, pp. 105153-105153
Closed Access | Times Cited: 17

A comparison study of semantic segmentation networks for crack detection in construction materials
Zhongqi Shi, Nan Jin, Dongbo Chen, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134950-134950
Closed Access | Times Cited: 6

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

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

Continuous pavement crack detection using ECA-enhanced instance segmentation of video images
Qianghua Chen, Shulin Fu
Construction and Building Materials (2025) Vol. 465, pp. 140247-140247
Closed Access

An improved MPRNet for the improvement of blurred concrete crack images
Rui Sun, Xuming Li, Gang Liu, et al.
Structures (2025) Vol. 73, pp. 108416-108416
Closed Access

An optimized and precise road crack segmentation network in complex scenarios
Gang Wang, Mingfang He, Genhua Liu, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access

DMCTDet: A Density Map-Guided Composite Transformer Network for Object Detection of UAV Images
Junjie Li, Si Guo, Yi Shi, et al.
Signal Processing Image Communication (2025), pp. 117284-117284
Closed Access

Weber Law Based Approach for Multi-Class Image Forgery Detection
Arslan Akram, Javed Rashid, Arfan Jaffar, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 1, pp. 145-166
Open Access | Times Cited: 3

DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes
Lixiang Sun, Yixin Yang, Zaichun Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12682-12695
Closed Access | Times Cited: 3

Weak feature crack detection in high-resolution concrete dam surface image with LarkMNet
Jianyuan Li, Xiaochun Lu, Ping Zhang, et al.
Measurement (2024) Vol. 238, pp. 115327-115327
Open Access | Times Cited: 3

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
SaĂșl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 3

Investigation on lightweight identification method for pavement cracks
Anxin Meng, Xiaochun Zhang, Xingyu Yu, et al.
Construction and Building Materials (2024) Vol. 447, pp. 138017-138017
Closed Access | Times Cited: 3

FSNet: Enhancing Forest-Fire and Smoke Detection with an Advanced UAV-Based Network
Donghua Wu, Zhongmin Qian, Dongyang Wu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 787-787
Open Access | Times Cited: 2

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: 2

An ultra-lightweight network combining Mamba and frequency-domain feature extraction for pavement tiny-crack segmentation
Zhenguang Zhang, Bo Peng, Tingyu Zhao
Expert Systems with Applications (2024), pp. 125941-125941
Closed Access | Times Cited: 2

A novel real-time pixel-level road crack segmentation network
Rongdi Wang, Hao Wang, Zhenhao He, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 3
Closed Access | Times Cited: 1

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