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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:

An Improved YOLOv5 Crack Detection Method Combined with a Bottleneck Transformer
Gui Yu, Xinglin Zhou
Mathematics (2023) Vol. 11, Iss. 10, pp. 2377-2377
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A survey of the vision transformers and their CNN-transformer based variants
Asifullah Khan, Zunaira Rauf, Anabia Sohail, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 2917-2970
Closed Access | Times Cited: 70
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
Advanced Engineering Informatics (2024) Vol. 60, pp. 102388-102388
Closed Access | Times Cited: 15
Deep learning for surface crack detection in civil engineering: A comprehensive review
Haiyan Zhuang, Yikai Cheng, Man Zhou, et al.
Measurement (2025), pp. 116908-116908
Closed Access | Times Cited: 1
LSR-YOLO: A High-Precision, Lightweight Model for Sheep Face Recognition on the Mobile End
Xiwen Zhang, Chuanzhong Xuan, Jing Xue, et al.
Animals (2023) Vol. 13, Iss. 11, pp. 1824-1824
Open Access | Times Cited: 22
Tunnel lining crack detection model based on improved YOLOv5
Shuqian Duan, Minghuan Zhang, Shili Qiu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105713-105713
Closed Access | Times Cited: 13
YOLOv8-PD: an improved road damage detection algorithm based on YOLOv8n model
Jiayi Zeng, Zhong Han
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
A Lightweight Detection Method for Blueberry Fruit Maturity Based on an Improved YOLOv5 Algorithm
Feng Xiao, Haibin Wang, Yueqin Xu, et al.
Agriculture (2023) Vol. 14, Iss. 1, pp. 36-36
Open Access | Times Cited: 19
YOLO9tr: a lightweight model for pavement damage detection utilizing a generalized efficient layer aggregation network and attention mechanism
Sompote Youwai, Achitaphon Chaiyaphat, Pawarotorn Chaipetch
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 5
Closed Access | Times Cited: 5
An Intelligent Detection and Classification Model Based on Computer Vision for Pavement Cracks in Complicated Scenarios
Yue Wang, Qingjie Qi, Lifeng Sun, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2909-2909
Open Access | Times Cited: 4
Crack Width Recognition of Tunnel Tube Sheet Based on YOLOv8 Algorithm and 3D Imaging
Xunqian Xu, Qi Li, Shue Li, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 531-531
Open Access | Times Cited: 3
Damage detection in concrete structures with multi-feature backgrounds using the YOLO network family
Rakesh Raushan, Vaibhav Singhal, Rajib Kumar Jha
Automation in Construction (2024) Vol. 170, pp. 105887-105887
Closed Access | Times Cited: 3
GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
Yue Zhao, Bo-Lun Chen, Bushi Liu, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7437-7437
Open Access | Times Cited: 8
Research on breast cancer pathological image classification method based on wavelet transform and YOLOv8
Yunfeng Yang, Jiaqi Wang
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 677-687
Closed Access | Times Cited: 2
Improving Object Detection in YOLOv8n with the C2f-f Module and Multi-Scale Fusion Reconstruction
Hui Li, Aoyun Wu, Zhiyu Jiang, et al.
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2024), pp. 374-379
Closed Access | Times Cited: 2
DGAP-YOLO: A Crack Detection Method Based on UAV Images and YOLO
Zhongbo Sun, Jian Liu, Pengfei Li, et al.
Lecture notes in computer science (2024), pp. 482-492
Closed Access | Times Cited: 2
Co-CrackSegment: A New Corporative Deep Learning Framework for Pixel-Level Semantic Segmentation of Concrete Cracks
Nizar Faisal Alkayem, Ali Mayya, Xin Zhang, et al.
(2024)
Open Access | Times Cited: 2
Co-CrackSegment: A New Collaborative Deep Learning Framework for Pixel-Level Semantic Segmentation of Concrete Cracks
Nizar Faisal Alkayem, Ali Mayya, Lei Shen, et al.
Mathematics (2024) Vol. 12, Iss. 19, pp. 3105-3105
Open Access | Times Cited: 2
Auxcoformer: Auxiliary and Contrastive Transformer for Robust Crack Detection in Adverse Weather Conditions
Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo
Mathematics (2024) Vol. 12, Iss. 5, pp. 690-690
Open Access | Times Cited: 1
SAB-YOLOv5: An Improved YOLOv5 Model for Permanent Magnetic Ferrite Magnet Rotor Detection
Bo Yu, Qi Li, Wenhua Jiao, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 957-957
Open Access | Times Cited: 1
YOLOv8-PD:An Improved Road damage detection algorithm based on YOLOv8n model
Jiayi zeng, Zhong Han
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Carbonate reservoir fracture‐cavity system identification based on the improved YOLOv5s deep learning algorithm
Xiaoyong Feng, Kai Zhao, Jianguo Zhang, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 6, pp. 2643-2660
Open Access | Times Cited: 1
Research on YOLOv5s Improved Algorithm for Pavement Crack Detection in Complex Environments
Xiao Wu, Tao Ma, Qipeng Zhao, et al.
IEEE Access (2024) Vol. 12, pp. 122452-122461
Open Access | Times Cited: 1
YOLOv8-CDD:An Improved Concrete Defect Detection Method Combined CNN with Transformer
C. Wang, Bo Chen, Yonglong Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015409-015409
Closed Access | Times Cited: 1
Scd-yolo: a novel object detection method for efficient road crack detection
Kuiye Ding, Zhenhui Ding, Zengbin Zhang, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
A Novel Deep Learning Approach for Yarn Hairiness Characterization Using an Improved YOLOv5 Algorithm
Filipe Pereira, Helena Lopes, Leandro Pinto, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 149-149
Open Access | Times Cited: 1
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