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:

An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures
Muhammad Sohaib, Saima Jamil, Jong-Myon Kim
Sensors (2024) Vol. 24, Iss. 1, pp. 257-257
Open Access | Times Cited: 15

Showing 15 citing articles:

Lightweight object detection network for multi‐damage recognition of concrete bridges in complex environments
Tianyong Jiang, Lingyun Li, Bijan Samali, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 23, pp. 3646-3665
Open Access | Times Cited: 13

Triple-stage crack detection in stone masonry using YOLO-ensemble, MobileNetV2U-net, and spectral clustering
Ali Mayya, Nizar Faisal Alkayem
Automation in Construction (2025) Vol. 172, pp. 106045-106045
Closed Access

Research on cherry maturity detection based on improved DS-YOLOV8
You Song, Changqing Zhang, Chenchen Wang, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2

Dmg2Former-AR: Vision Transformers with Adaptive Rescaling for High-Resolution Structural Visual Inspection
Kareem Eltouny, Seyed Omid Sajedi, Xiao Liang
Sensors (2024) Vol. 24, Iss. 18, pp. 6007-6007
Open Access | Times Cited: 2

Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning
Muhammad Sohaib, Muhammad Arif, Jong-Myon Kim
Buildings (2024) Vol. 14, Iss. 12, pp. 3928-3928
Open Access | Times Cited: 2

MixSegNet: A Novel Crack Segmentation Network Combining CNN and Transformer
Yang Zhou, Ali Raza, Norrima Mokhtar, et al.
IEEE Access (2024) Vol. 12, pp. 111535-111545
Open Access | Times Cited: 1

CiC-NET: a real-time semantic segmentation network for dam surface crack detection
Linjing Li, Hao Zhao, Ran Liu, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

Survey of automated crack detection methods for asphalt and concrete structures
Oumaima Khlifati, Khadija Baba, Bassam A. Tayeh
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 1

Utilizing pretrained convolutional neural networks for crack detection and geometric feature recognition in concrete surface images
Miao Su, Jingkai Wan, Qilin Zhou, et al.
Journal of Building Engineering (2024), pp. 111386-111386
Closed Access | Times Cited: 1

Recognition of Concrete imperfections in Underwater Pile Foundation Based on Binocular Vision and YOLOv8
Xunqian Xu, Qi Li, Zhongbao Du, et al.
KSCE Journal of Civil Engineering (2024), pp. 100075-100075
Open Access | Times Cited: 1

Implementation of a Low-Cost Comprehensive Pavement Inspection System
Lizette Tello, Sergio Acero, Johannio Marulanda, et al.
(2024)
Closed Access

Detection and Classification of Concrete Pavement Cracks Based on Residual Neural Networks and the Bisection Method
zhi yu, Qiong Wu, Changhua Tang, et al.
Research Square (Research Square) (2024)
Closed Access

Implementation of a low-cost comprehensive pavement inspection system
Lizette Tello-Cifuentes, Sergio Acero, Johannio Marulanda, et al.
Transportation Engineering (2024) Vol. 18, pp. 100274-100274
Open Access

Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOV10-ViT Framework
Ali Mayya, Nizar Faisal Alkayem
Sensors (2024) Vol. 24, Iss. 24, pp. 8095-8095
Open Access

CL-YOLOv8: Crack Detection Algorithm for Fair-Faced Walls Based on Deep Learning
Qinjun Li, Guoyu Zhang, Ping Yang
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9421-9421
Open Access

Page 1

Scroll to top