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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:

TOPO-Loss for continuity-preserving crack detection using deep learning
Bryan German Pantoja-Rosero, Doruk Öner, Mateusz Koziński, et al.
Construction and Building Materials (2022) Vol. 344, pp. 128264-128264
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Damage-augmented digital twins towards the automated inspection of buildings
Bryan German Pantoja-Rosero, Radhakrishna Achanta, Katrin Beyer
Automation in Construction (2023) Vol. 150, pp. 104842-104842
Open Access | Times Cited: 45
Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review
Mayank Mishra, Paulo B. Lourénço
Journal of Cultural Heritage (2024) Vol. 66, pp. 536-550
Open Access | Times Cited: 36
Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
Buildings (2024) Vol. 14, Iss. 1, pp. 220-220
Open Access | Times Cited: 32
Generative modelling of Monopteros and Tholos temples using existing data: The case study of Vesta temple in Tivoli
Annalaura Vuoto, ‪Marco Francesco Funari, Shaghayegh Karımzadeh, et al.
Journal of Cultural Heritage (2025) Vol. 71, pp. 334-345
Open Access | Times Cited: 2
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Nils Hütten, Miguel Alves Gomes, Florian Hölken, et al.
Applied System Innovation (2024) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 13
Pixel-wise crack defect segmentation with dual-encoder fusion network
Suli Bai, Mingyang Ma, Lei Yang, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136179-136179
Closed Access | Times Cited: 8
From classification to segmentation with explainable AI: A study on crack detection and growth monitoring
Florent Forest, Hugo Porta, Devis Tuia, et al.
Automation in Construction (2024) Vol. 165, pp. 105497-105497
Open Access | Times Cited: 6
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 15
Topology-informed deep learning for pavement crack detection: Preserving consistent crack structure and connectivity
Jiayv Jing, Ling Ding, Xu Yang, et al.
Automation in Construction (2025) Vol. 174, pp. 106120-106120
Closed Access
Coronary vessel segmentation in coronary angiography with a multi-scale U-shaped transformer incorporating boundary aggregation and topology preservation
Guangpu Wang, Peng Zhou, Hui Gao, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 2, pp. 025012-025012
Closed Access | Times Cited: 4
A method for asteroid detection using convolutional neural networks on VST images
B. Y. Irureta-Goyena, E. Rachith, S. Hellmich, et al.
Astronomy and Astrophysics (2025) Vol. 694, pp. A49-A49
Closed Access
Automated Image-Based Condition Assessment of Built Environment: A State-of-the-Art Investigation of Damage Characteristics and Detection Requirements
Leila Farahzadi, Ibrahim Odeh, Mahdi Kioumarsi, et al.
Results in Engineering (2025), pp. 104978-104978
Open Access
Cracklab: A high-precision and efficient concrete crack segmentation and quantification network
Zhenwei Yu, Yonggang Shen, Zhilin Sun, et al.
Developments in the Built Environment (2022) Vol. 12, pp. 100088-100088
Closed Access | Times Cited: 18
Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling
Elyas Asadi Shamsabadi, Seyed Mohammad Hassan Erfani, Chang Xu, et al.
Automation in Construction (2023) Vol. 158, pp. 105181-105181
Open Access | Times Cited: 9
Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey
Anju Rani, Daniel Ortíz-Arroyo, Petar Durdevic
Information Fusion (2024) Vol. 112, pp. 102575-102575
Open Access | Times Cited: 3
Mind marginal non-crack regions: Clustering-inspired representation learning for crack segmentation
Zhuangzhuang Chen, Zhuonan Lai, Jie Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 12698-12708
Closed Access | Times Cited: 3
Intelligent fatigue damage tracking and prognostics of composite structures utilizing raw images via interpretable deep learning
Panagiotis Komninos, A.E.C. Verraest, Nick Eleftheroglou, et al.
Composites Part B Engineering (2024), pp. 111863-111863
Open Access | Times Cited: 3
Empirical Case Study on Applying Artificial Intelligence and Unmanned Aerial Vehicles for the Efficient Visual Inspection of Residential Buildings
Hyunkyu Shin, Junghoon Kim, Kyonghoon Kim, et al.
Buildings (2023) Vol. 13, Iss. 11, pp. 2754-2754
Open Access | Times Cited: 8
UAV-Based Image and LiDAR Fusion for Pavement Crack Segmentation
Ahmed Elamin, Ahmed El‐Rabbany
Sensors (2023) Vol. 23, Iss. 23, pp. 9315-9315
Open Access | Times Cited: 7
Topological data analysis-based damage indices for plastered stone masonry walls under cyclic loading
Ketson R. M. dos Santos, Amir Hossein Rezaie, Katrin Beyer
Engineering Structures (2024) Vol. 322, pp. 119088-119088
Closed Access | Times Cited: 2
Partial annotations in active learning for semantic segmentation
Bryan German Pantoja-Rosero, Adrien G. J. Chassignet, Amir Hossein Rezaie, et al.
Automation in Construction (2024) Vol. 168, pp. 105828-105828
Open Access | Times Cited: 2
Application of machine learning models for prediction of rheological properties of wax-modified asphalt binders
Juan Sebastián Useche-Castelblanco, Óscar Javier Reyes Ortiz, Allex E. Álvarez
Construction and Building Materials (2023) Vol. 395, pp. 132352-132352
Open Access | Times Cited: 6
Computer-vision-guided semi-autonomous concrete crack repair for infrastructure maintenance using a robotic arm
Rui Chen, Cheng Zhou, Lili Cheng
AI in Civil Engineering (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 9
TrueDeep: A systematic approach of crack detection with less data
Ram Krishna Pandey, Akshit Achara
Expert Systems with Applications (2023) Vol. 242, pp. 122785-122785
Open Access | Times Cited: 5
Detection and Length Measurement of Cracks Captured in Low Definitions Using Convolutional Neural Networks
Jin Young Kim, Man-Woo Park, Nhut T. Huynh, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3990-3990
Open Access | Times Cited: 4
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