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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:

Deep CNN-based concrete cracks identification and quantification using image processing techniques
Madhuri Gonthina, Renuka Chamata, Jhanshi Duppalapudi, et al.
Asian Journal of Civil Engineering (2022) Vol. 24, Iss. 3, pp. 727-740
Closed Access | Times Cited: 11

Showing 11 citing articles:

Efficient hybrid ensembles of CNNs and transfer learning models for bridge deck image-based crack detection
Ali Mayya, Nizar Faisal Alkayem, Lei Shen, et al.
Structures (2024) Vol. 64, pp. 106538-106538
Closed Access | Times Cited: 9
Explainable XGBoost machine learning model for prediction of ultimate load and free end slip of GFRP rod glued-in timber joints through a pull-out test under various harsh environmental conditions
Nima Tajik, Alireza Mahmoudian, Mostafa Mohammadzadeh Taleshi, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 141-157
Closed Access | Times Cited: 20
A remaining useful lifetime prediction model for concrete structures using Mann-Whitney U test state indicator and deep learning
Tuan-Khai Nguyen, Zahoor Ahmad, Duc-Thuan Nguyen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111795-111795
Closed Access | Times Cited: 6
A survey on crack detection in concrete surface using image processing and machine learning
R. Kirthiga, S. Elavenil
Journal of Building Pathology and Rehabilitation (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 13
Artificial Intelligence and Deep Learning in Civil Engineering
Ayla Ocak, Si̇nan Meli̇h Ni̇gdeli̇, Gebrai̇l Bekdaş, et al.
Studies in systems, decision and control (2023), pp. 265-288
Closed Access | Times Cited: 11
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: 4
A performance-driven evaluation of deep learning for concrete crack detection with varying dataset sizes and training epochs: real-world implications for infrastructure monitoring
Shashi Kumar Bussa, Narendra Kumar Boppana, Bhupesh Deka
Asian Journal of Civil Engineering (2025)
Closed Access
UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review
Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias
Drones (2024) Vol. 8, Iss. 7, pp. 341-341
Open Access | Times Cited: 3
Characterization and optimization of mechanical properties in design materials using convolutional neural networks and particle swarm optimization
Mohamad Wijayanuddin Ali, Mohammad Hussein
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 3, pp. 2443-2457
Closed Access | Times Cited: 4
Design of Convolution Neural Network for Crack Detection
D. Malathi, Smitha Gautham, M. Dineshkumar, et al.
2022 6th International Conference on Devices, Circuits and Systems (ICDCS) (2024), pp. 60-66
Closed Access
An Evaluation of Digital Image Sampling and Quantization for Serial and Parallel Image Processing
P. Balakumar, Pawan Wawage, Varun Narayan Mishra, et al.
(2023), pp. 1-8
Closed Access
Binalarda Çatlak Kontrolünde CNN Tabanlı Görüntü İşleme Ölçüm Sisteminin Kullanılması
İsmail Serkan Üncü, Mehmet Kayakuş, Celal Alp Yavru, et al.
Gazi Journal of Engineering Sciences (2023) Vol. 9, Iss. 4, pp. 257-267
Open Access
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