
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:
A hybrid deep learning pavement crack semantic segmentation
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106142-106142
Closed Access | Times Cited: 67
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106142-106142
Closed Access | Times Cited: 67
Showing 1-25 of 67 citing articles:
PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction
Fizzah Arshad, Muhammad Mateen, Shaukat Hayat, et al.
Alexandria Engineering Journal (2023) Vol. 78, pp. 406-418
Open Access | Times Cited: 44
Fizzah Arshad, Muhammad Mateen, Shaukat Hayat, et al.
Alexandria Engineering Journal (2023) Vol. 78, pp. 406-418
Open Access | Times Cited: 44
An attention-based progressive fusion network for pixelwise pavement crack detection
Mingyang Ma, Lei Yang, Yanhong Liu, et al.
Measurement (2024) Vol. 226, pp. 114159-114159
Closed Access | Times Cited: 13
Mingyang Ma, Lei Yang, Yanhong Liu, et al.
Measurement (2024) Vol. 226, pp. 114159-114159
Closed Access | Times Cited: 13
Network for robust and high-accuracy pavement crack segmentation
Yingchao Zhang, Cheng Liu
Automation in Construction (2024) Vol. 162, pp. 105375-105375
Closed Access | Times Cited: 12
Yingchao Zhang, Cheng Liu
Automation in Construction (2024) Vol. 162, pp. 105375-105375
Closed Access | Times Cited: 12
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Dariush Amirkhani, Mohand Saïd Allili, Loucif Hebbache, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10483-10505
Closed Access | Times Cited: 10
Dariush Amirkhani, Mohand Saïd Allili, Loucif Hebbache, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10483-10505
Closed Access | Times Cited: 10
Automatic crack detection and 3D reconstruction of structural appearance using underwater wall-climbing robot
Zhenwei Yu, Yonggang Shen, Yiping Zhang, et al.
Automation in Construction (2024) Vol. 160, pp. 105322-105322
Closed Access | Times Cited: 9
Zhenwei Yu, Yonggang Shen, Yiping Zhang, et al.
Automation in Construction (2024) Vol. 160, pp. 105322-105322
Closed Access | Times Cited: 9
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
Suli Bai, Mingyang Ma, Lei Yang, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136179-136179
Closed Access | Times Cited: 8
A lightweight feature attention fusion network for pavement crack segmentation
Yucheng Huang, Yuchen Liu, Fang Liu, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 18, pp. 2811-2825
Open Access | Times Cited: 8
Yucheng Huang, Yuchen Liu, Fang Liu, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 18, pp. 2811-2825
Open Access | Times Cited: 8
CNN-based network with multi-scale context feature and attention mechanism for automatic pavement crack segmentation
Liang Jia, Xingyu Gu, Dong Jiang, et al.
Automation in Construction (2024) Vol. 164, pp. 105482-105482
Closed Access | Times Cited: 8
Liang Jia, Xingyu Gu, Dong Jiang, et al.
Automation in Construction (2024) Vol. 164, pp. 105482-105482
Closed Access | Times Cited: 8
Asymmetric dual-decoder-U-Net for pavement crack semantic segmentation
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Automation in Construction (2023) Vol. 156, pp. 105138-105138
Closed Access | Times Cited: 18
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Automation in Construction (2023) Vol. 156, pp. 105138-105138
Closed Access | Times Cited: 18
A Review of Computer Vision-Based Crack Detection Methods in Civil Infrastructure: Progress and Challenges
Qi Yuan, Yufeng Shi, Mingyue Li
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2910-2910
Open Access | Times Cited: 7
Qi Yuan, Yufeng Shi, Mingyue Li
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2910-2910
Open Access | Times Cited: 7
OUR-Net: A Multi-Frequency Network With Octave Max Unpooling and Octave Convolution Residual Block for Pavement Crack Segmentation
Pengtao Li, Meihua Wang, Zhun Fan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 13833-13848
Closed Access | Times Cited: 6
Pengtao Li, Meihua Wang, Zhun Fan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 13833-13848
Closed Access | Times Cited: 6
EMG-YOLO: road crack detection algorithm for edge computing devices
Yan Xing, Xu Han, Xiaodong Pan, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 6
Yan Xing, Xu Han, Xiaodong Pan, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 6
A unified 2D medical image segmentation network (SegmentNet) through distance-awareness and local feature extraction
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 431-449
Closed Access | Times Cited: 4
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 431-449
Closed Access | Times Cited: 4
Comparative analysis of deep learning models for crack detection in buildings
S. Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
S. Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Adaptive Learning Filters–Embedded Vision Transformer for Pixel-Level Segmentation of Low-Light Concrete Cracks
Qi Shen, Binggang Xiao, Hongmei Mi, et al.
Journal of Performance of Constructed Facilities (2025) Vol. 39, Iss. 3
Closed Access
Qi Shen, Binggang Xiao, Hongmei Mi, et al.
Journal of Performance of Constructed Facilities (2025) Vol. 39, Iss. 3
Closed Access
DCMA-Net: A dual channel multi-scale feature attention network for crack image segmentation
Yidan Yan, Junding Sun, Hongyuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110411-110411
Closed Access
Yidan Yan, Junding Sun, Hongyuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110411-110411
Closed Access
Crack segmentation‐guided measurement with lightweight distillation network on edge device
Jianqi Zhang, Ling Ding, Wei Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Jianqi Zhang, Ling Ding, Wei Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Advancing road safety: A lightweight feature fusion model for robust road crack segmentation
Ali Khan, Somaiya Khan, Mohammed A. M. Elhassan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103262-103262
Closed Access
Ali Khan, Somaiya Khan, Mohammed A. M. Elhassan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103262-103262
Closed Access
Surface defect size measurement of planar optical components based on image segmentation
Junpeng Huang, Wang Zhang, Weilong Jin, et al.
Optics & Laser Technology (2025) Vol. 187, pp. 112818-112818
Closed Access
Junpeng Huang, Wang Zhang, Weilong Jin, et al.
Optics & Laser Technology (2025) Vol. 187, pp. 112818-112818
Closed Access
Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions
Claudio Urrea, M. Velez
Sensors (2025) Vol. 25, Iss. 7, pp. 2043-2043
Open Access
Claudio Urrea, M. Velez
Sensors (2025) Vol. 25, Iss. 7, pp. 2043-2043
Open Access
A three-stage pavement image crack detection framework with positive sample augmentation
Qingsong Song, Li Liu, Na Lü, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107624-107624
Closed Access | Times Cited: 12
Qingsong Song, Li Liu, Na Lü, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107624-107624
Closed Access | Times Cited: 12
Feasibility of Advanced Reflective Cracking Prediction and Detection for Pavement Management Systems Using Machine Learning and Image Detection
Sung-Pil Shin, Kyungnam Kim, Tri Ho Minh Le
Buildings (2024) Vol. 14, Iss. 6, pp. 1808-1808
Open Access | Times Cited: 4
Sung-Pil Shin, Kyungnam Kim, Tri Ho Minh Le
Buildings (2024) Vol. 14, Iss. 6, pp. 1808-1808
Open Access | Times Cited: 4
Lightweight convolutional neural network driven by small data for asphalt pavement crack segmentation
Liang Jia, Qipeng Zhang, Xingyu Gu
Automation in Construction (2023) Vol. 158, pp. 105214-105214
Closed Access | Times Cited: 10
Liang Jia, Qipeng Zhang, Xingyu Gu
Automation in Construction (2023) Vol. 158, pp. 105214-105214
Closed Access | Times Cited: 10
Automatic segmentation of curtain wall frame using a context collaboration pyramid network
Decheng Wu, Longqi Cheng, Rui Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108309-108309
Closed Access | Times Cited: 3
Decheng Wu, Longqi Cheng, Rui Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108309-108309
Closed Access | Times Cited: 3