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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:

DefectDet: A deep learning architecture for detection of defects with extreme aspect ratios in ultrasonic images
Duje Medak, Luka Posilović, Marko Subašić, et al.
Neurocomputing (2021) Vol. 473, pp. 107-115
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Alexander L. Bowler, Michael P. Pound, Nicholas J. Watson
Ultrasonics (2022) Vol. 124, pp. 106776-106776
Open Access | Times Cited: 44
A survey of real-time surface defect inspection methods based on deep learning
Yi Liu, Changsheng Zhang, Xingjun Dong
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 12131-12170
Closed Access | Times Cited: 25
Real-time detection of plastic part surface defects using deep learning- based object detection model
Miraç Tuba Çelik, Seher Arslankaya, Aytaç Yıldız
Measurement (2024) Vol. 235, pp. 114975-114975
Closed Access | Times Cited: 7
A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics
Vedran Tunukovic, Shaun McKnight, Ehsan Mohseni, et al.
NDT & E International (2024) Vol. 144, pp. 103094-103094
Open Access | Times Cited: 6
Domain adaptation via Transferable Swin Transformer for tire defect detection
Yulong Zhang, Yilin Wang, Zhiqiang Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106109-106109
Closed Access | Times Cited: 13
Leveraging Segment Anything Model (SAM) for Weld Defect Detection in Industrial Ultrasonic B-Scan Images
Amir-M. Naddaf-Sh, Vinay S. Baburao, Hassan Zargarzadeh
Sensors (2025) Vol. 25, Iss. 1, pp. 277-277
Open Access
Multiobjective Backbone Network Architecture Search Based on Transfer Learning in Steel Defect Detection
Tianchen Zhao, Xianpeng Wang, Xiangman Song
Neurocomputing (2025), pp. 130012-130012
Closed Access
DiffUT: Diffusion-based Augmentation for Limited Ultrasonic Testing Defects in High-Speed Rail
Qian Zhang, Kang Tian, Lin Luo, et al.
NDT & E International (2025), pp. 103388-103388
Closed Access
Multi Model Machine Learning Approach for Automated Data Analysis of Carbon Fiber Reinforced Polymer Composites
Vedran Tunukovic, Shaun McKnight, Amine Hifi, et al.
NDT & E International (2025), pp. 103392-103392
Open Access
Utilizing improved YOLOv8 based on SPD-BRSA-AFPN for ultrasonic phased array non-destructive testing
H. Chen, Jianfeng Tao
Ultrasonics (2024) Vol. 142, pp. 107382-107382
Closed Access | Times Cited: 3
Application of Object Detection Algorithms in Non-Destructive Testing of Pressure Equipment: A Review
Wang Wei-hua, Jiugong Chen, Gangsheng Han, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5944-5944
Open Access | Times Cited: 3
A Deep Learning-Based Ultrasonic Diffraction Data Analysis Method for Accurate Automatic Crack Sizing
Qinnan Fei, Jiancheng Cao, Wanli Xu, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4619-4619
Open Access | Times Cited: 2
Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks
Azamatjon Kakhramon ugli Malikov, Manuel Fernando Flores Cuenca, Beomjin Kim, et al.
Journal of Visualization (2023) Vol. 26, Iss. 5, pp. 1067-1083
Open Access | Times Cited: 6
Ultrasonic Features for Evaluation of Adhesive Joints: A Comparative Study of Interface Defects
Damira Smagulova, Bengisu Yılmaz, Elena Jasiūnienė
Sensors (2023) Vol. 24, Iss. 1, pp. 176-176
Open Access | Times Cited: 6
Automated Weld Defect Detection in Industrial Ultrasonic B-Scan Images Using Deep Learning
Amir-M. Naddaf-Sh, Vinay S. Baburao, Hassan Zargarzadeh
NDT (2024) Vol. 2, Iss. 2, pp. 108-127
Open Access | Times Cited: 1
Automated weld defect segmentation from phased array ultrasonic data based on U-net architecture
Sen Zhang, Yansong Zhang
NDT & E International (2024) Vol. 146, pp. 103165-103165
Closed Access | Times Cited: 1
A laser ultrasonic intelligent inspection method for metal surface defects based on digital twin model
Yunhao Zhang, Hong Zhou, Rao Yao, et al.
Measurement (2024) Vol. 237, pp. 115219-115219
Closed Access | Times Cited: 1
Segmenting hydrogen‐induced cracking defects in steel through scanning acoustic microscopy and deep neural networks
Thi Thu Ha Vu, Tan Hung Vo, Le Hai Tran, et al.
Engineering Reports (2024)
Open Access | Times Cited: 1
Quantitative detection of the width and depth of subsurface defects in curved structures using ultrasonic Rayleigh waves
Zhiqi Xu, Hongkai Chen, Si-Yu Feng, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-19
Closed Access | Times Cited: 1
Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors
Seyedhamidreza Alaie, Subhi J. Al’Aref
Machine Learning with Applications (2023) Vol. 13, pp. 100477-100477
Open Access | Times Cited: 3
Memory linked knowledge domain transfer few-shot learning for thermography nondestructive evaluation system
Jianguo Xue, Bin Gao, Guohao Liu, et al.
Infrared Physics & Technology (2023) Vol. 132, pp. 104718-104718
Closed Access | Times Cited: 2
Quality Assessment of Metal Additive Manufactured Parts by a Multiscale Convolutional Fuzzy Neural Network Using Ultrasound Images as Input Data
Chun-Hui Lin, Cheng‐Jian Lin, Shyh-Hau Wang
IEEE Access (2023) Vol. 11, pp. 121314-121324
Open Access | Times Cited: 2
Visual inspection of surface defects of extreme size based on an advanced FCOS
Hui Shi, Rui Lai, Gangyan Li, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 3
Promptable model for premium connection sealing surface detection and segmentation
Shuai Yang, Jianchun Fan, Chunmeng Tian, et al.
(2024), pp. 14-14
Closed Access
Automated detection of multi-type defects of ultrasonic TFM images for aeroengine casing rings with complex sections based on deep learning
Shanyue Guan, Xiaokai Wang, Lin Hua, et al.
Chinese Journal of Aeronautics (2024), pp. 103379-103379
Open Access
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