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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:

Attention-Gate-based U-shaped Reconstruction Network (AGUR-Net) for color-patterned fabric defect detection
Hongwei Zhang, Shihao Wang, Shuai Lu, et al.
Textile Research Journal (2023) Vol. 93, Iss. 15-16, pp. 3459-3477
Closed Access | Times Cited: 21

Showing 21 citing articles:

Causality-inspired surface defect detection by transferring knowledge from natural images
Fengwei An, Sirui Cao, Shuai Ma, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109984-109984
Closed Access
Progress in Fabric Defect Detection Based on Machine Learning
Ying Wu, Donghui Li, Peiyao Guo, et al.
Journal of Shanghai Jiaotong University (Science) (2025)
Closed Access
A diverse embedding-based composite reconstruction encoder-decoder for color fabric defect detection
Hongwei Zhang, Liping Meng, Shuai Lu, et al.
Expert Systems with Applications (2025), pp. 127261-127261
Closed Access
Defect detection of MicroLED with low distinction based on deep learning
Meiyun Chen, Jinbiao Chen, Cheng Li, et al.
Optics and Lasers in Engineering (2023) Vol. 173, pp. 107924-107924
Closed Access | Times Cited: 14
A review of just‐in‐time learning‐based soft sensor in industrial process
Weiwei Sheng, Jinchuan Qian, Zhihuan Song, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 102, Iss. 5, pp. 1884-1898
Closed Access | Times Cited: 4
Enhanced Deep Stacked CapsNet Ensemble Gazelle Neural Network for multi‐level fabric defect classification
Hattarki Pooja, Shridevi Soma
Coloration Technology (2025)
Closed Access
Fabric defect detection algorithm based on improved YOLOv8
Chen Chang, Qihong Zhou, Shujia Li, et al.
Textile Research Journal (2024)
Closed Access | Times Cited: 3
Expanding the defect image dataset of composite material coating with enhanced image-to-image translation
Xinrui Tao, Hanjun Gao, Kai Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108590-108590
Closed Access | Times Cited: 3
YOLOvT: CSPNet-based attention for a lightweight textile defect detection model
Xiaohan Hu, Ning Dai, Xudong Hu, et al.
Textile Research Journal (2024) Vol. 94, Iss. 9-10, pp. 1021-1039
Closed Access | Times Cited: 2
Optimal Artificial Neural Network-based Fabric Defect Detection and Classification
N. Sajitha, S. Prasanna Priya
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13148-13152
Open Access | Times Cited: 2
WFF-Net: Trainable weight feature fusion convolutional neural networks for surface defect detection
Hongyong Xiao, Wei Zhang, Lei Zuo, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103073-103073
Closed Access | Times Cited: 2
Unsupervised fabric defect detection based on multiscale image reconstruction and structural similarity assessment
Zhiqi Yu, Yang Xu, Yuanfei Wang, et al.
Coloration Technology (2023) Vol. 140, Iss. 6, pp. 827-842
Closed Access | Times Cited: 4
Gaussian–Poisson Mixture Regression model for defects prediction in steelmaking
Xinmin Zhang, Leqing Li, Xuerui Zhang, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 246, pp. 105088-105088
Closed Access | Times Cited: 1
Bearing fault diagnosis based on online symbolic aggregation approximation and streaming deep discriminant analysis
Zixuan Wang, Fang Ye, Jiusun Zeng
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066109-066109
Closed Access | Times Cited: 1
Pixel-level pruning deep supervision UNet++ for detecting fabric defects
Erhu Zhang, Xuejuan Kang
Textile Research Journal (2023) Vol. 93, Iss. 23-24, pp. 5416-5436
Closed Access | Times Cited: 4
Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application
Le Yao, Zeyu Yang, Zheng Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 4
NFCF: Industrial Surface Anomaly Detection with Normalizing Flow Cross-Fitting Network
Wenkang Yang, Kechen Song, Yanyan Wang, et al.
Optics and Lasers in Engineering (2023) Vol. 168, pp. 107655-107655
Closed Access | Times Cited: 2
Development of an intelligent multi-scale defect detection system for aspheric lenses with high accuracy and efficiency
Zhenying Xu, Yutong Yang, Ying-Jun Lei, et al.
Optics and Lasers in Engineering (2024) Vol. 175, pp. 108036-108036
Closed Access
Visual defect inspection of touch screens using multi-angle filtering in curvelet domain
Hong-Dar Lin, Jen-Miao Li, Chou-Hsien Lin
Heliyon (2024) Vol. 10, Iss. 13, pp. e33607-e33607
Open Access
FP‐Flow: Feature pyramid flow model for fabric defect detection
Yuanfei Wang, Yang Xu, Zhiqi Yu, et al.
Coloration Technology (2024)
Closed Access
A mixed‐attention‐based multi‐scale autoencoder algorithm for fabric defect detection
Hongwei Zhang, Yanzi Wu, Shuai Lu, et al.
Coloration Technology (2023) Vol. 140, Iss. 3, pp. 451-466
Closed Access | Times Cited: 1
Improving lightweight model for fabric defect segmentation via contrastive knowledge distillation
Chuangjia Ma, Lizhe Qi, Yuzheng Wang, et al.
(2023) Vol. 1948, pp. 54-54
Closed Access
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