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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:

Efficient Fused-Attention Model for Steel Surface Defect Detection
Ching-Chi Yeung, Kin‐Man Lam
IEEE Transactions on Instrumentation and Measurement (2022), pp. 1-1
Closed Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach
Fatih Demir, Koray Şener Parlak
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4255-4255
Open Access
Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things
Meixia Fu, Jiansheng Wu, Qu Wang, et al.
IET Signal Processing (2023) Vol. 17, Iss. 5
Open Access | Times Cited: 10
A multiple feature-maps interaction pyramid network for defect detection of steel surface
Xinyue Zhao, Jindong Zhao, Zaixing He
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055401-055401
Closed Access | Times Cited: 9
A steel surface defect detection model based on graph neural networks
Wenkai Pang, Zhi Tan
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046201-046201
Closed Access | Times Cited: 3
High-speed and accurate cascade detection method for chip surface defects
X. Zhu, Shuo Wang, J. L. Su, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 3
Robustness defect detection: Improving the performance of surface defect detection in interference environment
Qianwen Ye, Yiwei Dong, Xiaoxin Zhang, et al.
Optics and Lasers in Engineering (2024) Vol. 175, pp. 108035-108035
Closed Access | Times Cited: 3
Steel strip surface defect detection based on multiscale feature sensing and adaptive feature fusion
Zengzhen Mi, Yan Gao, Xingyuan Xu, et al.
AIP Advances (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 3
Metallic surface defect recognition network based on global feature aggregation and dual context decoupled head
Kefei Qian, Lai Zou, Zhiwen Wang, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111589-111589
Closed Access | Times Cited: 3
Steel Surface Defect Detection Method Based on Improved YOLOv9 Network
Jialin Zou, Hongcheng Wang
IEEE Access (2024) Vol. 12, pp. 124160-124170
Open Access | Times Cited: 3
Reconstruction of 3-D CAD Model of Workpiece With Internal Defect Based on Industry CT Image
Chao Long, Cheng Fang, Zhongming Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 8
Real-Time Terahertz Characterization of Minor Defects by the YOLOX-MSA Network
Xingyu Wang, Zhen Zhang, Yafei Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 13
An adaptive loss weighting multi-task network with attention-guide proposal generation for small size defect inspection
Huangyuan Wu, Bin Li, Lianfang Tian, et al.
The Visual Computer (2023) Vol. 40, Iss. 2, pp. 681-698
Closed Access | Times Cited: 7
Unleashing the power of AI in detecting metal surface defects: an optimized YOLOv7-tiny model approach
Shuaiting Chen, Feng Zhou, Gan Gao, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1727-e1727
Open Access | Times Cited: 2
Part Defect Detection Method Based on Channel-Aware Aggregation and Re-Parameterization Asymptotic Module
Enyuan Bian, Mingfeng Yin, Shiyu Fu, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 473-473
Open Access | Times Cited: 2
CFE-YOLOv8s: Improved YOLOv8s for Steel Surface Defect Detection
Shuxin Yang, Yang Xie, Jianqing Wu, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2771-2771
Open Access | Times Cited: 2
The Steel Surface Multiple Defect Detection and Size Measurement System Based on Improved YOLOv5
Yiming Xu, Ziheng Ding, Li Wang, et al.
Journal of Electrical and Computer Engineering (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 4
Enhanced Non-Maximum Suppression for the Detection of Steel Surface Defects
Seonghwan Kang, Vikas Palakonda, Il‐Min Kim, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 3898-3898
Open Access | Times Cited: 4
Incremental transfer learning for robot drilling state monitoring under multiple working conditions
Jian Shi, Xingwei Zhao, Bo Tao, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Systematic Review of Steel Surface Defect Detection Methods on the Open Access Datasets of Severstal and the Northeastern University (NEU)
Emine Aşar, Atilla Özgür
Engineering materials (2024), pp. 37-72
Closed Access | Times Cited: 1
Steel Surface Defect Detection Based on Improved YOLOv7
Ming Li, Lisheng Wei, Bowen Zheng
(2024), pp. 51-55
Closed Access | Times Cited: 1
Maximizing Steel Slice Defect Detection: Integrating ResNet101 Deep Features with SVM via Bayesian Optimization
Prabira Kumar Sethy, Laxminarayana Korada, Santi Kumari Behera, et al.
Systems and Soft Computing (2024) Vol. 6, pp. 200170-200170
Open Access | Times Cited: 1
FC-DETR: High-precision end-to-end surface defect detector based on foreground supervision and cascade refined hybrid matching
Zilin Xia, Yufan Zhao, Jinan Gu, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 126142-126142
Closed Access | Times Cited: 1
An Improved YOLOv8 Model for Strip Steel Surface Defect Detection
Jinwen Wang, Ting Chen, Xinke Xu, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 52-52
Open Access | Times Cited: 1
Toward TR-PCB Bubble Detection via an Efficient Attention Segmentation Network and Dynamic Threshold
Jiaming Zhou, Qing Zhu, Yaonan Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 3
CoRe: Contrastive and Restorative Self-Supervised Learning for Surface Defect Inspection
Huangyuan Wu, Bin Li, Lianfang Tian, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 3

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