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:

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Tongkun Liu, Bing Li, Du Xiao, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102161-102161
Open Access | Times Cited: 15

Showing 15 citing articles:

GLAE: Global-local Feature Autoencoder for Image Logical Anomaly Detection
jianjie Peng, Junyong Ye, Jiafeng Zhuang, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 5

Anomaly Detection Algorithm Using a Handcrafted Feature Specialized in a Specific Category
S. Kawakami, KENGO ISHIDA, Gosuke Ohashi
Journal of the Japan Society for Precision Engineering (2025) Vol. 91, Iss. 1, pp. 62-66
Closed Access

SegLGAD: Local-to-global industrial anomaly detection with visual segmentation model
Du Xiao, Bing Li, Tongkun Liu, et al.
Optics & Laser Technology (2025) Vol. 186, pp. 112633-112633
Closed Access

3D-MMFN: Multi-level multimodal fusion network for 3D industrial image anomaly detection
Mujtaba Asad, Waqar Azeem, Aftab Ahmad Malik, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103284-103284
Closed Access

An enhanced CLKAN-RF framework for robust anomaly detection in unmanned aerial vehicle sensor data
Chuanjiang Li, Wenhui Xie, Bing Zheng, et al.
Knowledge-Based Systems (2025), pp. 113690-113690
Closed Access

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim, Sion An, Philip Chikontwe, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8591-8599
Open Access | Times Cited: 3

Surface defect detection of stay cable sheath based on autoencoder and auxiliary anomaly location
Qi Liu, Deqiang He, Yixin Shen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102759-102759
Closed Access | Times Cited: 3

Automatic identification of bottlenecks for ambulance passage on urban streets: A deep learning-based approach
Shuo Pan, Zhuo Liu, Hai Yan, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102931-102931
Closed Access | Times Cited: 2

MCAD: Multi-classification anomaly detection with relational knowledge distillation
Zhuo Li, Yifei Ge, Xuebin Yue, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14543-14557
Open Access | Times Cited: 1

A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects
Delong Zhao, Feifei Kong, Nengbin Lv, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4120-4120
Open Access

Multi-input dual-branch reverse distillation for screw surface defect detection
Xueqi Wang, Ruijuan Zheng, Junlong Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108920-108920
Closed Access

Scalable probabilistic deterioration model based on visual inspections and structural attributes from large networks of bridges
Seyed Arya Fakhri, Zachary Hamida, James A. Goulet
Advanced Engineering Informatics (2024) Vol. 64, pp. 103035-103035
Open Access

Simple and effective Frequency-aware Image Restoration for industrial visual anomaly detection
Tongkun Liu, Bing Li, Du Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103064-103064
Closed Access

Dual-flow feature enhancement network for robust anomaly detection in stainless steel pipe welding
Runlong Cao, Jianqi Zhang, Shen Yun, et al.
The Visual Computer (2024)
Closed Access

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