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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:

A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui, Zhaoxiang Liu, Shiguo Lian
IEEE Access (2023) Vol. 11, pp. 55297-55315
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Anomaly Detection in Metal-Textile Industries
Ingo Elsen, Alexander Ferrein, Stefan Schiffer
IntechOpen eBooks (2025)
Closed Access
Anomaly Detection in Industrial Processes: Supervised vs. Unsupervised Learning and the Role of Explainability
Avraam Bardos, Panagiotis Doupidis, Thanasis Kotsiopoulos, et al.
Open Research Europe (2025) Vol. 5, pp. 8-8
Open Access
A Novel MoCo-Based Self-supervised Learning Framework for Solar Panel Defect Detection
Jun Huang, Shamsul Arrieya Ariffin, Yongqiang Chen, et al.
IEEE Access (2025) Vol. 13, pp. 22977-22988
Open Access
Image-based anomaly detection in low-light industrial environments with feature enhancement
Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, et al.
Results in Engineering (2025) Vol. 25, pp. 104309-104309
Open Access
A Hybrid Framework for Robust Anomaly Detection: Integrating Unsupervised and Supervised Learning with Advanced Feature Engineering
Girish Reddy Ginni, Srinivasa L. Chakravarthy
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 2
Open Access
A survey on RGB, 3D, and multimodal approaches for unsupervised industrial image anomaly detection
Yuxuan Lin, Yang Chang, Xuan Tong, et al.
Information Fusion (2025), pp. 103139-103139
Closed Access
An enhanced framework for real-time dense crowd abnormal behavior detection using YOLOv8
Rabia Nasir, Zakia Jalil, Muhammad Nasir, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
Fully unsupervised wear anomaly assessment of aero-bearings enhanced by multi-representation learning of deep features
Tao Shao, Luning Zhang, Shuo Wang, et al.
Tribology International (2024) Vol. 196, pp. 109724-109724
Closed Access | Times Cited: 2
Melanoma classification using generative adversarial network and proximal policy optimization
Xiangui Ju, Chi‐Ho Lin, Suan Lee, et al.
Photochemistry and Photobiology (2024)
Closed Access | Times Cited: 2
ViV-Ano: Anomaly Detection and Localization Combining Vision Transformer and Variational Autoencoder in the Manufacturing Process
Byeonggeun Choi, Jongpil Jeong
Electronics (2022) Vol. 11, Iss. 15, pp. 2306-2306
Open Access | Times Cited: 11
Supervised and unsupervised techniques in textile quality inspections
Hugo Ferreira, David R. Carneiro, Miguel Â. Guimarães, et al.
Procedia Computer Science (2024) Vol. 232, pp. 426-435
Open Access | Times Cited: 1
Fast and efficient computing for deep learning-based defect detection models in lightweight devices
Alparslan Fișne, Alperen Kalay, Süleyman Eken
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
AM-CFDN: semi-supervised anomaly measure-based coal flow foreign object detection network
Weidong Li, Yongbo Yu, Chisheng Wang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
Reconstruction-based visual anomaly detection in wound rotor synchronous machine production using convolutional autoencoders and structural similarity
Markus Kohler, Dionysios Mitsios, Christian Endisch
Journal of Manufacturing Systems (2024) Vol. 78, pp. 410-432
Open Access | Times Cited: 1
YOLOv7-Based Anomaly Detection Using Intensity and NG Types in Labeling in Cosmetic Manufacturing Processes
Seunghyo Beak, Yohan Han, Yeeun Moon, et al.
Processes (2023) Vol. 11, Iss. 8, pp. 2266-2266
Open Access | Times Cited: 2
Novelty detection in underwater inspection videos
Evelyn Batista, Wouter Caarls, Leonardo Mendonza, et al.
(2024), pp. 1-7
Open Access
A Real-Time Siamese Network Based on Knowledge Distillation for Insulator Defect Detection of Overhead Contact Lines
Kehao Yang, Shibin Gao, Long Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-16
Closed Access
Comparison and Application of Deep Learning-Based Anomaly Detection Algorithms for Transparent Lens Defects
Hanbi Kim, Daeho Seo
Journal of Society of Korea Industrial and Systems Engineering (2024) Vol. 47, Iss. 1, pp. 9-19
Closed Access
Exploring Deep Learning-based Unsupervised Image Anomaly Detection and Localization Methods for Industrial Quality Assurance
Pritha Dutta, Rashmiranjan Nayak, Umesh Chandra Pati
(2024), pp. 1-6
Closed Access
Exmapping: Leveraging Domain Expertise for Enhanced Feature Separation in Multi-Modal Anomaly Detection
Shengbing Ren, Zhaofen Wu
(2024)
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
A Novel Unsupervised Anomaly Detection Method Based on Improved Collaborative Discrepancy Optimization
Long Li, Zhiyan Han, Chunlong Liu
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 4576-4581
Closed Access
Hybrid Machine Learning for Automated Road Safety Inspection of Auckland Harbour Bridge
Munish Rathee, Boris Bačić, Maryam Doborjeh
Electronics (2024) Vol. 13, Iss. 15, pp. 3030-3030
Open Access
Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer
Jun‐Hyung Kim, Goo‐Rak Kwon
IEEE Access (2024) Vol. 12, pp. 127604-127613
Open Access
Transformer Encoder-Decoder Mask Reconstruction in Industrial Image Anomaly Localization
Xuhong Luo, Yongchun Liu, Guoming Chu
2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE) (2024) Vol. 19, pp. 724-730
Closed Access
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