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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:

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, et al.
Medical Image Analysis (2019) Vol. 54, pp. 30-44
Closed Access | Times Cited: 1110

Showing 26-50 of 1110 citing articles:

Mixed supervision for surface-defect detection: From weakly to fully supervised learning
Jakob Božič, Domen Tabernik, Danijel Skočaj
Computers in Industry (2021) Vol. 129, pp. 103459-103459
Open Access | Times Cited: 194
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel, Patrick Mertens, Dorit Merhof
2022 26th International Conference on Pattern Recognition (ICPR) (2021), pp. 6726-6733
Open Access | Times Cited: 176
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 1829-1838
Open Access | Times Cited: 170
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Tao Jiang, Yunsong Li, Weiying Xie, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 7, pp. 4666-4679
Closed Access | Times Cited: 155
A State-of-the-Art Review on Image Synthesis With Generative Adversarial Networks
Lei Wang, Wei Chen, Wen‐Jia Yang, et al.
IEEE Access (2020) Vol. 8, pp. 63514-63537
Open Access | Times Cited: 154
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu, Haixu Wu, Jianmin Wang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 152
Recent advances in surface defect inspection of industrial products using deep learning techniques
Xiaoqing Zheng, Song Zheng, Yaguang Kong, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 113, Iss. 1-2, pp. 35-58
Closed Access | Times Cited: 150
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. S2
Open Access | Times Cited: 150
AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Julian Wyatt, Adam Leach, Sebastian M. Schmon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 649-655
Open Access | Times Cited: 150
Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Aram You, Jin Kuk Kim, Ik Hee Ryu, et al.
Eye and Vision (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 138
Image synthesis with adversarial networks: A comprehensive survey and case studies
Pourya Shamsolmoali, Masoumeh Zareapoor, Éric Granger, et al.
Information Fusion (2021) Vol. 72, pp. 126-146
Open Access | Times Cited: 136
Label-Free Segmentation of COVID-19 Lesions in Lung CT
Qingsong Yao, Li Xiao, Peihang Liu, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2808-2819
Open Access | Times Cited: 122
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102475-102475
Open Access | Times Cited: 110
Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review
Alireza Saberironaghi, Jing Ren, Moustafa El–Gindy
Algorithms (2023) Vol. 16, Iss. 2, pp. 95-95
Open Access | Times Cited: 103
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-21
Open Access | Times Cited: 101
Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment
Zhili Zhou, Xiaohua Dong, Zhetao Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19772-19781
Closed Access | Times Cited: 98
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model
Peng Chen, Hongyun Liu, Ruyue Xin, et al.
The Computer Journal (2022) Vol. 65, Iss. 11, pp. 2909-2925
Closed Access | Times Cited: 97
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, et al.
Lecture notes in computer science (2022), pp. 474-489
Closed Access | Times Cited: 85
Steel Surface Defect Recognition: A Survey
Xin Wen, Jvran Shan, Yu He, et al.
Coatings (2022) Vol. 13, Iss. 1, pp. 17-17
Open Access | Times Cited: 83
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization
Paul Bergmann, Kilian Batzner, Michael Fauser, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 4, pp. 947-969
Open Access | Times Cited: 82
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 2591-2601
Open Access | Times Cited: 82
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding, Guansong Pang, Chunhua Shen
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7378-7388
Open Access | Times Cited: 80
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
Kilian Batzner, Lars Heckler, Rebecca König
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Open Access | Times Cited: 74
A holistic overview of deep learning approach in medical imaging
Rammah Yousef, Gaurav Gupta, Nabhan Yousef, et al.
Multimedia Systems (2022) Vol. 28, Iss. 3, pp. 881-914
Open Access | Times Cited: 71
Deep CNN-based visual defect detection: Survey of current literature
Shashi Bhushan Jha, Radu F. Babiceanu
Computers in Industry (2023) Vol. 148, pp. 103911-103911
Closed Access | Times Cited: 69

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