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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:

Self-supervised anomaly detection in computer vision and beyond: A survey and outlook
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
Neural Networks (2024) Vol. 172, pp. 106106-106106
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz Ziv, Yann LeCun
Entropy (2024) Vol. 26, Iss. 3, pp. 252-252
Open Access | Times Cited: 30
Unsupervised Anomaly Detection for Improving Adversarial Robustness of 3D Object Detection Models
Mumuxin Cai, Xupeng Wang, Ferdous Sohel, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 236-236
Open Access | Times Cited: 2
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection
Hadi Hojjati, Narges Armanfard
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 8, pp. 3739-3750
Open Access | Times Cited: 19
Anomalies, representations, and self-supervision
Barry M. Dillon, Luigi Favaro, Friedrich Feiden, et al.
SciPost Physics Core (2024) Vol. 7, Iss. 3
Open Access | Times Cited: 7
Surveying the deep: A review of computer vision in the benthos
Cameron Trotter, Huw J. Griffiths, Rowan J. Whittle
Ecological Informatics (2025), pp. 102989-102989
Open Access
Audio-visual self-supervised representation learning: A survey
Manal S. Alsuwat, Sarah Al-Shareef, Manal Alghamdi
Neurocomputing (2025), pp. 129750-129750
Closed Access
Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods
Panagiota‐Kyriaki Revelou, Efstathia Tsakali, Anthimia Batrinou, et al.
Foods (2025) Vol. 14, Iss. 6, pp. 922-922
Open Access
Zero-shot 3D anomaly detection via online voter mechanism
W. J. Zheng, Ke Xiao, Wenzhong Guo
Neural Networks (2025), pp. 107398-107398
Closed Access
ResNet-AE for Radar Signal Anomaly Detection
Donghang Cheng, Youchen Fan, Shengliang Fang, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6249-6249
Open Access | Times Cited: 15
Enhancing IoT Network Security: Unveiling the Power of Self-Supervised Learning against DDoS Attacks
Josue Genaro Almaraz-Rivera, José Antonio Cantoral-Ceballos, Juan Felipe Botero
Sensors (2023) Vol. 23, Iss. 21, pp. 8701-8701
Open Access | Times Cited: 5
Context-aware feature reconstruction for class-incremental anomaly detection and localization
Jingxuan Pang, Chunguang Li
Neural Networks (2024) Vol. 181, pp. 106788-106788
Closed Access | Times Cited: 1
It is Not Time to Kick Out Radiologists
Yuta Nakamura, Yuki Sonoda, Yosuke Yamagishi, et al.
Asian Bioethics Review (2024) Vol. 17, Iss. 1, pp. 9-15
Open Access | Times Cited: 1
A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks
Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim, et al.
Gels (2024) Vol. 10, Iss. 8, pp. 517-517
Open Access | Times Cited: 1
Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients
Peng Huang, Jiawen Shang, Yuhan Fan, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 1
Research on Fault Detection by Flow Sequence Algorithm with Deep Learning Model for Industrial Internet of Things
Dongfeng Lei, Liang Zhao, Dengfeng Chen
(2024)
Open Access
Research on Fault Detection by Flow Sequence for Industrial Internet of Things in Sewage Treatment Plant Case
Dongfeng Lei, Liang Zhao, Dengfeng Chen
Sensors (2024) Vol. 24, Iss. 7, pp. 2210-2210
Open Access
Multi-Class Hypersphere Anomaly Detection Based on Edge Outlier Exposure Set and Margin
Min Gao, Xuan Liu, Di Xu, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2340-2340
Open Access
Progress and Thinking on Self-Supervised Learning Methods in Computer Vision: A Review
Zhihua Chen, Bo Hu, Zhongsheng Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 29524-29544
Closed Access
Image Anomaly Detection Based on Controllable Self-Augmentation
Liujie Hua, Yichao Cao, Yitian Long, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 35, pp. 1-10
Closed Access
Adaptive Hypersphere Data Description for few-shot one-class classification
Yuchen Ren, Xiabi Liu, Liyuan Pan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 24, pp. 12885-12897
Closed Access
Optimizing Feature Distributions for Unsupervised Deep Learning-Based Fabric Defect Detection and Localization
Eissa Alzabidi, Oğuz Fındık
Communications in computer and information science (2024), pp. 52-66
Closed Access
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care
Nivedita Bijlani, Oscar Méndez, Ramin Nilforooshan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109287-109287
Open Access
FraudDiffuse: Diffusion-aided Synthetic Fraud Augmentation for Improved Fraud Detection
Ranadhir Roy, Darshika Tiwari, Anubha Pandey
(2024), pp. 90-98
Open Access
Automated Screening of Precancerous Cervical Cells Through Contrastive Self-Supervised Learning
Jaewoo Chun, Yu Ando, Seokhwan Ko, et al.
Life (2024) Vol. 14, Iss. 12, pp. 1565-1565
Open Access
xAAD - Post-Feedback Explainability for Active Anomaly Discovery
Damir Kopljar, Vjekoslav Drvar, Jurica Babić, et al.
IEEE Access (2024) Vol. 12, pp. 181914-181924
Open Access
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