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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 Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel, Ngoc‐Son Vu, Jean Beaudet, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 807-821
Open Access | Times Cited: 15

Showing 15 citing articles:

Self-supervised learning fabric defect segmentation using anomaly generation
Kankan Qi, Yu Guo, Jian Zhou
International Journal of Clothing Science and Technology (2025)
Closed Access
Spatial Scene Temporal Behavior Framework for Anomaly Detection
Chaobo Li, Hongjun Li, Guoan Zhang
Digital Signal Processing (2025), pp. 105076-105076
Closed Access
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao, Xun Xu, Manh Cuong Nguyen, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2090-2103
Open Access | Times Cited: 4
Self-supervised distributional and contrastive learning model for image anomaly detection
Yannan Pu, Jian Sun, Niansheng Tang, et al.
Knowledge-Based Systems (2025), pp. 113348-113348
Closed Access
Localize-diffusion based dual-branch anomaly detection
Jielin Jiang, Xiying Liu, Peiyi Yan, et al.
Neural Networks (2025) Vol. 188, pp. 107439-107439
Closed Access
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
Nicolas Larue, Ngoc‐Son Vu, Vitomir Štruc, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 20954-20964
Open Access | Times Cited: 8
Enhancing Anomaly Detection Models for Industrial Applications through SVM-Based False Positive Classification
Ji Qiu, Hongmei Shi, Yu Hen Hu, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12655-12655
Open Access | Times Cited: 5
A fuzzy detection approach to high-dimensional anomalies
Jian Zheng, Nanshan Ruan, Pingping Wei, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Closed Access | Times Cited: 1
Leukocyte classification using relative-relationship-guided contrastive learning
Zuoyong Li, Qinghua Lin, Jiawei Wu, et al.
Expert Systems with Applications (2024), pp. 125390-125390
Closed Access | Times Cited: 1
Pure anomaly detection via self-supervised deep metric learning with adaptive margin
Soroush Fatemifar, Muhammad Awais, Ali Akbari, et al.
Neurocomputing (2024), pp. 128659-128659
Open Access | Times Cited: 1
ML-Based Maintenance and Control Process Analysis, Simulation, and Automation—A Review
Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8774-8774
Open Access
Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research
Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, et al.
IEEE Access (2024) Vol. 12, pp. 174564-174590
Open Access
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation
Andrea Loddo, Davide Ghiani, Alessandra Perniciano, et al.
Information (2024) Vol. 15, Iss. 6, pp. 360-360
Open Access
Pure Anomaly Detection Via Self-Supervised Deep Metric Learning with Adaptive Margin
Soroush Fatemifar, Muhammad Awais, Ali Akbari, et al.
(2023)
Closed Access
Large-margin multiple kernel ℓp-SVDD using Frank–Wolfe algorithm for novelty detection
Shervin Rahimzadeh Arashloo
Pattern Recognition (2023) Vol. 148, pp. 110189-110189
Closed Access
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