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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:

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision
Hongzuo Xu, Yijie Wang, Guansong Pang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103459-103459
Open Access | Times Cited: 21

Showing 21 citing articles:

Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu, Yijie Wang, Songlei Jian, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5723-5736
Open Access | Times Cited: 22
Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection
Zhonghao Chang, Kaiwen Jia, Te Han, et al.
Energy Conversion and Management (2024) Vol. 316, pp. 118845-118845
Closed Access | Times Cited: 16
CARLA: Self-supervised contrastive representation learning for time series anomaly detection
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, et al.
Pattern Recognition (2024) Vol. 157, pp. 110874-110874
Open Access | Times Cited: 11
Research on Anomaly Monitoring Method of Power Telecontrol Transmission Based on Feature Selection and M-LSTM
Kai Guo, Mo Zhang, Zheng Lu, et al.
Journal of Physics Conference Series (2025) Vol. 2943, Iss. 1, pp. 012002-012002
Open Access
Enforced clustering for zero-to-one-shot texture anomaly detection
Bahar Amirian Varnousefaderani, Akhrorjon Akhmadjon Ugli Rakhmonov, Jae-Soo Kim, et al.
Machine Vision and Applications (2025) Vol. 36, Iss. 3
Closed Access
Decomposition-based multi-scale transformer framework for time series anomaly detection
Wenxin Zhang, Cuicui Luo
Neural Networks (2025) Vol. 187, pp. 107399-107399
Closed Access
A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection
Jiahao Yu, Xin Gao, Baofeng Li, et al.
Neural Networks (2023) Vol. 170, pp. 478-493
Closed Access | Times Cited: 10
Semi-supervised attack detection in industrial control systems with deviation networks and feature selection
Yanhua Liu, Wentao Deng, Zhihuang Liu, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 10, pp. 14600-14621
Open Access | Times Cited: 3
Outlier detection using flexible categorization and interrogative agendas
Marcel Boersma, Krishna Manoorkar, Alessandra Palmigiano, et al.
Decision Support Systems (2024) Vol. 180, pp. 114196-114196
Open Access | Times Cited: 2
Detecting energy theft with partially observed anomalies
Hua Chen, Ma Rui, Xiufeng Liu, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 162, pp. 110323-110323
Open Access | Times Cited: 2
Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection
Van Quan Nguyen, Long Thanh Ngo, Le-Minh Nguyen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112366-112366
Closed Access | Times Cited: 1
Prototype-oriented hypergraph representation learning for anomaly detection in tabular data
Shu Li, Yi Lu, Shicheng Jiu, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103877-103877
Closed Access | Times Cited: 1
Anomaly detection method based on penalty least squares algorithm and time window entropy for Cyber–Physical Systems
Jing Zhang, Yige Yuan, Jiahong Zhang, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101860-101860
Open Access | Times Cited: 2
OBCTeacher: Resisting labeled data scarcity in oracle bone character detection by semi-supervised learning
Xiuan Wan, Zhengchen Li, Dandan Liang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103864-103864
Closed Access
A Universal Adaptive Algorithm for Graph Anomaly Detection
Yuqi Li, Guosheng Zang, Chunyao Song, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103905-103905
Closed Access
Semi-supervised anomaly detection with contamination-resilience and incremental training
Liheng Yuan, Fanghua Ye, Heng Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109311-109311
Closed Access
An Anomly Detection Method for Rotating Machinery Based on Pre-Trained Speech Recognition Large Model
Yuqi Yang, Kun Feng, Yingli Li
(2024), pp. 1-6
Closed Access
SHRINKAGE-BASED WEAKLY-SUPERVISED FEATURE LEARNING TO ENHANCE IoT ANOMALY DETECTION
Van Loi Cao
Journal of Science and Technique (2024) Vol. 13, Iss. 01
Open Access
Abnormal behaviors recognition in crowd environments based on semi-supervised deep learning and hierarchical approach
Vahid Fazel Asl, Babak Karasfi, Behrooz Masoumi, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 12, pp. 3925-3943
Closed Access
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series
Haojie Li, Hongzuo Xu, Wei Peng, et al.
(2023)
Closed Access | Times Cited: 1
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