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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:

Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality
Wentai Wu, Ligang He, Weiwei Lin, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 9, pp. 4147-4160
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Towards a Rigorous Evaluation of Time-Series Anomaly Detection
Siwon Kim, Kukjin Choi, Hyun-Soo Choi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 7, pp. 7194-7201
Open Access | Times Cited: 80
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-42
Open Access | Times Cited: 30
A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model
Chuanjiang Li, Kai Luo, Lei Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23239-23254
Closed Access | Times Cited: 28
DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection
Yifan Li, Xiaoyan Peng, Jia Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 4, pp. 3632-3644
Closed Access | Times Cited: 76
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 38
Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework
Ruyue Xin, Hongyun Liu, Peng Chen, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives
Deepak Adhikari, Wei Jiang, Jinyu Zhan, et al.
Computer Science Review (2024) Vol. 54, pp. 100665-100665
Closed Access | Times Cited: 8
Belief Rényi Divergence of Divergence and its Application in Time Series Classification
Lang Zhang, Fuyuan Xiao
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 8, pp. 3670-3681
Closed Access | Times Cited: 7
Evaluating algorithms for anomaly detection in satellite telemetry data
Jakub Nalepa, Michał Myller, Jacek Andrzejewski, et al.
Acta Astronautica (2022) Vol. 198, pp. 689-701
Closed Access | Times Cited: 27
Hybrid-Order Representation Learning for Electricity Theft Detection
Yuying Zhu, Yang Zhang, Lingbo Liu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1248-1259
Closed Access | Times Cited: 22
A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions
Fengling Wang, Yiyue Jiang, Rongjie Zhang, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 190-190
Open Access
DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion
Zheng Xu, Yumeng Yang, Xinwen Gao, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3910-3910
Open Access | Times Cited: 11
VAEAT: Variational AutoeEncoder with Adversarial Training for Multivariate Time Series Anomaly Detection
Sheng He, Mingjing Du, Xiang Jiang, et al.
Information Sciences (2024) Vol. 676, pp. 120852-120852
Closed Access | Times Cited: 4
Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
Yutong Chen, Hongzuo Xu, Guansong Pang, et al.
Lecture notes in computer science (2024), pp. 145-162
Closed Access | Times Cited: 2
From Multiple Independent Metrics to Single Performance Measure Based on Objective Function
Asoke K. Nandi
IEEE Access (2023) Vol. 11, pp. 3899-3913
Open Access | Times Cited: 5
BTextCAN: Consumer fraud detection via group perception
Shanyan Lai, Junfang Wu, Zhiwei Ma, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103307-103307
Closed Access | Times Cited: 5
B-Detection: Runtime Reliability Anomaly Detection for MEC Services With Boosting LSTM Autoencoder
Lei Wang, Shuhan Chen, Feifei Chen, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 4, pp. 2599-2613
Closed Access | Times Cited: 5
Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems
Shengsheng Lin, Weiwei Lin, Keyi Wu, et al.
Internet of Things (2023) Vol. 25, pp. 101049-101049
Closed Access | Times Cited: 5
A new satellite-ship autonomous communication system with an integrated deep learning anomaly detection algorithm
Di Wu, Sheng Liu, Wei Wei, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74075-74100
Closed Access | Times Cited: 1
SSOLV: Real-Time AI/ML-Based Cybersecurity via Statistical Analysis
Makia S. Powell, Benjamin Drozdenko
IEEE Access (2024) Vol. 12, pp. 114786-114794
Open Access | Times Cited: 1
A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction
Max Landauer, Florian Skopik, Branka Stojanović, et al.
International Journal of Information Security (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
A Multi-scale Patch Mixer Network for Time Series Anomaly Detection
Qiushi Wang, Yimei Zhu, Zhicheng Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109687-109687
Open Access | Times Cited: 1
Unsupervised TCN-AE-Based Outlier Detection for Time Series With Seasonality and Trend for Cellular Networks
Ronghong Mo, Yiyang Pei, Neelakantam Venkatarayalu, et al.
IEEE Transactions on Wireless Communications (2022) Vol. 22, Iss. 5, pp. 3114-3127
Closed Access | Times Cited: 7
ML-Based Aging Monitoring and Lifetime Prediction of IoT Devices With Cost-Effective Embedded Tags for Edge and Cloud Operability
Ali Reza Shamshiri, M. B. Ghaznavi‐Ghoushchi, Ali Reza Kariman
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7433-7445
Closed Access | Times Cited: 9
HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series
Weiwei Lin, Songbo Wang, Wentai Wu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 866-878
Closed Access | Times Cited: 3
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