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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:

COPOD: Copula-Based Outlier Detection
Zheng Li, Yue Zhao, Nicola Botta, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2020), pp. 1118-1123
Open Access | Times Cited: 261

Showing 1-25 of 261 citing articles:

Anomaly detection in time series
Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock
Proceedings of the VLDB Endowment (2022) Vol. 15, Iss. 9, pp. 1779-1797
Closed Access | Times Cited: 229
Variational transformer-based anomaly detection approach for multivariate time series
Xixuan Wang, Dechang Pi, Xiangyan Zhang, et al.
Measurement (2022) Vol. 191, pp. 110791-110791
Closed Access | Times Cited: 79
Fraud detection in financial statements using data mining and GAN models
Seyyede Zahra Aftabi, Ali Ahmadi, Saeed Farzi
Expert Systems with Applications (2023) Vol. 227, pp. 120144-120144
Closed Access | Times Cited: 34
A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder
Wanxiang Li, Zhiwu Shang, Jie Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106312-106312
Closed Access | Times Cited: 29
Outlier detection method based on high-density iteration
Yu Zhou, Hao Xia, Dahui Yu, et al.
Information Sciences (2024) Vol. 662, pp. 120286-120286
Open Access | Times Cited: 8
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Kamil Faber, Roberto Corizzo, Bartłomiej Śnieżyński, et al.
IEEE Access (2024) Vol. 12, pp. 41364-41380
Open Access | Times Cited: 8
Wind turbine condition monitoring based on three fitted performance curves
Shuo Zhang, Emma Robinson, Malabika Basu
Wind Energy (2024) Vol. 27, Iss. 5, pp. 429-446
Open Access | Times Cited: 8
Similarity-Measured Isolation Forest: Anomaly Detection Method for Machine Monitoring Data
Changgen Li, Liang Guo, Hongli Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 55
A Hybrid Algorithm Incorporating Vector Quantization and One-Class Support Vector Machine for Industrial Anomaly Detection
Jingxuan Pang, Xiaokun Pu, Chunguang Li
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8786-8796
Closed Access | Times Cited: 34
Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms
Daniel Coelho, Diogo Costa, Eugénio M. Rocha, et al.
Procedia Computer Science (2022) Vol. 200, pp. 1184-1193
Open Access | Times Cited: 33
Integrating Machine Learning Algorithms With Quantum Annealing Solvers for Online Fraud Detection
Haibo Wang, Wendy Wang, Yi Liu, et al.
IEEE Access (2022) Vol. 10, pp. 75908-75917
Open Access | Times Cited: 33
Outlier detection using AI: a survey
Md Nazmul Kabir Sikder, Feras A. Batarseh
Elsevier eBooks (2023), pp. 231-291
Open Access | Times Cited: 16
Semi-Supervised Anomaly Detection Via Neural Process
Fan Zhou, Guanyu Wang, Kunpeng Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10423-10435
Closed Access | Times Cited: 16
Distributed and explainable GHSOM for anomaly detection in sensor networks
Paolo Mignone, Roberto Corizzo, Michelangelo Ceci
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4445-4486
Open Access | Times Cited: 7
Graph Structure Change-Based Anomaly Detection in Multivariate Time Series of Industrial Processes
Z. Zhang, Zhiqiang Geng, Yongming Han
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6457-6466
Closed Access | Times Cited: 6
Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets
Baiyang Chen, Zhong Yuan, Dezhong Peng, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112070-112070
Closed Access | Times Cited: 6
Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data
Donghyun Kim, Gian Antariksa, Melia Putri Handayani, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5200-5200
Open Access | Times Cited: 35
Anomaly Detection on Data Streams for Smart Agriculture
Juliet Chebet Moso, Stéphane Cormier, Cyril de Runz, et al.
Agriculture (2021) Vol. 11, Iss. 11, pp. 1083-1083
Open Access | Times Cited: 34
Comparative analysis of machine learning models for anomaly detection in manufacturing
Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, et al.
Procedia Computer Science (2022) Vol. 200, pp. 1288-1297
Open Access | Times Cited: 23
Learning Long-Range Relationships for Temporal Aircraft Anomaly Detection
Da Zhang, Junyu Gao, Xuelong Li
IEEE Transactions on Aerospace and Electronic Systems (2024) Vol. 60, Iss. 5, pp. 6385-6395
Closed Access | Times Cited: 5
Explainable unsupervised anomaly detection for healthcare insurance data
Hannes De Meulemeester, Frank De Smet, Johanna Dorst, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device
Mengyang Zhang, Hongbo Fu, Huadong Wang, et al.
Chemosensors (2025) Vol. 13, Iss. 1, pp. 18-18
Open Access
Artificial intelligence advances in anomaly detection for telecom networks
Enerst Edozie, Aliyu Nuhu Shuaibu, Bashir Olaniyi Sadiq, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
An experimental survey of imbalanced learning algorithms for bankruptcy prediction
Peter Gnip, Róbert Kanász, Martin Zoričák, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Robust hierarchical anomaly detection using feature impact in IOT networks
Joohong Rheey, Hyunggon Park
ICT Express (2025)
Open Access
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