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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:

Deep Learning for Anomaly Detection
Guansong Pang, Chunhua Shen, Longbing Cao, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 2, pp. 1-38
Open Access | Times Cited: 1535

Showing 1-25 of 1535 citing articles:

A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff, Jacob Kauffmann, Robert A. Vandermeulen, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 756-795
Open Access | Times Cited: 690
Deep Neural Networks and Tabular Data: A Survey
Vadim Borisov, Tobias Leemann, Kathrin Seßler, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7499-7519
Open Access | Times Cited: 435
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 12, pp. 12012-12038
Open Access | Times Cited: 400
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis Gudovskiy, Shun Ishizaka, Kazuki Kozuka
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022)
Open Access | Times Cited: 306
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 300
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian, Guansong Pang, Yuanhong Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 4955-4966
Open Access | Times Cited: 277
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-46
Open Access | Times Cited: 239
GAN-based anomaly detection: A review
Xuan Xia, Xizhou Pan, Nan Li, et al.
Neurocomputing (2022) Vol. 493, pp. 497-535
Closed Access | Times Cited: 234
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu, Zhao Li, Shirui Pan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2378-2392
Open Access | Times Cited: 218
Explaining anomalies detected by autoencoders using Shapley Additive Explanations
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115736-115736
Closed Access | Times Cited: 217
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li, Yue Zhao, Xiyang Hu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 12, pp. 12181-12193
Open Access | Times Cited: 199
Machine learning in aerodynamic shape optimization
Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins
Progress in Aerospace Sciences (2022) Vol. 134, pp. 100849-100849
Open Access | Times Cited: 182
Learning Placeholders for Open-Set Recognition
Da-Wei Zhou, Han-Jia Ye, De‐Chuan Zhan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 167
Deep Learning-Based Intrusion Detection Systems: A Systematic Review
Jan Lánský, Saqib Ali, Mokhtar Mohammadi, et al.
IEEE Access (2021) Vol. 9, pp. 101574-101599
Open Access | Times Cited: 162
TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder
Honghao Gao, Binyang Qiu, Ramón J. Durán Barroso, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 5, pp. 2978-2990
Closed Access | Times Cited: 159
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yuxin Zhang, Yiqiang Chen, Jindong Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 158
Deep Isolation Forest for Anomaly Detection
Hongzuo Xu, Guansong Pang, Yijie Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12591-12604
Open Access | Times Cited: 140
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2508-2517
Open Access | Times Cited: 129
Label-Free Segmentation of COVID-19 Lesions in Lung CT
Qingsong Yao, Li Xiao, Peihang Liu, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2808-2819
Open Access | Times Cited: 122
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
Haoxuan Zhou, Xin Huang, Guangrui Wen, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117297-117297
Closed Access | Times Cited: 110
Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility
Abeer Aljohani
Sustainability (2023) Vol. 15, Iss. 20, pp. 15088-15088
Open Access | Times Cited: 106
Autoencoders and their applications in machine learning: a survey
Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 106
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-21
Open Access | Times Cited: 101
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model
Peng Chen, Hongyun Liu, Ruyue Xin, et al.
The Computer Journal (2022) Vol. 65, Iss. 11, pp. 2909-2925
Closed Access | Times Cited: 97
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding, Guansong Pang, Chunhua Shen
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7378-7388
Open Access | Times Cited: 80
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