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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:

Learning Neural Representations for Network Anomaly Detection
Van Loi Cao, Miguel Nicolau, James McDermott
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 8, pp. 3074-3087
Closed Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107864-107864
Open Access | Times Cited: 305
Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder
Sultan Zavrak, Murat İskefiyeli
IEEE Access (2020) Vol. 8, pp. 108346-108358
Open Access | Times Cited: 241
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Tao Jiang, Yunsong Li, Weiying Xie, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 7, pp. 4666-4679
Closed Access | Times Cited: 155
Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection
Yingjie Zhou, Xucheng Song, Yanru Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2454-2465
Open Access | Times Cited: 99
Deep Transfer Learning for IoT Attack Detection
Ly Vu, Quang Uy Nguyen, Diep N. Nguyen, et al.
IEEE Access (2020) Vol. 8, pp. 107335-107344
Open Access | Times Cited: 95
VAE-based Deep SVDD for anomaly detection
Yu Zhou, Xiaomin Liang, Wei Zhang, et al.
Neurocomputing (2021) Vol. 453, pp. 131-140
Closed Access | Times Cited: 76
Machine Learning in Network Anomaly Detection: A Survey
Song Wang, Juan Fernando Balarezo, Sithamparanathan Kandeepan, et al.
IEEE Access (2021) Vol. 9, pp. 152379-152396
Open Access | Times Cited: 72
Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Tao Jiang, Weiying Xie, Yunsong Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6504-6517
Closed Access | Times Cited: 63
Conditional Variational Auto-Encoder and Extreme Value Theory Aided Two-Stage Learning Approach for Intelligent Fine-Grained Known/Unknown Intrusion Detection
Jian Yang, Xiang Chen, Shuangwu Chen, et al.
IEEE Transactions on Information Forensics and Security (2021) Vol. 16, pp. 3538-3553
Closed Access | Times Cited: 61
Deep Generative Learning Models for Cloud Intrusion Detection Systems
Ly Vu, Quang Uy Nguyen, Diep N. Nguyen, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 1, pp. 565-577
Closed Access | Times Cited: 53
SoK: Explainable Machine Learning for Computer Security Applications
Azqa Nadeem, Daniël Vos, Clinton Cao, et al.
(2023), pp. 221-240
Open Access | Times Cited: 27
Scalable anomaly-based intrusion detection for secure Internet of Things using generative adversarial networks in fog environment
Wei Yao, Han Shi, Hai Zhao
Journal of Network and Computer Applications (2023) Vol. 214, pp. 103622-103622
Closed Access | Times Cited: 25
Intrusion Detection System Based on One-Class Support Vector Machine and Gaussian Mixture Model
Chao Wang, Yunxiao Sun, Sicai Lv, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 930-930
Open Access | Times Cited: 23
Learning Latent Representation for IoT Anomaly Detection
Ly Vu, Van Loi Cao, Quang Uy Nguyen, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 3769-3782
Open Access | Times Cited: 57
Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features
Jin‐Young Kim, Sung‐Bae Cho
Computers & Security (2021) Vol. 112, pp. 102501-102501
Open Access | Times Cited: 54
Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 8, pp. 11891-11902
Closed Access | Times Cited: 48
MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection
Jinghong Lan, Xudong Liu, Bo Li, et al.
Computers & Security (2022) Vol. 123, pp. 102919-102919
Closed Access | Times Cited: 28
Anomaly Detection Using LSTM-Based Variational Autoencoder in Unsupervised Data in Power Grid
Dibyajyoti Guha, Rajdeep Chatterjee, Biplab Sikdar
IEEE Systems Journal (2023) Vol. 17, Iss. 3, pp. 4313-4323
Closed Access | Times Cited: 21
Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder
Chao Wang, Yunxiao Sun, Wenting Wang, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 568-568
Open Access | Times Cited: 19
Flow-based intrusion detection on software-defined networks: a multivariate time series anomaly detection approach
Sultan Zavrak, Murat İskefiyeli
Neural Computing and Applications (2023) Vol. 35, Iss. 16, pp. 12175-12193
Open Access | Times Cited: 19
One-class learning for fake news detection through multimodal variational autoencoders
Marcos Paulo Silva Gôlo, Mariana Caravanti de Souza, Rafael Geraldeli Rossi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106088-106088
Closed Access | Times Cited: 16
A Few-Shot Class-Incremental Learning Method for Network Intrusion Detection
Lei Du, Zhaoquan Gu, Ye Wang, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 2, pp. 2389-2401
Closed Access | Times Cited: 16
Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detection
Jinan Fan, Qianru Zhang, Jialei Zhu, et al.
Neurocomputing (2019) Vol. 376, pp. 180-190
Closed Access | Times Cited: 49
Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs
Lingyu Zhang, Jiabao Zhao, Wei Li
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 4, pp. 2284-2289
Closed Access | Times Cited: 44
Sparse Coding-Inspired GAN for Hyperspectral Anomaly Detection in Weakly Supervised Learning
Yunsong Li, Tao Jiang, Weiying Xie, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Closed Access | Times Cited: 37
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