Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data
Markus Goldstein, Seiichi Uchida
PLoS ONE (2016) Vol. 11, Iss. 4, pp. e0152173-e0152173
Open Access | Times Cited: 862

Showing 1-25 of 862 citing articles:

Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy, Sanjay Chawla
arXiv (Cornell University) (2019)
Open Access | Times Cited: 1178
Anomaly Detection: A Survey
Tahani Hussein Abu Musa, Abdelaziz Bouras
Lecture notes in networks and systems (2021), pp. 391-401
Closed Access | Times Cited: 1046
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
Kyle Hundman, Valentino Constantinou, Christopher Laporte, et al.
(2018), pp. 387-395
Open Access | Times Cited: 975
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
Anomaly Detection for IoT Time-Series Data: A Survey
Andrew Cook, Göksel Mısırlı, Zhong Fan
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 7, pp. 6481-6494
Closed Access | Times Cited: 538
Progress in Outlier Detection Techniques: A Survey
Hongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad
IEEE Access (2019) Vol. 7, pp. 107964-108000
Open Access | Times Cited: 426
Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, et al.
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1916-1916
Open Access | Times Cited: 398
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama, Junaid Qadir, Aunn Raza, et al.
IEEE Access (2019) Vol. 7, pp. 65579-65615
Open Access | Times Cited: 365
Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study
Mikel Cañizo, Isaac Triguero, Ángel Conde, et al.
Neurocomputing (2019) Vol. 363, pp. 246-260
Open Access | Times Cited: 322
Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines
Kukjin Choi, Jihun Yi, Changhwa Park, et al.
IEEE Access (2021) Vol. 9, pp. 120043-120065
Open Access | Times Cited: 309
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
Web traffic anomaly detection using C-LSTM neural networks
Tae Young Kim, Sung‐Bae Cho
Expert Systems with Applications (2018) Vol. 106, pp. 66-76
Closed Access | Times Cited: 298
A comprehensive survey of anomaly detection techniques for high dimensional big data
Srikanth Thudumu, Philip Branch, Jiong Jin, et al.
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 289
Artificial Intelligence and Machine Learning Techniques for Anomaly Detection and Threat Mitigation in Cloud-Connected Medical Devices
Omolola Akinola, Akintunde Akinola, Ifenna Victor Ifeanyi, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1886-1898
Open Access | Times Cited: 282
Big data analytics for preventive medicine
Imran Razzak, Muhammad Imran, Guandong Xu
Neural Computing and Applications (2019) Vol. 32, Iss. 9, pp. 4417-4451
Open Access | Times Cited: 252
Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data
Cheng Fan, Fu Xiao, Yang Zhao, et al.
Applied Energy (2017) Vol. 211, pp. 1123-1135
Open Access | Times Cited: 237
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
How to explore chemical space using algorithms and automation
Piotr S. Gromski, Alon Henson, Jarosław M. Granda, et al.
Nature Reviews Chemistry (2019) Vol. 3, Iss. 2, pp. 119-128
Closed Access | Times Cited: 221
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, et al.
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 33-43
Open Access | Times Cited: 216
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
Khaled Gubran Al-Hashedi, Pritheega Magalingam
Computer Science Review (2021) Vol. 40, pp. 100402-100402
Closed Access | Times Cited: 212
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Omar Alghushairy, Raed Alsini, Terence Soule, et al.
Big Data and Cognitive Computing (2020) Vol. 5, Iss. 1, pp. 1-1
Open Access | Times Cited: 210
Outlier Detection
Azzedine Boukerche, Lining Zheng, Omar Alfandi
ACM Computing Surveys (2020) Vol. 53, Iss. 3, pp. 1-37
Closed Access | Times Cited: 192
Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review
Cheng Fan, Fu Xiao, Clyde Zhengdao Li, et al.
Energy and Buildings (2017) Vol. 159, pp. 296-308
Open Access | Times Cited: 190
MAHALANOBIS DISTANCE AND ITS APPLICATION FOR DETECTING MULTIVARIATE OUTLIERS
Hamid Ghorbani
Facta Universitatis Series Mathematics and Informatics (2019), pp. 583-583
Open Access | Times Cited: 169
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model
Shu‐Yu Lin, Ronald Clark, Robert Birke, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 4322-4326
Closed Access | Times Cited: 169
Page 1 - Next Page

Scroll to top