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:

There and back again: Outlier detection between statistical reasoning and data mining algorithms
Arthur Zimek, Peter Filzmoser
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 8, Iss. 6
Open Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Smart anomaly detection in sensor systems: A multi-perspective review
Laura Erhan, Maryleen Ndubuaku, Mario Di Mauro, et al.
Information Fusion (2020) Vol. 67, pp. 64-79
Open Access | Times Cited: 217
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
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
Allan Tucker, Zhenchen Wang, Ylenia Rotalinti, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 158
Density‐based clustering
Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 10, Iss. 2
Open Access | Times Cited: 88
A Comprehensive Survey of Anomaly Detection Algorithms
Durgesh Samariya, Amit Thakkar
Annals of Data Science (2021)
Closed Access | Times Cited: 64
A survey of outlier detection in high dimensional data streams
Imen Souiden, Mohamed Nazih Omri, Zaki Brahmi
Computer Science Review (2022) Vol. 44, pp. 100463-100463
Closed Access | Times Cited: 50
A performance study of local outlier detection methods for mineral exploration with geochemical compositional data
Patricia Puchhammer, Charmee Kalubowila, Lorena Braus, et al.
Journal of Geochemical Exploration (2024) Vol. 258, pp. 107392-107392
Open Access | Times Cited: 10
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
Improving the Accuracy of Convolutional Neural Networks by Identifying and Removing Outlier Images in Datasets Using t-SNE
Husein Perez, J.H.M. Tah
Mathematics (2020) Vol. 8, Iss. 5, pp. 662-662
Open Access | Times Cited: 69
Unsupervised outlier detection in multidimensional data
Atiq Ur Rehman, Samir Brahim Belhaouari
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 53
Synthetic data use: exploring use cases to optimise data utility
Stefanie James, Chris Harbron, Janice Branson, et al.
Discover Artificial Intelligence (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 52
Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM
Alberto Barbado, Óscar Corcho, Richard Benjamins
Expert Systems with Applications (2021) Vol. 189, pp. 116100-116100
Open Access | Times Cited: 43
A procedure for anomaly detection and analysis
Oded Koren, Michal Koren, Or Peretz
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105503-105503
Open Access | Times Cited: 30
Detecting outliers from pairwise proximities: Proximity isolation forests
Antonella Mensi, David M. J. Tax, Manuele Bicego
Pattern Recognition (2023) Vol. 138, pp. 109334-109334
Open Access | Times Cited: 17
Study on Statistical Outlier Detection and Labelling
Paweł D. Domański
International Journal of Automation and Computing (2020) Vol. 17, Iss. 6, pp. 788-811
Closed Access | Times Cited: 41
Multivariate outlier explanations using Shapley values and Mahalanobis distances
Marcus Mayrhofer, Peter Filzmoser
Econometrics and Statistics (2023)
Open Access | Times Cited: 13
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles
Henrique O. Marques, Lorne Swersky, Jörg Sander, et al.
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 4, pp. 1473-1517
Open Access | Times Cited: 13
Anomaly detection in streaming data: A comparison and evaluation study
Félix Iglesias, Alexander Härtl, Tanja Zseby, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120994-120994
Open Access | Times Cited: 13
A Probabilistic Transformation of Distance-Based Outliers
David Muhr, Michael Affenzeller, Josef Küng
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 3, pp. 782-802
Open Access | Times Cited: 13
An entropy-based approach for a robust least squares spline approximation
Luigi Brugnano, D. Giordano, Felice Iavernaro, et al.
Journal of Computational and Applied Mathematics (2024) Vol. 443, pp. 115773-115773
Open Access | Times Cited: 5
A practical, step-by-step, guide to taxonomic comparisons using Procrustes geometric morphometrics and user-friendly software (part A): introduction and preliminary analyses
Andrea Cardini
European Journal of Taxonomy (2024) Vol. 934, pp. 1-92
Open Access | Times Cited: 5
A comparative evaluation of clustering-based outlier detection
Braulio V. Sánchez Vinces, Erich Schubert, Arthur Zimek, et al.
Data Mining and Knowledge Discovery (2025) Vol. 39, Iss. 2
Open Access
Managing industrial water treatment processes knowledge with knowledge graphs
Nikos Papageorgiou, Dimitra Pournara, Dimitris Apostolou, et al.
Intelligent Decision Technologies (2025)
Closed Access
Outlier Detection in Urban Traffic Flow Distributions
Youcef Djenouri, Arthur Zimek, Marco Chiarandini
2021 IEEE International Conference on Data Mining (ICDM) (2018), pp. 935-940
Open Access | Times Cited: 42
A Survey on Open Set Recognition
Atefeh Mahdavi, Marco Carvalho
(2021), pp. 37-44
Open Access | Times Cited: 28
Page 1 - Next Page

Scroll to top