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:

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 26-50 of 169 citing articles:

On Applicability of IQR Method for Filtering of Experimental Data
Β. B. Ilyushin
Journal of Engineering Thermophysics (2024) Vol. 33, Iss. 1, pp. 1-8
Closed Access | Times Cited: 4

Explainable artificial intelligence and machine learning algorithms for classification of thyroid disease
Priyanka Kumari, Baljinder Kaur, Manik Rakhra, et al.
Deleted Journal (2024) Vol. 6, Iss. 7
Open Access | Times Cited: 4

Data Mining and Machine Learning Techniques in Knowledge Discovery
V. V. Bhavani, Tahseen Jahan, A. Hemalatha Reddy, et al.
Cognitive science and technology (2025), pp. 483-498
Closed Access

Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
Georg Steinbuß, Klemens Böhm
ACM Transactions on Knowledge Discovery from Data (2021) Vol. 15, Iss. 4, pp. 1-20
Open Access | Times Cited: 26

Adaptive modification of turbofan engine nonlinear model based on LSTM neural networks and hybrid optimization method
Yanhua Ma, Xian Du, Xi‐Ming Sun
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 9, pp. 314-332
Open Access | Times Cited: 25

Novel data-driven method for non-probabilistic uncertainty analysis of engineering structures based on ellipsoid model
Chong Wang, Xin Qiang, Haoran Fan, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 394, pp. 114889-114889
Closed Access | Times Cited: 17

A Deep Learning-Based Method for Automatic Abnormal Data Detection: Case Study for Bridge Structural Health Monitoring
Xijun Ye, Pei‐Rong Wu, Airong Liu, et al.
International Journal of Structural Stability and Dynamics (2022) Vol. 23, Iss. 11
Closed Access | Times Cited: 17

Quantitative Analysis of Mixed Minerals with Finite Phase Using Thermal Infrared Hyperspectral Technology
Meixiang Qi, Liqin Cao, Yunliang Zhao, et al.
Materials (2023) Vol. 16, Iss. 7, pp. 2743-2743
Open Access | Times Cited: 9

Introduction and testing of a cost-effective GNSS system for landslide monitoring
Ingrid Arantxa Berru Garcia, Renato Macciotta, Jorge Rodriguez, et al.
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8521-8549
Open Access | Times Cited: 3

Multivariate Outlier Detection in Applied Data Analysis: Global, Local, Compositional and Cellwise Outliers
Peter Filzmoser, Mariella Gregorich
Mathematical Geosciences (2020) Vol. 52, Iss. 8, pp. 1049-1066
Open Access | Times Cited: 24

A spatial filtering inspired three-way clustering approach with application to outlier detection
Bahar Ali, Nouman Azam, Anwar Shah, et al.
International Journal of Approximate Reasoning (2020) Vol. 130, pp. 1-21
Closed Access | Times Cited: 24

Explainable outlier detection: What, for Whom and Why?
Jonas Herskind Sejr, Anna Schneider‐Kamp
Machine Learning with Applications (2021) Vol. 6, pp. 100172-100172
Open Access | Times Cited: 21

Evaluation of filtering methods for use on high-frequency measurements of landslide displacements
Sohrab Sharifi, Michael T. Hendry, Renato Macciotta, et al.
Natural hazards and earth system sciences (2022) Vol. 22, Iss. 2, pp. 411-430
Open Access | Times Cited: 15

Meta-survey on outlier and anomaly detection
Mădălina Olteanu, Fabrice Rossi, Florian Yger
Neurocomputing (2023) Vol. 555, pp. 126634-126634
Open Access | Times Cited: 8

Anomaly Detection With Kernel Preserving Embedding
Huawen Liu, En-Hui Li, Xinwang Liu, et al.
ACM Transactions on Knowledge Discovery from Data (2021) Vol. 15, Iss. 5, pp. 1-18
Closed Access | Times Cited: 20

Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data
Ayman Elhalwagy, Tatiana Kalganova
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11393-11393
Open Access | Times Cited: 13

Incremental Outlier Detection in Air Quality Data Using Statistical Methods
Manish Mahajan, Santosh Kumar, Bhasker Pant, et al.
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (2020)
Closed Access | Times Cited: 17

Combining statistical methods for detecting potential outliers in groundwater quality time series
W.L. Berendrecht, Mariëlle van Vliet, Jasper Griffioen
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Open Access | Times Cited: 9

Liquid biopsy: an examination of platelet RNA obtained from head and neck squamous cell carcinoma patients for predictive molecular tumor markers
Lisa T. Huber, Johann M. Kraus, Jasmin Ezić, et al.
Exploration of Targeted Anti-tumor Therapy (2023), pp. 422-446
Open Access | Times Cited: 5

Detecting Anomalies in National Bridge Inventory Databases Using Machine Learning Methods
Ehsan Fereshtehnejad, Gianluca Gazzola, Pratik A. Parekh, et al.
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 6, pp. 453-467
Closed Access | Times Cited: 8

Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome k-mers
Haotian Ren, Yixue Li, Tao Huang
Microorganisms (2023) Vol. 11, Iss. 11, pp. 2773-2773
Open Access | Times Cited: 4

Towards Benchmarking for Evaluating Machine Learning Methods in Detecting Outliers in Process Datasets
Thimo Florian Schindler, Simon Schlicht, Klaus‐Dieter Thoben
Computers (2023) Vol. 12, Iss. 12, pp. 253-253
Open Access | Times Cited: 4

Enhancing Prediction Accuracy in an Imbalanced Dataset of Dengue Infection Cases Using a Two-layer Ensemble Outlier Detection and Feature Selection
Amiq Fahmi, Diana Purwitasari, Surya Sumpeno, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 544-560
Open Access | Times Cited: 1

Extracellular Vesicle Protein Expression in Doped Bioactive Glasses: Further Insights Applying Anomaly Detection
Mauro Nascimben, Hugo Abreu, Marcello Manfredi, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 6, pp. 3560-3560
Open Access | Times Cited: 1

Feature Extraction and Clustering of Feed Oil from a S Zorb Unit Based on AE and PCA Algorithms
Zhibo Gao, Jie Wang, Song Liu, et al.
Petroleum Chemistry (2024) Vol. 64, Iss. 3, pp. 385-395
Closed Access | Times Cited: 1

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