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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:

Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
Ander Carreño, Iñaki Inza, José A. Lozano
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3575-3594
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A Review on Outlier/Anomaly Detection in Time Series Data
Ane Blázquez-García, Ángel Conde, Usue Mori, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 3, pp. 1-33
Open Access | Times Cited: 550
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
Image encoding selection based on Pearson correlation coefficient for time series anomaly detection
Helmy Rahadian, Steven Bandong, Augie Widyotriatmo, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 304-322
Open Access | Times Cited: 45
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-42
Open Access | Times Cited: 30
A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Ángel Conde, Usue Mori, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 120
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 38
A Comprehensive Survey on Rare Event Prediction
Chathurangi Shyalika, Ruwan Wickramarachchi, Amit Sheth
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-39
Open Access | Times Cited: 10
Transformer based Kalman Filter with EM algorithm for time series prediction and anomaly detection of complex systems
Meng Ma, Liu Fu, Zhi Zhai, et al.
Measurement (2024) Vol. 229, pp. 114378-114378
Closed Access | Times Cited: 9
Deep learning and handcrafted features for one-class anomaly detection in UAV video
Amira Chriki, Haifa Touati, Hichem Snoussi, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 2, pp. 2599-2620
Closed Access | Times Cited: 53
The importance of rare events and other outliers in global strategy research
Paul W. Beamish, Vanessa C. Hasse
Global Strategy Journal (2022) Vol. 12, Iss. 4, pp. 697-713
Open Access | Times Cited: 33
Deep learning approaches for multi-modal sensor data analysis and abnormality detection
Santosh Pandurang Jadhav, Angalkuditi Srinivas, Patil Dipak Raghunath, et al.
Measurement Sensors (2024) Vol. 33, pp. 101157-101157
Open Access | Times Cited: 6
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
Jacinto Carrasco, David López, Ignacio Aguilera-Martos, et al.
Neurocomputing (2021) Vol. 462, pp. 440-452
Open Access | Times Cited: 35
Event-Based Anomaly Detection Using a One-Class SVM for a Hybrid Electric Vehicle
Yonghyeok Ji, Hyeongcheol Lee
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 6, pp. 6032-6043
Closed Access | Times Cited: 26
Boundary-aware local Density-based outlier detection
Fatih Aydın
Information Sciences (2023) Vol. 647, pp. 119520-119520
Closed Access | Times Cited: 15
Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data
Suyel Namasudra, S. Dhamodharavadhani, R. Rathipriya, et al.
Big Data (2023) Vol. 12, Iss. 2, pp. 83-99
Closed Access | Times Cited: 14
Anomaly detection in broadband networks: Using normalizing flows for multivariate time series
Tobias Engelhardt Rasmussen, Facundo Esteban Castellá Algán, Andreas Baum
Signal Processing (2025), pp. 109874-109874
Open Access
Beyond Accuracy: Rethinking Outlier Detection in Asylum Data
Kristin Kaltenhäuser, Tijs Slaats, Michael Müller, et al.
ACM Journal on Responsible Computing (2025)
Closed Access
Semantic-Based Anomaly Detection Approach for Large-Scale Time Series Data in Acceleration Events
Deniel Tichomirov, Alberto Ferraris, Axel Lamprecht
International Journal on Semantic Web and Information Systems (2025) Vol. 21, Iss. 1, pp. 1-25
Open Access
A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development
Shiliang Ai, Chen Li, Xiaoyan Li, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-19
Open Access | Times Cited: 32
Evaluation of structural integrity of railway bridge using acceleration data and semi-supervised learning approach
Jun S. Lee, Hyun Min Kim, Sung Il Kim, et al.
Engineering Structures (2021) Vol. 239, pp. 112330-112330
Open Access | Times Cited: 28
Change Point Enhanced Anomaly Detection for IoT Time Series Data
Elena-Simona Apostol, Ciprian-Octavian Truică, Florin Pop, et al.
Water (2021) Vol. 13, Iss. 12, pp. 1633-1633
Open Access | Times Cited: 27
AI-based novelty detection in crowdsourced idea spaces
Julian Just, Thomas Ströhle, Johann Füller, et al.
Innovation (2023) Vol. 26, Iss. 3, pp. 359-386
Open Access | Times Cited: 12
Water leak detection using self-supervised time series classification
Ane Blázquez-García, Ángel Conde, Usue Mori, et al.
Information Sciences (2021) Vol. 574, pp. 528-541
Open Access | Times Cited: 25
An algorithm for outlier detection in a time series model using backpropagation neural network
Gajendra K. Vishwakarma, Chinmoy Paul, A. M. Elsawah
Journal of King Saud University - Science (2020) Vol. 32, Iss. 8, pp. 3328-3336
Open Access | Times Cited: 27
Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, et al.
IEEE Transactions on Network and Service Management (2020) Vol. 17, Iss. 4, pp. 2451-2479
Open Access | Times Cited: 25
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