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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 26-50 of 54 citing articles:

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
Multivariate anomaly detection based on prediction intervals constructed using deep learning
Thabang Mathonsi, Terence L. van Zyl
Neural Computing and Applications (2022)
Open Access | Times Cited: 12
An iterative approach to unsupervised outlier detection using ensemble method and distance-based data filtering
Bodhan Chakraborty, Agneet Chaterjee, Samir Malakar, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 4, pp. 3215-3230
Open Access | Times Cited: 12
Anomaly detection with correlation laws
Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao
Data & Knowledge Engineering (2023) Vol. 145, pp. 102181-102181
Closed Access | Times Cited: 6
UAV-based Surveillance System: an Anomaly Detection Approach
Amira Chriki, Haifa Touati, Hichem Snoussi, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2020), pp. 1-6
Closed Access | Times Cited: 17
Malicious traffic detection on sampled network flow data with novelty-detection-based models
Adrián Campazas, Ignacio Samuel Crespo-Martínez, Ángel Manuel Guerrero‐Higueras, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions
Renato De Leone, Francesca Maggioni, Andrea Spinelli
Lecture notes in computer science (2024), pp. 299-310
Closed Access | Times Cited: 1
Multi-Scale Event Detection in Financial Time Series
Diego Silva de Salles, Cristiane Géa, Carlos E. Mello, et al.
Computational Economics (2024)
Closed Access | Times Cited: 1
A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly Detection
Shakhnaz Akhmedova, Vladimir Stanovov, Yukihiro Kamiya
Algorithms (2022) Vol. 15, Iss. 10, pp. 342-342
Open Access | Times Cited: 7
Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum
Juncal Alonso, Leire Orue-Echevarria, Eneko Osaba, et al.
Information (2021) Vol. 12, Iss. 8, pp. 308-308
Open Access | Times Cited: 6
Predicting Preeclampsia Using Principal Component Analysis and Decision Tree Classifier
Farida Musa, Rajesh Prasad
Current Women s Health Reviews (2023) Vol. 20, Iss. 2
Closed Access | Times Cited: 2
AT-densenet with salp swarm optimization for outlier prediction
Chigurupati Ravi Swaroop, K. Raja
International Journal of Computers and Applications (2023) Vol. 45, Iss. 12, pp. 735-747
Closed Access | Times Cited: 2
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, et al.
Journal of Computational and Graphical Statistics (2022) Vol. 32, Iss. 2, pp. 551-566
Open Access | Times Cited: 4
Detecting abnormal electricity usage using unsupervised learning model in unlabeled data
Jesmeen et al.
International Journal of ADVANCED AND APPLIED SCIENCES (2021) Vol. 8, Iss. 9, pp. 102-111
Open Access | Times Cited: 5
Supervised Hyperparameter Estimation for Anomaly Detection
Juan Bella, Ángela Fernández, José R. Dorronsoro
Lecture notes in computer science (2020), pp. 233-244
Closed Access | Times Cited: 4
SNDProb: A probabilistic approach for streaming novelty detection
Ander Carreño, Iñaki Inza, José A. Lozano
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Closed Access | Times Cited: 3
Anomaly Detection Industrial Items
Muhammad Owais Khan, Peishun Liu, A. Basit, et al.
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 2, pp. 729-734
Open Access
Geochemical anomaly recognition using Shapley values and cell-wise outlier detection: a case study in the Yuanbo Nang District, Gansu Province, China
Shuai Zhang, Emmanuel John M. Carranza, Changliang Fu, et al.
Geochemistry Exploration Environment Analysis (2024) Vol. 24, Iss. 2
Closed Access
Unsupervised MTS Anomaly Detection with Variational Autoencoders
M. K. Saravana, M Roopa, J S Arunalatha, et al.
Lecture notes in networks and systems (2024), pp. 219-236
Closed Access
Analysis of weather impacts on oil palm productivity
Nuzhat Khan, Mohamad Anuar Kamaruddin, Usman Ullah Sheikh, et al.
AIP conference proceedings (2024) Vol. 3245, pp. 060003-060003
Closed Access
Few-Shot Learning with Novelty Detection
Kim Bjerge, Paul Bodesheim, Henrik Karstoft
Communications in computer and information science (2024), pp. 340-363
Closed Access
Coulomb’s law-inspired parameter-free outlier detection algorithm
Rui Pu, Jia Xu, Lijun Yang, et al.
Applied Soft Computing (2024), pp. 112348-112348
Closed Access
Physical Layer Detection of Malicious Relays in LTE-A Network Using Unsupervised Learning
Yeliz Yengi, Adnan Kavak, Hüseyin Arslan
IEEE Access (2020) Vol. 8, pp. 154713-154726
Open Access | Times Cited: 3
Transfer Learning for Region-Wide Trajectory Outlier Detection
Yueyang Su, Di Yao, Tian Tian, et al.
IEEE Access (2023) Vol. 11, pp. 97001-97013
Open Access | Times Cited: 1
Development of instability analysis for the filling process of human-induced pluripotent stem cell products
Adithya Nair, Ikki Horiguchi, Kazuhiro Fukumori, et al.
Biochemical Engineering Journal (2022) Vol. 185, pp. 108506-108506
Open Access | Times Cited: 2

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