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:

Statistical Drift Detection Ensemble for batch processing of data streams
Joanna Komorniczak, Paweł Zyblewski, Paweł Ksieniewicz
Knowledge-Based Systems (2022) Vol. 252, pp. 109380-109380
Closed Access | Times Cited: 13

Showing 13 citing articles:

Clustering-based attack detection for adversarial reinforcement learning
Rubén Majadas, Javier García, Fernando Fernández
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2631-2647
Open Access | Times Cited: 2

Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams
Yuyan Zhang, Zhe Liu, Chunjie Yang, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111640-111640
Closed Access | Times Cited: 2

5G/5G+ network management employing AI-based continuous deployment
Michał Panek, Adam Pomykała, Ireneusz Jabłoński, et al.
Applied Soft Computing (2023) Vol. 134, pp. 109984-109984
Closed Access | Times Cited: 6

A reliable adaptive prototype-based learning for evolving data streams with limited labels
Salah Ud Din, Aman Ullah, Cobbinah Bernard Mawuli, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103532-103532
Closed Access | Times Cited: 5

A drift detection method for industrial images based on a defect segmentation model
Weifeng Li, Bin Li, Zhenrong Wang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112320-112320
Closed Access | Times Cited: 1

Complexity-based drift detection for nonstationary data streams
Joanna Komorniczak, Paweł Ksieniewicz
Neurocomputing (2023) Vol. 552, pp. 126554-126554
Open Access | Times Cited: 3

FBDD: feature-based drift detector for batch processing data
Piotr Porwik, Krzysztof Wróbel, Tomasz Orczyk, et al.
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6805-6822
Closed Access

A Self-Tuning ensemble approach for drift detection
Guilherme Yukio Sakurai, Bruno Bogaz Zarpel�ão, Sylvio Barbon
(2024), pp. 811-822
Closed Access

A Grey Literature Review on Data Stream Processing applications testing
Alexandre Vianna, Fernando Kamei, Kiev Gama, et al.
Journal of Systems and Software (2023) Vol. 203, pp. 111744-111744
Closed Access | Times Cited: 1

An Intelligent Edge Dual-Structure Ensemble Method for Data Stream Detection and Releasing
Jiangjiang Zhang, Bei Gong, Qian Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 863-879
Closed Access | Times Cited: 1

A Fuzzy Logic Ensemble Approach to Concept Drift Detection
Carlos del Campo, Borja Sanz, Jon Díaz, et al.
Lecture notes in computer science (2023), pp. 84-96
Closed Access | Times Cited: 1

Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability
Weronika Borek-Marciniec, Paweł Ksieniewicz
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 26050-26066
Open Access

FBDD: Feature-Based Drift Detector for batch processing data
Piotr Porwik, Krzysztof Wróbel, Tomasz Orczyk, et al.
Research Square (Research Square) (2023)
Open Access

Designing Concept Drift Detection Ensembles: A Survey
Martin Trat, Jivka Ovtcharova
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023), pp. 1-10
Closed Access

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