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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:

Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models
Edwin Lughofer, Mahardhika Pratama
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 1, pp. 292-309
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey
Igor Škrjanc, José Antonio Iglesias, Araceli Sanchis, et al.
Information Sciences (2019) Vol. 490, pp. 344-368
Closed Access | Times Cited: 292
Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control
Radu‐Emil Precup, Teodor-Adrian Teban, Adriana Albu, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 7, pp. 4625-4636
Closed Access | Times Cited: 151
Voltage Stability Prediction Using Active Machine Learning
Vuk Malbaša, Ce Zheng, Po‐Chen Chen, et al.
IEEE Transactions on Smart Grid (2017) Vol. 8, Iss. 6, pp. 3117-3124
Closed Access | Times Cited: 121
Online Active Learning for Drifting Data Streams
Sanmin Liu, Shan Xue, Jia Wu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 1, pp. 186-200
Closed Access | Times Cited: 56
Risks and uncertainties in carbon capture, transport, and storage projects: A comprehensive review
Seyed Kourosh Mahjour, Salah A. Faroughi
Gas Science and Engineering (2023) Vol. 119, pp. 205117-205117
Open Access | Times Cited: 37
Active learning for data streams: a survey
Davide Cacciarelli, Murat Külahçı
Machine Learning (2023) Vol. 113, Iss. 1, pp. 185-239
Open Access | Times Cited: 23
On-line active learning: A new paradigm to improve practical useability of data stream modeling methods
Edwin Lughofer
Information Sciences (2017) Vol. 415-416, pp. 356-376
Closed Access | Times Cited: 83
Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation
Edwin Lughofer, Mahardhika Pratama, Igor Škrjanc
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 4, pp. 1854-1865
Closed Access | Times Cited: 80
Incremental Missing-Data Imputation for Evolving Fuzzy Granular Prediction
Cristiano Mesquita Garcia, Daniel Leite, Igor Škrjanc
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 10, pp. 2348-2362
Closed Access | Times Cited: 63
Autonomous learning for fuzzy systems: a review
Xiaowei Gu, Jungong Han, Qiang Shen, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7549-7595
Open Access | Times Cited: 33
Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning
Hua Zuo, Jie Lü, Guangquan Zhang, et al.
IEEE Transactions on Fuzzy Systems (2018) Vol. 27, Iss. 2, pp. 291-303
Open Access | Times Cited: 51
Learning data streams online — An evolving fuzzy system approach with self-learning/adaptive thresholds
Dongjiao Ge, Xiao‐Jun Zeng
Information Sciences (2019) Vol. 507, pp. 172-184
Closed Access | Times Cited: 49
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams
Alberto Cano, Bartosz Krawczyk
Pattern Recognition (2018) Vol. 87, pp. 248-268
Closed Access | Times Cited: 48
A Self-Evolving Fuzzy System Which Learns Dynamic Threshold Parameter by Itself
Dongjiao Ge, Xiao‐Jun Zeng
IEEE Transactions on Fuzzy Systems (2018) Vol. 27, Iss. 8, pp. 1625-1637
Open Access | Times Cited: 47
Data Stream Classification by Dynamic Incremental Semi-Supervised Fuzzy Clustering
Gabriella Casalino, Giovanna Castellano, Corrado Mencar
International Journal of Artificial Intelligence Tools (2019) Vol. 28, Iss. 08, pp. 1960009-1960009
Open Access | Times Cited: 44
An Online Robust Support Vector Regression for Data Streams
Hang Yu, Jie Lü, Guangquan Zhang
IEEE Transactions on Knowledge and Data Engineering (2020), pp. 1-1
Closed Access | Times Cited: 40
Scarcity of Labels in Non-Stationary Data Streams: A Survey
Conor Fahy, Shengxiang Yang, Mario Góngora
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-39
Open Access | Times Cited: 24
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing
Jun Jiang, Fagui Liu, Wing W. Y. Ng, et al.
Computer Communications (2023) Vol. 200, pp. 86-94
Closed Access | Times Cited: 14
Angus: efficient active learning strategies for provenance based intrusion detection
Lin Wu, Yulai Xie, Jin Li, et al.
Cybersecurity (2025) Vol. 8, Iss. 1
Open Access
Robust online active learning
Davide Cacciarelli, Murat Külahçı, John Tyssedal
Quality and Reliability Engineering International (2023) Vol. 40, Iss. 1, pp. 277-296
Open Access | Times Cited: 12
A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties
Ayad Al-Mahturi, Fendy Santoso, Matthew Garratt, et al.
Robotics (2023) Vol. 12, Iss. 2, pp. 40-40
Open Access | Times Cited: 10
Recent advances in scaling‐down sampling methods in machine learning
Amr ElRafey, Janusz Wojtusiak
Wiley Interdisciplinary Reviews Computational Statistics (2017) Vol. 9, Iss. 6
Closed Access | Times Cited: 26
Incremental adaptive semi-supervised fuzzy clustering for data stream classification
Gabriella Casalino, Giovanna Castellano, Corrado Mencar
(2018), pp. 1-7
Closed Access | Times Cited: 24
On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks
Edwin Lughofer, Alexandru-Ciprian Zăvoianu, Robert A. Pollak, et al.
Information Sciences (2020) Vol. 537, pp. 425-451
Open Access | Times Cited: 23
An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data
Thanh Tung Khuat, Bogdan Gabryś
Applied Soft Computing (2023) Vol. 137, pp. 110152-110152
Open Access | Times Cited: 7
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