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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:

Learning Under Concept Drift for Regression—A Systematic Literature Review
Marília Nayara Clemente de Almeida Lima, Manoel Alves de Almeida Neto, Telmo M. Silva Filho, et al.
IEEE Access (2022) Vol. 10, pp. 45410-45429
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A survey on machine learning for recurring concept drifting data streams
Andrés L. Suárez‐Cetrulo, David Quintana, Alejandro Cervantes
Expert Systems with Applications (2022) Vol. 213, pp. 118934-118934
Open Access | Times Cited: 59
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: 25
Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems
Methaq A. Shyaa, Noor Farizah Ibrahim, Zurinahni Zainol, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109143-109143
Open Access | Times Cited: 10
Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access | Times Cited: 1
Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review
Qiuyan Xiang, Lingling Zi, Xin Cong, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6515-6515
Open Access | Times Cited: 19
Computational applications of extended SIR models: A review focused on airborne pandemics
Teddy Lazebnik
Ecological Modelling (2023) Vol. 483, pp. 110422-110422
Closed Access | Times Cited: 19
A novel Edge architecture and solution for detecting concept drift in smart environments
Hassan Mehmood, Ahmed Khalid, Panos Kostakos, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 127-143
Open Access | Times Cited: 13
Fault detection and monitoring using a data-driven information-based strategy: Method, theory, and application
C Castro Ramírez, Jorge F. Silva, Ferhat Tamssaouet, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112403-112403
Closed Access
An online transfer kernel recursive algorithm for soft sensor modeling with variable working conditions
Tianming Zhang, Gaowei Yan, Rong Li, et al.
Control Engineering Practice (2023) Vol. 141, pp. 105726-105726
Closed Access | Times Cited: 8
A feature selection method based on Shapley values robust for concept shift in regression
C. Peter Sebastian, Carlos E. González-Guillén
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14575-14597
Open Access | Times Cited: 1
Transfer-learning enabled adaptive framework for load forecasting under concept-drift challenges in smart-grids across different-generation-modalities
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
Energy Reports (2024) Vol. 12, pp. 3519-3532
Open Access | Times Cited: 1
A Nature-Inspired Concept Drift Adaptation Method for Industrial Data Stream Regression
Martin Trat, Philipp Bergmann, Andreas Ott, et al.
Lecture notes in mechanical engineering (2024), pp. 3-13
Closed Access | Times Cited: 1
Application of an integrated RNN - ensemble method for the short-term forecast of inter-area oscillations modal parameters
Carlo Olivieri, Francesco de Paulis, Antonio Orlandi, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109790-109790
Closed Access | Times Cited: 3
Comparison of LSTM-Based Prediction Strategies for Grid Modal Parameters Forecast
Carlo Olivieri, Giorgio Maria Giannuzzi, Francesco de Paulis
(2023) Vol. 13, pp. 1-6
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
Training of Neural Networks to Classify Spatiotemporal Data by Probabilistic Fusion on Hopping Windows: Theory and Experiments
Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström
(2023)
Closed Access | Times Cited: 1
Evaluating the impact of drift detection mechanisms on stock market forecasting
Luis Fernando Panicachi Cocovilo Filho, Guilherme Palermo Coelho
Knowledge and Information Systems (2023)
Closed Access | Times Cited: 1
Scalable concept drift adaptation for stream data mining
Lisha Hu, Wenxiu Li, Yaru Lu, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6725-6743
Open Access
Intelligente Anlaufsteuerung für die Batteriezellenproduktion
Alexej Gossmann, Matthieu Poyer, Rui Yan Li, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2024) Vol. 119, Iss. 10, pp. 720-723
Closed Access
Radian Scaling and Its Application to Enhance Electricity Load Forecasting in Smart Cities Against Concept Drift
Mohd Hafizuddin Bin Kamilin, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon
Smart Cities (2024) Vol. 7, Iss. 6, pp. 3412-3436
Open Access
Concept drift monitoring for industrial load forecasting with artificial neural networks
Roland Zink, Borys Ioshchikhes, Matthias Weigold
Procedia CIRP (2024) Vol. 130, pp. 120-125
Open Access
Enhancement of Short-Term prediction capabilities of Inter-Area Grid Oscillations with a Multi-Variate Ensemble-based Method.
Carlo Olivieri, Francesco de Paulis, Lino Di Leonardo, et al.
Sustainable Energy Grids and Networks (2024), pp. 101604-101604
Open Access
Active learning for data streams: a survey
Davide Cacciarelli, Murat Külahçı
arXiv (Cornell University) (2023)
Open Access
A feature selection method based on Shapley values robust to concept shift in regression
C. Peter Sebastian, Carlos E. González-Guillén
arXiv (Cornell University) (2023)
Open Access
Assessment of a Multi-Step LSTM-based Ensemble Strategy for Short-term Grid Modal Parameters Forecast
Carlo Olivieri, Francesco de Paulis, Giorgio Maria Giannuzzi
(2023), pp. 48-54
Closed Access
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