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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:

Using meta-learning for multi-target regression
Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, et al.
Information Sciences (2021) Vol. 584, pp. 665-684
Open Access | Times Cited: 12

Showing 12 citing articles:

Auto-MatRegressor: liberating machine learning alchemists
Yue Liu, Shuangyan Wang, Zhengwei Yang, et al.
Science Bulletin (2023) Vol. 68, Iss. 12, pp. 1259-1270
Closed Access | Times Cited: 26
Prediction of geology condition for slurry pressure balanced shield tunnel with super-large diameter by machine learning algorithms
Deming Xu, Yusheng Wang, Jingqi Huang, et al.
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104852-104852
Closed Access | Times Cited: 36
How effective are discrete-continuous multi-task learning compared to single-output models? Insights from travel mode and departure time analysis
Mohamad Ali Khalil, Mahmudur Rahman Fatmi
Expert Systems with Applications (2025), pp. 127002-127002
Open Access
A Deep Learning Approach for Speech Emotion Recognition Optimization Using Meta-Learning
Lara Toledo Cordeiro Ottoni, André Luiz Carvalho Ottoni, Jés de Jesus Fiais Cerqueira
Electronics (2023) Vol. 12, Iss. 23, pp. 4859-4859
Open Access | Times Cited: 8
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines
Hesam Jalalian, Rafael M. O. Cruz
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 21, pp. 1-9
Closed Access | Times Cited: 1
Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning
Gabriel Jonas Aguiar, Alberto Cano
2021 IEEE International Conference on Big Data (Big Data) (2023)
Closed Access | Times Cited: 3
Two-stage unsupervised facial image quality measurement
Guangcheng Wang, Zhongyuan Wang, Baojin Huang, et al.
Information Sciences (2022) Vol. 611, pp. 432-445
Closed Access | Times Cited: 5
Adaptive open domain recognition by coarse-to-fine prototype-based network
Yuan Yuan, Xinxing He, Zhiyu Jiang
Pattern Recognition (2022) Vol. 128, pp. 108657-108657
Closed Access | Times Cited: 3
Multi-target regression via stochastic configuration networks with modular stacked structure
Shang Wu, Xin Liu, Gang Yu, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 7, pp. 2957-2972
Closed Access
Robust multi-target regression with improved stochastic configuration networks and its applications
Aijun Yan, Kaicheng Hu, Dianhui Wang, et al.
Information Sciences (2024), pp. 121480-121480
Closed Access
MetaLIRS: Meta-learning for Imputation and Regression Selection
Işıl Baysal Erez, Jan Flokstra, Mannes Poel, et al.
Lecture notes in computer science (2024), pp. 155-166
Closed Access
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation
João Luiz Junho Pereira, Kate Smith‐Miles, Mario Andrés Muñoz, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 2, pp. 461-500
Closed Access | Times Cited: 1
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