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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:

Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
Lucas Zimmer, Marius Lindauer, Frank Hutter
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 43, Iss. 9, pp. 3079-3090
Closed Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl, Martin Binder, Michel Lang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 316
Review of ML and AutoML Solutions to Forecast Time-Series Data
Ahmad Alsharef, Karan Aggarwal, Sonia Sonia, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5297-5311
Open Access | Times Cited: 90
MLOps - Definitions, Tools and Challenges
Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2022), pp. 0453-0460
Open Access | Times Cited: 71
An improved hyperparameter optimization framework for AutoML systems using evolutionary algorithms
Amala Mary Vincent, P. Jidesh
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 56
Efficient Methods for Natural Language Processing: A Survey
Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 826-860
Open Access | Times Cited: 46
Review of multi-fidelity models
M. Giselle Fernández-Godino
Advances in Computational Science and Engineering (2023) Vol. 1, Iss. 4, pp. 351-400
Open Access | Times Cited: 41
Automated machine learning: past, present and future
Mitra Baratchi, Can Wang, Steffen Limmer, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 15
Systematic review on neural architecture search
Sasan Salmani Pour Avval, Nathan D. Eskue, Roger M. Groves, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
Review of multi-fidelity models
M. Giselle Fernández-Godino
arXiv (Cornell University) (2016)
Open Access | Times Cited: 111
A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
Luís Ferreira, André Pilastri, Carlos Martins, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Open Access | Times Cited: 89
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 67
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 54
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Denis A. Engemann, Apolline Mellot, Richard Höchenberger, et al.
NeuroImage (2022) Vol. 262, pp. 119521-119521
Open Access | Times Cited: 49
Simple Deterministic Selection-Based Genetic Algorithm for Hyperparameter Tuning of Machine Learning Models
Ismail Damilola Raji, Habeeb Bello-Salau, Ime J. Umoh, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1186-1186
Open Access | Times Cited: 45
An Adaptive Image Segmentation Network for Surface Defect Detection
Taiheng Liu, Zhaoshui He, Zhijie Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8510-8523
Closed Access | Times Cited: 37
Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede, Alexander Tornede, Jonas Hanselle, et al.
Journal of Artificial Intelligence Research (2023) Vol. 77, pp. 427-457
Open Access | Times Cited: 23
Benchmarking AutoML for regression tasks on small tabular data in materials design
Felix Conrad, Mauritz Mälzer, Michael Schwarzenberger, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28
Neural Architecture Search Benchmarks: Insights and Survey
Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath, et al.
IEEE Access (2023) Vol. 11, pp. 25217-25236
Open Access | Times Cited: 18
A review of the application of deep learning in obesity: From early prediction aid to advanced management assistance
X. Yi, Yangzhige He, Shan Gao, et al.
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2024) Vol. 18, Iss. 4, pp. 103000-103000
Closed Access | Times Cited: 5
Hyperparameter Tuning MLP’s for Probabilistic Time Series Forecasting
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Lecture notes in computer science (2024), pp. 264-275
Closed Access | Times Cited: 5
Parameter-free dynamic fidelity selection for automated machine learning
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
Applied Soft Computing (2025) Vol. 171, pp. 112750-112750
Closed Access
Beyond Iterative Tuning: Zero-Shot Hyperparameter Optimisation for Decision Trees
Tarek Salhi, John R. Woodward
Lecture notes in computer science (2025), pp. 359-374
Closed Access
Time Series Data Modeling Using Advanced Machine Learning and AutoML
Ahmad Alsharef, Sonia Sonia, Karan Kumar, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 15292-15292
Open Access | Times Cited: 23
SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet‐of‐Things
Jiacheng Huang, Guo‐Qiang Zeng, Guanggang Geng, et al.
IET Cyber-Systems and Robotics (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 15
Automated hyperparameter tuning for crack image classification with deep learning
André Luiz Carvalho Ottoni, A. M. Felippe de Souza, Marcela S. Novo
Soft Computing (2023) Vol. 27, Iss. 23, pp. 18383-18402
Closed Access | Times Cited: 14
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