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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:

Towards Automatically-Tuned Deep Neural Networks
Hector Mendoza, Aaron Klein, Matthias Feurer, et al.
˜The œSpringer series on challenges in machine learning (2019), pp. 135-149
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
Thippa Reddy Gadekallu, Dharmendra Singh Rajput, Praveen Kumar Reddy Maddikunta, et al.
Journal of Real-Time Image Processing (2020) Vol. 18, Iss. 4, pp. 1383-1396
Closed Access | Times Cited: 268
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
Yesi Novaria Kunang, Siti Nurmaini, Deris Stiawan, et al.
Journal of Information Security and Applications (2021) Vol. 58, pp. 102804-102804
Closed Access | Times Cited: 150
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
Automated Machine Learning: The New Wave of Machine Learning
Karansingh Chauhan, Shreena Jani, Dhrumin Thakkar, et al.
(2020), pp. 205-212
Closed Access | Times Cited: 85
Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping
Joshua C.O. Koh, G. Spangenberg, Surya Kant
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 858-858
Open Access | Times Cited: 77
Auto-Sklearn 2.0: The Next Generation
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 70
Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
Caner Erden
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 3, pp. 2959-2982
Closed Access | Times Cited: 35
Hyperparameter Tuning for Machine and Deep Learning with R
Eva Bartz, Thomas Bartz–Beielstein, Martin Zaefferer, et al.
(2023)
Open Access | Times Cited: 31
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 28
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
David Jacob Kedziora, Katarzyna Musiał, Bogdan Gabryś
Foundations and Trends® in Machine Learning (2024) Vol. 17, Iss. 4, pp. 590-766
Open Access | Times Cited: 5
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
Amir Yazdanbakhsh, Ahmed T. Elthakeb, Prannoy Pilligundla, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 48
Techniques for Automated Machine Learning
Yi-Wei Chen, Qingquan Song, Xia Hu
ACM SIGKDD Explorations Newsletter (2021) Vol. 22, Iss. 2, pp. 35-50
Open Access | Times Cited: 36
Hyperparameter self-tuning for data streams
Bruno Veloso, João Gama, Benedita Malheiro, et al.
Information Fusion (2021) Vol. 76, pp. 75-86
Open Access | Times Cited: 32
Transforming Real-Time Data Processing: The Impact of AutoML on Dynamic Data Pipelines
Arunkumar Thirunagalingam
SSRN Electronic Journal (2025)
Closed Access
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodríguez, et al.
Information Fusion (2020) Vol. 67, pp. 161-194
Open Access | Times Cited: 31
mAML: an automated machine learning pipeline with a microbiome repository for human disease classification
Fenglong Yang, Quan Zou
Database (2020) Vol. 2020
Open Access | Times Cited: 27
Automatic model selection for fully connected neural networks
David Laredo, Shangjie Frank, Ghazaale Leylaz, et al.
International Journal of Dynamics and Control (2020) Vol. 8, Iss. 4, pp. 1063-1079
Closed Access | Times Cited: 22
A comparative study of an on premise AutoML solution for medical image classification
Kabilan Elangovan, Gilbert Lim, Daniel Shu Wei Ting
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphone
Gautam Shreedhar Bhat, Nikhil Shankar, Issa Panahi
(2020), pp. 956-959
Open Access | Times Cited: 16
The promise of automated machine learning for the genetic analysis of complex traits
Elisabetta Manduchi, Joseph D. Romano, Jason H. Moore
Human Genetics (2021) Vol. 141, Iss. 9, pp. 1529-1544
Open Access | Times Cited: 15
Enhancing the analysis of software failures in cloud computing systems with deep learning
Domenico Cotroneo, Luigi De Simone, Pietro Liguori, et al.
Journal of Systems and Software (2021) Vol. 181, pp. 111043-111043
Open Access | Times Cited: 14
Ontology-based Meta AutoML
Alexander Zender, Bernhard G. Humm
Integrated Computer-Aided Engineering (2022) Vol. 29, Iss. 4, pp. 351-366
Closed Access | Times Cited: 10
Privacy-Preserving Multi-Granular Federated Neural Architecture Search A General Framework
Zijie Pan, Hu Li, Weixuan Tang, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 12
Synthesis of activity-based costing and deep learning to support cost management: A case study in the automotive industry
Frank Bodendorf, Jörg Franke
Computers & Industrial Engineering (2024) Vol. 196, pp. 110449-110449
Closed Access | Times Cited: 1
Automated Machine Learning for COVID-19 Forecasting
Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos
IEEE Access (2022) Vol. 10, pp. 94718-94737
Open Access | Times Cited: 7
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