Open Access Helper

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:

AutoML Loss Landscapes
Yasha Pushak, Holger H. Hoos
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 3, pp. 1-30
Closed Access | Times Cited: 10

Showing 10 citing articles:

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: 14
Auto-sktime: Automated Time Series Forecasting
Marc-André Zöller, Marius Lindauer, Marco F. Huber
Lecture notes in computer science (2025), pp. 456-471
Closed Access
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
Marcel Hoffmann, Rainer Lasch
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-33
Closed Access | Times Cited: 4
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour
Angus Kenny, Tapabrata Ray, Steffen Limmer, et al.
Lecture notes in computer science (2024), pp. 115-129
Closed Access
HPO $$\times $$ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, et al.
Lecture notes in computer science (2022), pp. 575-589
Closed Access | Times Cited: 3
Analysis of Neutrality of AutoML Search Spaces with Local Optima Networks
Matheus Cândido Teixeira, Gisele L. Pappa
Lecture notes in computer science (2022), pp. 473-487
Closed Access | Times Cited: 3
Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models
Arnaud Liefooghe, Ryoji Tanabe, Sebástien Vérel
Lecture notes in computer science (2024), pp. 360-376
Closed Access
Integrated model and automatically designed solver for power system restoration
Xiaohui Zhao, Xia Li, Qi Zhao, et al.
Applied Soft Computing (2024), pp. 112525-112525
Closed Access
On the Effect of Solution Representation and Neighborhood Definition in AutoML Fitness Landscapes
Matheus Cândido Teixeira, Gisele L. Pappa
Lecture notes in computer science (2023), pp. 227-243
Closed Access | Times Cited: 1
Using Automated Algorithm Configuration for Parameter Control
Deyao Chen, Maxim Buzdalov, Carola Doerr, et al.
(2023), pp. 38-49
Open Access | Times Cited: 1
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