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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:

Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation
Ryan‐Rhys Griffiths, Alexander A. Aldrick, Miguel García-Ortegón, et al.
Machine Learning Science and Technology (2021) Vol. 3, Iss. 1, pp. 015004-015004
Open Access | Times Cited: 22

Showing 22 citing articles:

Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Häse, Matteo Aldeghi, Riley J. Hickman, et al.
Applied Physics Reviews (2021) Vol. 8, Iss. 3
Open Access | Times Cited: 108
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation
Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, et al.
Journal of Artificial Intelligence Research (2022) Vol. 74, pp. 1269-1349
Open Access | Times Cited: 40
Explainable uncertainty quantifications for deep learning-based molecular property prediction
Chu-I Yang, Yi‐Pei Li
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 34
Uncertainty in XAI: Human Perception and Modeling Approaches
Teodor Chiaburu, Frank Haußer, Felix Bießmann
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 1170-1192
Open Access | Times Cited: 4
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, et al.
Engineering (2023) Vol. 27, pp. 23-30
Open Access | Times Cited: 10
Compactness matters: Improving Bayesian optimization efficiency of materials formulations through invariant search spaces
Sterling G. Baird, Jason R. Hall, Taylor D. Sparks
Computational Materials Science (2023) Vol. 224, pp. 112134-112134
Open Access | Times Cited: 8
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 12
Single Gaussian process method for arbitrary tokamak regimes with a statistical analysis
J. Leddy, Sandeep Madireddy, E. C. Howell, et al.
Plasma Physics and Controlled Fusion (2022) Vol. 64, Iss. 10, pp. 104005-104005
Open Access | Times Cited: 8
A scenario analysis under epistemic uncertainty in Natech accidents: imprecise probability reasoning in Bayesian Network
Qiuhan Wang, Mei Cai, Guo Wei
Environmental Research Communications (2022) Vol. 4, Iss. 1, pp. 015008-015008
Open Access | Times Cited: 7
A Novel Social Network Group Decision-Making Method in a Quantum Framework
Mei Cai, Xinglian Jian, Yuanyuan Hong, et al.
International Journal of Computational Intelligence Systems (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Compactness Matters: Improving Bayesian Optimization Efficiency of Materials Formulations through Invariant Search Spaces
Sterling G. Baird, Jason R. Hall, Taylor D. Sparks
(2023)
Open Access | Times Cited: 3
Model-independent reconstruction of growth index via Gaussian process
Yuhao Mu, En-Kun Li, Lixin Xu
Classical and Quantum Gravity (2023) Vol. 40, Iss. 22, pp. 225003-225003
Closed Access | Times Cited: 3
Bayesian Optimization for Expensive Smooth-Varying Functions
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
IEEE Intelligent Systems (2022) Vol. 37, Iss. 4, pp. 44-55
Closed Access | Times Cited: 4
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
A Heteroscedastic Robust Bayesian Optimization Method for Solving Simulation-Based Transportation Problems
Jinbiao Huo, Zhiyuan Liu, Ziyuan Gu, et al.
(2024)
Closed Access
Multi-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selection
Md. Menhazul Abedin, Koji Tabata, Yoshihiro Matsumura, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 1
Closed Access
Bayesian optimisation for additive screening and yield improvements in chemical reactions – beyond one-hot encoding
Bojana Ranković, Ryan‐Rhys Griffiths, Henry B. Moss, et al.
(2023)
Open Access | Times Cited: 1
Bayesian optimisation for additive screening and yield improvements in chemical reactions – beyond one-hot encodings
Bojana Ranković, Ryan‐Rhys Griffiths, Henry B. Moss, et al.
(2022)
Open Access | Times Cited: 2
Active Machine Learning for Chemical Engineers: a Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, et al.
(2022)
Open Access | Times Cited: 1
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML
Sebastian Pineda Arango, Hadi S. Jomaa, Martin Wistuba, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Heteroscedastic Bayesian optimization using generalized product of experts
Saulius Tautvaišas, Julius Žilinskas
Journal of Global Optimization (2023)
Closed Access
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