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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:

Modern Bayesian Experimental Design
Tom Rainforth, Adam Foster, Desi R. Ivanova, et al.
Statistical Science (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Automating the practice of science: Opportunities, challenges, and implications
Sebastian Musslick, Laura Bartlett, Suyog Chandramouli, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 5
Open Access | Times Cited: 1
Hybrid Semi-mechanistic and Machine Learning Solubility Regression Modeling for Crystallization Process Development
Gustavo Lunardon Quilló, Satyajeet Bhonsale, A. Collas, et al.
Crystal Growth & Design (2025)
Closed Access
Bayesian optimal design accelerates discovery of soft material properties from bubble dynamics
Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson
Computational Mechanics (2025)
Closed Access
Modern Methods in Uncertainty Quantification for NDE 4.0
James E. Warner, Patrick E. Leser, William C. Schneck
(2025), pp. 1-42
Closed Access
Bayesian design for sampling anomalous spatio-temporal data
Katie Buchhorn, Kerrie Mengersen, Edgar Santos–Fernández, et al.
Statistics and Computing (2025) Vol. 35, Iss. 3
Open Access
Causal machine learning for single-cell genomics
Alejandro Tejada-Lapuerta, Paul A. Bertin, Stefan Bauer, et al.
Nature Genetics (2025)
Open Access
Accelerating scientific progress through Bayesian adversarial collaboration
Andrew W. Corcoran, Jakob Hohwy, Karl Friston
Neuron (2023) Vol. 111, Iss. 22, pp. 3505-3516
Open Access | Times Cited: 12
Bayesian active learning with model selection for spectral experiments
Tomohiro Nabika, Kenji Nagata, Masaichiro Mizumaki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Multi-Stage Optimal Experimental Design and Setup Strategies in Absence of System Pre-Knowledge
Florian Stroebl, Florian Schaeufl, Oliver Bohlen, et al.
IEEE Access (2024) Vol. 12, pp. 120440-120453
Open Access | Times Cited: 2
Towards a Science Exocortex
Kevin G. Yager
Digital Discovery (2024)
Open Access | Times Cited: 1
Variational Bayesian optimal experimental design with normalizing flows
Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117457-117457
Closed Access | Times Cited: 1
Rationalised experiment design for parameter estimation with sensitivity clustering
Harsh Chhajer, Rahul Roy
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Bayesian design of measurements for magnetorelaxometry imaging *
Tapio Helin, Nuutti Hyvönen, Jarno Maaninen, et al.
Inverse Problems (2023) Vol. 39, Iss. 12, pp. 125020-125020
Open Access | Times Cited: 2
Bayesian Design for Sampling Anomalous Spatio-Temporal Data
Katie Buchhorn, Kerrie Mengersen, Edgar Santos–Fernández, et al.
Research Square (Research Square) (2024)
Open Access
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
Ziqiao Ao, Jinglai Li
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 20311-20319
Open Access
Bayesian experimental design for linear elasticity
Sarah Eberle, Nuutti Hyvönen
Inverse Problems and Imaging (2024) Vol. 18, Iss. 6, pp. 1294-1319
Open Access
Identifying Bayesian optimal experiments for uncertain biochemical pathway models
Natalie M. Isenberg, Susan D. Mertins, Byung-Jun Yoon, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Fast QoI-Oriented Bayesian Experimental Design with Unified Neural Response Surfaces for Kinetic Uncertainty Reduction
Huaibo Chen, Qiaofeng Li, Sili Deng
Energy & Fuels (2024) Vol. 38, Iss. 16, pp. 15630-15641
Closed Access
Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection
T Wang, Virginia Florian, Richard Schielein, et al.
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 208-208
Open Access
Bayesian Experimental Design for Head Imaging by Electrical Impedance Tomography
Nuutti Hyvönen, Antti Jääskeläinen, Raj Kumar Maity, et al.
SIAM Journal on Applied Mathematics (2024) Vol. 84, Iss. 4, pp. 1718-1741
Open Access
Older adults are relatively more susceptible to impulsive social influence than young adults
Zhilin Su, Mona M. Garvert, Lei Zhang, et al.
Communications Psychology (2024) Vol. 2, Iss. 1
Open Access
A Bayesian Decision Theory Paradigm for Test and Evaluation
James P. Ferry, Adam S. Ahmed
2022 25th International Conference on Information Fusion (FUSION) (2024), pp. 1-8
Closed Access
Deep Bayesian Experimental Design for Drug Discovery
Muhammad Arslan Masood, Tianyu Cui, Samuel Kaski
Lecture notes in computer science (2024), pp. 149-159
Open Access
Model-Based Sequential Design of Experiments with Machine Learning for Aerospace Systems
Torsten Gerling, Kai Dresia, Jan C. Deeken, et al.
Aerospace (2024) Vol. 11, Iss. 11, pp. 934-934
Open Access
Assessing the influence of multimedia instruction on knowledge transfer in higher education: Multimodal learning experiences
Daigo Bernadetha Haule, Thanaa Shaker, Godfrey Yohanes Nkwera
Indonesian Journal of Education and Pedagogy. (2024) Vol. 1, Iss. 3, pp. 142-60
Closed Access
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