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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:

Multimodal information gain in Bayesian design of experiments
Quan Long
Computational Statistics (2021) Vol. 37, Iss. 2, pp. 865-885
Open Access | Times Cited: 10

Showing 10 citing articles:

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
Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators
Jinwoo Go, Peng Chen
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117845-117845
Closed Access
Particle swarm optimization based leader-follower cooperative control in multi-agent systems
Xin Wang, Dongsheng Yang, Shuang Chen
Applied Soft Computing (2023) Vol. 151, pp. 111130-111130
Closed Access | Times Cited: 10
Variational Bayesian experimental design for geophysical applications: seismic source location, amplitude versus offset inversion, and estimating CO2 saturations in a subsurface reservoir
Dominik Strutz, Andrew Curtis
Geophysical Journal International (2023) Vol. 236, Iss. 3, pp. 1309-1331
Open Access | Times Cited: 5
Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty
Arved Bartuska, Luis Espath, Raúl Tempone
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 399, pp. 115320-115320
Open Access | Times Cited: 8
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty
Arved Bartuska, Luis Espath, Raúl Tempone
Statistics and Computing (2024) Vol. 35, Iss. 1
Open Access
Data-driven human and bot recognition from web activity logs based on hybrid learning techniques
Marek Gajewski, Olgierd Hryniewicz, Agnieszka Jastrzębska, et al.
Digital Communications and Networks (2023) Vol. 10, Iss. 4, pp. 1178-1188
Open Access | Times Cited: 1
A classification and extraction method of attribute hybrid big data based on Naive Bayes algorithm
Liantian Li, Ling Yang
Journal of Computational Methods in Sciences and Engineering (2023) Vol. 23, Iss. 4, pp. 1955-1970
Closed Access | Times Cited: 1
Variational Bayesian experimental design for geophysical applications
Dominik Strutz, Andrew Curtis
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Classroom Evaluation and Impact in Sino-Foreign Cooperative Education Through the Integration of WOA and Multimodal Information Fusion
Zhen Wang
2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT) (2023), pp. 310-315
Closed Access
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