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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:

Prior Knowledge Elicitation: The Past, Present, and Future
Petrus Mikkola, Osvaldo A. Martin, Suyog Chandramouli, et al.
Bayesian Analysis (2023) Vol. 19, Iss. 4
Open Access | Times Cited: 25

Showing 25 citing articles:

PyMC: a modern, and comprehensive probabilistic programming framework in Python
Oriol Abril, Virgile Andreani, Colin Carroll, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1516-e1516
Open Access | Times Cited: 457
Simulation-based prior knowledge elicitation for parametric Bayesian models
Florence Bockting, Stefan T. Radev, Paul‐Christian Bürkner
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Virtual laboratories: transforming research with AI
Arto Klami, Theo Damoulas, Ola Engkvist, et al.
Data-Centric Engineering (2024) Vol. 5
Open Access | Times Cited: 4
Identification of Endometriosis Pathophysiologic-Related Genes Based on Meta-Analysis and Bayesian Approach
Jieun Kang, Kwangjin Ahn, Jiyeon Oh, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 1, pp. 424-424
Open Access
Game Theoretic Models of Intangible Learning Data
Ben Hicks, Kirsty Kitto
(2025), pp. 970-976
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
Incorporating Additional Evidence as Prior Information to Resolve Non‐Identifiability in Bayesian Disease Model Calibration: A Tutorial
Daria Semochkina, Cathal Walsh
Statistics in Medicine (2025) Vol. 44, Iss. 6
Open Access
Multi-agent influence diagrams to hybrid threat modeling
Maarten C. Vonk, Anna V. Kononova, Thomas Bäck, et al.
The Journal of Defense Modeling and Simulation Applications Methodology Technology (2025)
Closed Access
Bayesian dynamic borrowing in group-sequential design for medical device studies
Maria Vittoria Chiaruttini, Giulia Lorenzoni, Darío Gregori
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access
A Primer on Bayesian Neural Networks: Review and Debates
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
Objective Model Selection in Physics: Exploring the Finite Information Quantity Approach
Boris Menin
Journal of Applied Mathematics and Physics (2024) Vol. 12, Iss. 05, pp. 1848-1889
Open Access | Times Cited: 2
Using Simulation to Optimize the Design of Adaptive Clinical Trials
Cal Robinson, Rulan S. Parekh, Brian H. Cuthbertson, et al.
Journal of the American Society of Nephrology (2024)
Closed Access | Times Cited: 1
A tutorial on the Bayesian statistical approach to inverse problems
Faaiq Waqar, Swati Patel, Cory M. Simon
APL Machine Learning (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 4
Explaining the Flaws in Human Random Generation as Local Sampling with Momentum
Lucas Castillo, Pablo León-Villagrá, Nick Chater, et al.
(2023)
Open Access | Times Cited: 2
A Workflow for Building Computationally Rational Models of Human Behavior
Suyog Chandramouli, Danqing Shi, Aini Putkonen, et al.
Computational Brain & Behavior (2024) Vol. 7, Iss. 3, pp. 399-419
Open Access
Assigning a Prior Distribution
Marcel van Oijen
Springer eBooks (2024), pp. 19-23
Closed Access
What Do We Know Without the Catalog? Eliciting Prior Beliefs from Experts for Aftershock Models
Max Schneider, Peter Guttorp
The Seismic Record (2024) Vol. 4, Iss. 4, pp. 259-267
Open Access
Prior Elicitation for Generalised Linear Models and Extensions
Geoffrey R. Hosack
Bayesian Analysis (2024) Vol. -1, Iss. -1
Open Access
A Tutorial on Tailored Simulation-Based Sample-Size Planning for Experimental Designs With Generalized Linear Mixed Models
Florian Pargent, T. Koch, Anne‐Kathrin Kleine, et al.
Advances in Methods and Practices in Psychological Science (2024) Vol. 7, Iss. 4
Open Access
Discussion of “Specifying prior distributions in reliability applications”: Towards new formal rules for informative prior elicitation?
Nicolás Bousquet
Applied Stochastic Models in Business and Industry (2023) Vol. 40, Iss. 1, pp. 92-102
Open Access | Times Cited: 1
PreliZ: A tool-box for prior elicitation
Alejandro A. Icazatti, Oriol Abril, Arto Klami, et al.
The Journal of Open Source Software (2023) Vol. 8, Iss. 89, pp. 5499-5499
Open Access | Times Cited: 1
Hybrid elicitation and quantile-parametrized likelihood
Dmytro Perepolkin, Benjamin Goodrich, Ullrika Sahlin
Statistics and Computing (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 1
Discussion of Specifying prior distributions in reliability applications
Evans Gouno
Applied Stochastic Models in Business and Industry (2023) Vol. 40, Iss. 1, pp. 127-129
Closed Access
Bayesian Analysis of Threshold Autoregressive Model with First Order Autoregressive Innovations
O. O. Ojo
Sri Lankan Journal of Applied Statistics (2023) Vol. 24, Iss. 3, pp. 108-120
Open Access
Hybrid elicitation and quantile-parametrized likelihood
Dmytro Perepolkin, Benjamin Goodrich, Ullrika Sahlin
(2021)
Open Access
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