Bayesian Network Visualization
Bayesian Network Visualization is a methodological framework for visually representing probabilistic dependencies and conditional independence relationships among variables in a Bayesian network, distinguished by its integration of graph-theoretic structures with probabilistic inference to communicate uncertainty in relational data.
25
Publications
931
Citations
79
Authors
38
Institutions
Publications per year
2017–2026
13
25
Bayesian analysis for social data: A step-by-step protocol and interpretation
Quan‐Hoang Vuong, Viet‐Phuong La, Minh‐Hoang Nguyen et al. · MethodsX · 2020 · 164 citations · Full text
<i>CBNplot</i>: Bayesian network plots for enrichment analysis
Noriaki Sato, Yoshinori Tamada, Guangchuang Yu et al. · Bioinformatics · 2022 · 77 citations · Full text
Dries Landuyt, Katrien Van der Biest, Steven Broekx et al. · Environmental Modelling & Software · 2015 · 57 citations
1–5 of 25
79
2
h-index
2
h-index
2 publications · 140 citations
2
h-index
2
h-index
2
h-index
1–5 of 79
38

University of Helsinki
Helsinki, Finland
2 h-index
9 publications
174 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
6 publications
172 citations

University of Novi Sad
Novi Sad, Serbia
1 h-index
3 publications
48 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
3 publications
39 citations
Health Sciences and Nutrition
Adelaide, Australia
1 h-index
1 publications
10 citations

Ghent University
Ghent, Belgium
1 h-index
2 publications
114 citations

Nanjing Medical University
Nanjing, China
1 h-index
7 publications
133 citations
Fukuoka University
Fukuoka, Japan
1 h-index
4 publications
108 citations
1–8 of 38
2 publications · 61 citations
2
h-index
1 publications · 16 citations
1
h-index
1 publications · 22 citations
1
h-index
Repository · 1 publications · 52 citations
1
h-index
Repository · 1 publications · 16 citations
1
h-index
1–5