Uncertainty-Based Ranking is a ranking methodology that distinguishes itself by incorporating measures of uncertainty—such as probabilistic confidence, entropy, or variance—into the prioritization process to systematically address ambiguity or lack of certainty in the ranking criteria or data.
145
Publications
7.7K
Citations
345
Authors
215
Institutions
Publications per year
2017–2026
41
Parents
Publications
145
Zhiping Xu, Q. L. Da · International Journal of Intelligent Systems · 2002 · 542 citations
Ranking queries on uncertain data
Hua Ming, Jian Pei, Wenjie Zhang et al. · 2008 · 269 citations
Portfolio theory of information retrieval
Jun Wang, Jianhan Zhu · 2009 · 242 citations
1–5 of 145
Authors
345
- XL
5
h-index
- JP
5
h-index
- WZ
4
h-index
- KYKe Yi
Hong Kong University of Science and Technology, Hong Kong SAR China
4 publications · 473 citations
4
h-index
- JW
4
h-index
1–5 of 345
Institutions
215
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
12 publications
936 citations
Central South University
Changsha, China
5 h-index
14 publications
395 citations
Simon Fraser University
Burnaby, Canada
5 h-index
7 publications
681 citations
Florida State University
Tallahassee, United States
4 h-index
6 publications
572 citations
Politecnico di Milano
Milan, Italy
4 h-index
12 publications
428 citations
Hunan University
Changsha, China
4 h-index
12 publications
465 citations
UNSW Sydney
Sydney, Australia
4 h-index
13 publications
860 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
188 citations
1–8 of 215
Venues
- Information Sciences
6 publications · 171 citations
6
h-index
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 6 publications · 184 citations
6
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- European Journal of Operational Research
5 publications · 903 citations
5
h-index
- Proceedings of the VLDB Endowment
PVLDB · 4 publications · 250 citations
4
h-index
- The VLDB Journal
4 publications · 169 citations
4
h-index
1–5