Merkle Trees
Merkle Trees is a cryptographic data structure that organizes hash values in a hierarchical binary tree format, where each non-leaf node is the hash of its child nodes, enabling efficient and secure verification of large datasets.
207
Publications
9.4K
Citations
677
Authors
288
Institutions
Publications per year
2017–2026
138
Parents
207
1–5 of 207
677
4
h-index
4
h-index
4
h-index
Nanjing University of Information Science and Technology, China
4 publications · 135 citations
4
h-index
4
h-index
1–5 of 677
288

Xidian University
Xi'an, China
10 h-index
25 publications
865 citations
State Key Laboratory of Cryptology
Beijing, China
8 h-index
15 publications
855 citations
Wuhan University
Wuhan, China
7 h-index
19 publications
923 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
10 publications
673 citations
North Carolina State University
Raleigh, United States
7 h-index
19 publications
1.4K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
9 publications
374 citations

University of Central Florida
Orlando, United States
5 h-index
6 publications
236 citations

Huazhong University of Science and Technology
Wuhan, China
5 h-index
13 publications
1.2K citations
1–8 of 288
8 publications · 267 citations
8
h-index
TDSC · 6 publications · 346 citations
6
h-index
3 publications · 97 citations
3
h-index
3 publications · 147 citations
3
h-index
3 publications · 112 citations
3
h-index
1–5