Semantic Networks
Semantic Networks is a graph-based knowledge representation formalism that models a domain’s concepts or lexical items as nodes and explicitly encodes the semantic relations among them as labeled edges to enable structured mapping, inference, and analysis of meaning.
8.2K
Publications
570.7K
Citations
19.2K
Authors
3.3K
Institutions
Publications per year
2017–2026
3.2K
Variants
Semantic Net
8.2K
ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 61.8K citations
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers, Iryna Gurevych · 2019 · 10.9K citations · Full text
Jeffrey L. Elman · Cognitive Science · 1990 · 10.8K citations
1–5 of 8.2K
19.2K
25
h-index
24
h-index
23
h-index
21
h-index
21
h-index
1–5 of 19.2K
3.3K

Chinese Academy of Sciences
Beijing, China
51 h-index
395 publications
22.4K citations
Tsinghua University
Beijing, China
49 h-index
285 publications
22.8K citations
Stanford University
Stanford, United States
44 h-index
183 publications
23K citations
Carnegie Mellon University
Pittsburgh, United States
41 h-index
157 publications
18.5K citations
University of Chinese Academy of Sciences
Beijing, China
40 h-index
262 publications
17.8K citations
Nanyang Technological University
Singapore, Singapore
39 h-index
166 publications
9.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
39 h-index
191 publications
17.2K citations

Beijing University of Posts and Telecommunications
Beijing, China
36 h-index
266 publications
16.2K citations
1–8 of 3.3K
Conference · 105 publications · 8.2K citations
46
h-index
85 publications · 8.2K citations
44
h-index
Repository · 203 publications · 10.3K citations
44
h-index
97 publications · 4.2K citations
38
h-index
98 publications · 3.8K citations
36
h-index
1–5