Automated Concept Mapping
Automated Concept Mapping is a computational method that generates concept maps from textual or discourse data without manual intervention, distinguishing itself from manual or semi-automated approaches by fully leveraging algorithms to identify, extract, and organize key concepts and their interrelationships.
101
Publications
4.7K
Citations
290
Authors
125
Institutions
Publications per year
2017–2026
19
Parents
101
1–5 of 101
290
National Taiwan University of Science and Technology, Taiwan
5 publications · 200 citations
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3
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2
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2
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2
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1–5 of 290
125
National Taiwan University of Science and Technology
Taipei, Taiwan
8 h-index
15 publications
881 citations

The University of Sydney
Sydney, Australia
3 h-index
5 publications
205 citations
National Cheng Kung University
Tainan City, Taiwan
3 h-index
7 publications
381 citations

Heriot-Watt University
Edinburgh, United Kingdom
2 h-index
9 publications
174 citations

Hiroshima University
Hiroshima, Japan
2 h-index
7 publications
334 citations

Polytechnique Montréal
Montreal, Canada
2 h-index
7 publications
73 citations
University of Ferrara
Ferrara, Italy
2 h-index
4 publications
68 citations
Jinwen University of Science and Technology
Xindian District, Taiwan
2 h-index
2 publications
107 citations
1–8 of 125
8 publications · 421 citations
8
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Repository · 3 publications · 74 citations
3
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3 publications · 299 citations
3
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3 publications · 130 citations
3
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2 publications · 66 citations
2
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1–5