Central Idea Detection
Central Idea Detection is a scholarly methodology within the field of text analysis that identifies the primary conceptual contribution of a research paper by distinguishing its core intellectual innovation from ancillary or supporting elements.
3
Publications
87
Citations
11
Authors
6
Institutions
Publications per year
2017–2026
3
Parents
3
1–4 of 3
11
1
h-index
1
h-index
1
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Institute of Scientific and Technical Information of China, China
1 publications · 48 citations
1
h-index
1–5 of 11
6
Stanford University
Stanford, United States
1 h-index
2 publications
38 citations
Institute of Scientific and Technical Information of China
Beijing, China
1 h-index
6 publications
288 citations

Jimei University
Xiamen, China
1 h-index
1 publications
48 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
19 citations
Ministry of Science and Technology of the People's Republic of China
Beijing, China
1 h-index
6 publications
288 citations

King Saud University
Riyadh, Saudi Arabia
1 h-index
1 publications
20 citations
Beijing Jiaotong University
Beijing, China
1 publications
10 citations
1–7 of 6
1 publications · 48 citations
1
h-index
Repository · 1 publications · 20 citations
1
h-index
1 publications · 19 citations
1
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1–3