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Leveraging GANs for citation intent classification and its impact on citation network analysis
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“Different types of knowledge contributions are not equally relevant in impact evaluation, and their importance depends on the specific analytical purpose.”
From From citation intent to knowledge contribution: Classifying what cited papers actually contribute (2026) · cites this paper as Bezerra et al., 2026
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From citation intent to knowledge contribution: Classifying what cited papers actually contribute
Quan, Z., Liang, Z., Ma, M., Wei, J., Li, G., & Mao, J. (2026) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.70127
Metadata
- Authors
- Bezerra, D. A., Silva, F. N., & Amancio, D. R.
- Venue
- Journal of Informetrics
- Publisher
- Elsevier BV
- Published
- 2026-06
- Volume
- 20
- Issue
- 2
- Pages
- 101791
- ISSN
- 1751-1577
- Cited by
- 6
- References
- 1
- Language
- en
- Licence
- Funders
- National Council for Scientific and Technological Development
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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