Towards employing native information in citation function classification
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Section titles have frequently been used as auxiliary or additional features within multitask learning frameworks for CIC.
“section titles have frequently been used as auxiliary or additional features within multitask learning frameworks for CIC (Cohan et al., 2019; Qi et al., 2023; Zhang et al., 2022)”
From CiteFusion: an ensemble framework for citation intent classification harnessing dual-model binary couples and SHAP analyses (2025) · cites this paper as Zhang et al., 2022
The citation lists haven’t been fetched yet
References 45 · Cited by 28
- Authors
- Zhang, Y., Zhao, R., Wang, Y., Chen, H., Mahmood, A., Zaib, M., Zhang, W. E., & Sheng, Q. Z.
- Affiliations
- Wuhan University (CN)
- Macquarie University (AU)
- University of North Texas (US)
- The University of Adelaide (AU)
- Corresponding author
- Zhao, Rongying
- Venue
- Scientometrics
- Published
- 2022-01-16
- Volume
- 127
- Issue
- 11
- Pages
- 6557-6577
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- OpenAlex
- W4205419297
- Cited by
- 28
- References
- 45
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 5 · 2023: 5 · 2022: 3
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-07-18)
- Open access
- closed
- Locations
- Scientometrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Keywords
- citation context, citation networks, text representation models, citation metadata, scientific text analysis
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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