Cited by 6

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Leveraging GANs for citation intent classification and its impact on citation network analysis

Bezerra, Davi A., Silva, Filipi N., Amancio, Diego R.·2026·Journal of Informetrics

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.joi.2026.101791

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 1 references

Research works printed but not linked: 39

  1. Agarwal, 2010, Automatically classifying the role of citations in biomedical articles, Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 11, 11
  2. Amancio, 2016, Network analysis of named entity co-occurrences in written texts, Europhysics Letters, 114, 10.1209/0295-5075/114/58005 · DOI
  3. Amancio, 2012, 2012, P01004
  4. Auti, T., Sarkar, R., Stearns, B., Ojha, A. K., Paul, A., Comerford, M., Megaro, J., Mariano, J., Herard, V., & Mccrae, J. P. (2022). Towards classification of legal pharmaceutical text using gan-bert. In M. Wan, & C.-R. Huang (Eds.), Proceedings of the first computing social responsibility workshop within the 13th language resources and evaluation conference the First Computing Social Responsibility Workshop within the 13th Language Resources and Evaluation Conference, (pp. 52–57). Marseille, France, European Language Resources Association https://aclanthology.org/2022.csrnlp-1.8/.
  5. Bird, 2008, The ACL anthology reference corpus: A reference dataset for bibliographic research in computational linguistics, 10.63317/4pzr64y6ri9j · DOI
  6. Brito, 2023, Analyzing the influence of prolific collaborations on authors productivity and visibility, Scientometrics, 128, 2471, 10.1007/s11192-023-04669-7 · DOI
  7. Brito, 2020, A complex network approach to political analysis: Application to the brazilian chamber of deputies, PloS ONE, 15, 10.1371/journal.pone.0229928 · DOI
  8. Bruzzese, 2022, Ecosystem services: A social and semantic network analysis of public opinion on twitter, International Journal of Environmental Research and Public Health, 19, 10.3390/ijerph192215012 · DOI
  9. Chatrinan, 2025, Gan-cite: Leveraging semi-supervised generative adversarial networks for citation function classification with limited data, Scientometrics, 130, 679, 10.1007/s11192-025-05233-1 · DOI
  10. Cohan, 2019, Structural scaffolds for citation intent classification in scientific publications, vol. 1, 3586
  11. Corrêa Jr, 2017, Patterns of authors contribution in scientific manuscripts, Journal of Informetrics, 11, 498, 10.1016/j.joi.2017.03.003 · DOI
  12. Diallo, 2016, Identifying key papers within a journal via network centrality measures, Scientometrics, 107, 1005, 10.1007/s11192-016-1891-8 · DOI
  13. Donner, 2025, Does citation context information enhance the validity of citation analysis for measuring research quality? an empirical comparison of peer assessments and enriched citations, Quantitative Science Studies, 07, 2025
  14. Garfield, 1965, vol. 269
  15. Garzone, 1997, Automated Classification of Citations Using Linguistic Semantic Grammars [microform]. Canadian theses on microfiche. Thesis
  16. Ghosh, 2020, Identifying citation sentiment and its influence while indexing scientific papers, 01, 10.24251/HICSS.2020.307 · DOI
  17. Jebari, 2021, The use of citation context to detect the evolution of research topics: A large-scale analysis, Scientometrics, 126, 2971, 10.1007/s11192-020-03858-y · DOI
  18. Jurgens, 2018, Measuring the evolution of a scientific field through citation frames, Transactions of the Association for Computational Linguistics, 6, 391, 10.1162/tacl_a_00028 · DOI · Paper page
  19. Knoth, 2012, Core: Three access levels to underpin open access, D-Lib Magazine, 18, 02012
  20. Leydesdorff, 2007, Betweenness centrality as an indicator of the interdisciplinarity of scientific journals, Journal of the American Society for Information Science and Technology, 58, 1303, 10.1002/asi.20614 · DOI
  21. Li, 1838, Use of citation per publication as an indicator to evaluate contingent valuation research, Scientometrics, 75, 97, 10.1007/s11192-007-1838-1 · DOI
  22. Ma, 2008, Bringing pagerank to the citation analysis, Evaluating Exploratory Search Systems Digital Libraries in the Context of Users’ Broader Activities, 44, 800
  23. Ma, 2025, Citation recommendation based on argumentative zoning of user queries, Journal of Informetrics, 19, 10.1016/j.joi.2024.101607 · DOI
  24. Mariani, 2016, Identification of milestone papers through time-balanced network centrality, Journal of Informetrics, 10, 1207, 10.1016/j.joi.2016.10.005 · DOI
  25. Milojević, 2012, How are academic age, productivity and collaboration related to citing behavior of researchers?, PloS ONE, 7, 2012, 10.1371/journal.pone.0049176 · DOI
  26. Moravcsik, 1975, Some results on the function and quality of citations, Social Studies of Science, 5, 86, 10.1177/030631277500500106 · DOI · Paper page
  27. Nishikawa, 2024, Exploring the applicability of large language models to citation context analysis, Scientometrics, 129, 6751, 10.1007/s11192-024-05142-9 · DOI
  28. Saier, 2020, Unarxive: A large scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata, Scientometrics, 125, 3085, 10.1007/s11192-020-03382-z · DOI
  29. Shi, 2024, Heterogeneous hypergraph learning for literature retrieval based on citation intents, Scientometrics, 129, 4167, 10.1007/s11192-024-05066-4 · DOI
  30. Silva, 2016, Using network science and text analytics to produce surveys in a scientific topic, Journal of Informetrics, 10, 487, 10.1016/j.joi.2016.03.008 · DOI
  31. Silva, 2023, vol. 4
  32. Small, 2018, Characterizing highly cited method and non-method papers using citation contexts: The role of uncertainty, Journal of Informetrics, 12, 461, 10.1016/j.joi.2018.03.007 · DOI
  33. Swales, 1986, Citation analysis and discourse analysis, Applied Linguistics - APPL LINGUIST, 7, 39, 10.1093/applin/7.1.39 · DOI · Paper page
  34. Thompson, 1991, Evaluation in the reporting verbs used in academic papers, Applied Linguistics, 12, 365, 10.1093/applin/12.4.365 · DOI
  35. White, 2004, Citation analysis and discourse analysis revisited, Applied Linguistics, 25, 89, 10.1093/applin/25.1.89 · DOI · Paper page
  36. Yan, 2009, Applying centrality measures to impact analysis: A coauthorship network analysis, Journal of the American Society for Information Science and Technology, 60, 2107, 10.1002/asi.21128 · DOI
  37. Zhang, 2024, Uncovering milestone papers: A network diffusion and game theory approach, Journal of Informetrics, 18, 10.1016/j.joi.2024.101545 · DOI
  38. Zhao, 2017, Functions of uni- and multi-citations: Implications for weighted citation analysis, Journal of Data and Information Science, 2, 51, 10.1515/jdis-2017-0003 · DOI
  39. Zhao, 2020, Deep and narrow impact: Introducing location filtered citation counting, Scientometrics, 122, 503, 10.1007/s11192-019-03280-z · DOI

Cited by

Sorted by citations

See all 6

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
Funders
National Council for Scientific and Technological Development

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 ›

Are you an author, or do you see a problem with this page? Request a review