Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity
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?
Citation counts are susceptible to factors likely unrelated to scientific quality, such as the popularity of research topics.
“their susceptibility to factors likely unrelated to scientific quality – such as the popularity of research topics59”
From Scientific publications that use promotional language in the abstract receive more citations and public attention (2025) · cites this paper as [59]
Cites
An algorithm for suffix stripping
Porter, M. F. (1980) · Program · doi:10.1108/eb046814 · Cited by 8,096 · see citing works
Acuna, D. E., Allesina, S., & Kording, K. P. (2012) · Nature · doi:10.1038/489201a · Cited by 249 · see citing works
The Impact of Author-Selected Keywords on Citation Counts
Uddin, S., & Khan, A. (2016) · Journal of Informetrics · doi:10.1016/j.joi.2016.10.004 · Cited by 143 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Stavrova, O., Kleinberg, B., Evans, A. M., & Ivanović, M. (2025) · Communications Psychology · doi:10.1038/s44271-025-00293-8 · Cited by 8 · see citing works
- Authors
- Hu, Y.-H., Tai, C.-T., Liu, K. E., & Cai, C.-F.
- Affiliations
- National Chung Cheng University (TW)
- National Taiwan University (TW)
- Corresponding author
- Liu, Kang Ernest
- Venue
- Journal of Informetrics
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 14
- Issue
- 1
- Pages
- 101004
- ISSN
- 1751-1577 (ISSN-L)
- OpenAlex
- W3000385592
- Cited by
- 62
- References
- 3
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 12 · 2023: 19 · 2022: 5 · 2021: 11 · 2020: 3 · 2018: 1
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Informetrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (107-2410-H-194 -054 -MY2)
- Ministry of Science and Technology of the People's Republic of China
- Ministry of Education
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
- Keywords
- highly cited papers, latent Dirichlet allocation, topic modeling, research trends, management information systems, binary classification
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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