The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Impact of Artificial Intelligence (AI) Programs on Writing Scientific Research.
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“At present, LLMs cannot completely compose a novel academic text or author a research study in the way a human researcher can because although they excel at human-like text production and organisation, they still lack the ability to generate novel ideas or engage in creativity ( Hammad, 2023).”
From Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis (2024) · cites this paper as Hammad, 2023
In the citing paper
“At present, LLMs cannot completely compose a novel academic text or author a research study in the way a human researcher can because although they excel at human-like text production and organisation, they still lack the ability to generate novel ideas or engage in creativity ( Hammad, 2023).”
From Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis (2024) · cites this paper as Hammad, 2023
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Citations
Cites
Could AI help you to write your next paper?
Hutson, M. (2022) · Nature · doi:10.1038/d41586-022-03479-w · Cited by 236
Cited by
Can artificial intelligence help for scientific writing?
Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023) · Critical Care · doi:10.1186/s13054-023-04380-2 · Cited by 827
Using artificial intelligence in academic writing and research: An essential productivity tool
Khalifa, M., & Albadawy, M. (2024) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2024.100145 · Cited by 580
The role of ChatGPT in scientific communication: writing better scientific review articles.
(2023) · PubMed Central · Cited by 289
Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis
Perkins, M., & Roe, J. (2024) · F1000Research · doi:10.12688/f1000research.142411.2 · Cited by 123
The impact of Artificial Intelligence in academia: Views of Turkish academics on ChatGPT
Livberber, T., & Ayvaz, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e19688 · Cited by 103
Metadata
- Authors
- Hammad, M.
- ORCID
- Hammad, Mohamed
- Venue
- Annals of Biomedical Engineering
- Published
- 2023-01-13
- Volume
- 51
- Issue
- 3
- Pages
- 459-460
- ISSN
- 0090-6964
- 1573-9686
- Cited by
- 49
- References
- 1
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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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.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
