ChemDataWriter: a transformer-based toolkit for auto-generating books that summarise research Article Swipe
Shu Huang
,
Jacqueline M. Cole
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1039/d3dd00159h
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1039/d3dd00159h
ChemDataWriter automatically generates literature reviews via artificial intelligence that suggests potential book content, by retrieving and re-ranking relevant papers that the user has provided as input, and summarising and paraphrasing the text within these papers.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1039/d3dd00159h
- https://pubs.rsc.org/en/content/articlepdf/2023/dd/d3dd00159h
- OA Status
- diamond
- Cited By
- 4
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387349271
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387349271Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1039/d3dd00159hDigital Object Identifier
- Title
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ChemDataWriter: a transformer-based toolkit for auto-generating books that summarise researchWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
-
Shu Huang, Jacqueline M. ColeList of authors in order
- Landing page
-
https://doi.org/10.1039/d3dd00159hPublisher landing page
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https://pubs.rsc.org/en/content/articlepdf/2023/dd/d3dd00159hDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://pubs.rsc.org/en/content/articlepdf/2023/dd/d3dd00159hDirect OA link when available
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Computer science, Transformer, Information retrieval, Ranking (information retrieval), Natural language processing, Data science, Artificial intelligence, World Wide Web, Engineering, Voltage, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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55Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W1907286193, https://openalex.org/W2800079696, https://openalex.org/W2905373823, https://openalex.org/W3080121084, https://openalex.org/W2911489562, https://openalex.org/W3187773669, https://openalex.org/W2936166854, https://openalex.org/W3099034701, https://openalex.org/W2808304511, https://openalex.org/W3047398431, https://openalex.org/W4225378608, https://openalex.org/W4225409008, https://openalex.org/W4307139584, https://openalex.org/W4281617541, https://openalex.org/W2992302948, https://openalex.org/W4283074682, https://openalex.org/W4280555259, https://openalex.org/W2953641512, https://openalex.org/W3199148417, https://openalex.org/W2904992191, https://openalex.org/W4313325229, https://openalex.org/W2523785361, https://openalex.org/W3200122731, https://openalex.org/W4296836559, https://openalex.org/W4224442790, https://openalex.org/W4206633671, https://openalex.org/W4229443452, https://openalex.org/W3115677442, https://openalex.org/W4226031686, https://openalex.org/W2995589434, https://openalex.org/W4236451270, https://openalex.org/W4320005767, https://openalex.org/W4322717396, https://openalex.org/W3034999214, https://openalex.org/W3011574394, https://openalex.org/W4298183015, https://openalex.org/W4281482733, https://openalex.org/W2970200208, https://openalex.org/W4221142221, https://openalex.org/W2786672974, https://openalex.org/W2601243251, https://openalex.org/W6632602330, https://openalex.org/W1980570680, https://openalex.org/W2603442821, https://openalex.org/W2003927524, https://openalex.org/W3104404235, https://openalex.org/W2017890341, https://openalex.org/W2790591850, https://openalex.org/W2597601064, https://openalex.org/W4205807230, https://openalex.org/W3088409176, https://openalex.org/W4233907442, https://openalex.org/W2914859268, https://openalex.org/W2990138404, https://openalex.org/W146900863 |
| referenced_works_count | 55 |
| abstract_inverted_index.as | 24 |
| abstract_inverted_index.by | 13 |
| abstract_inverted_index.and | 15, 26, 28 |
| abstract_inverted_index.has | 22 |
| abstract_inverted_index.the | 20, 30 |
| abstract_inverted_index.via | 5 |
| abstract_inverted_index.book | 11 |
| abstract_inverted_index.text | 31 |
| abstract_inverted_index.that | 8, 19 |
| abstract_inverted_index.user | 21 |
| abstract_inverted_index.these | 33 |
| abstract_inverted_index.input, | 25 |
| abstract_inverted_index.papers | 18 |
| abstract_inverted_index.within | 32 |
| abstract_inverted_index.papers. | 34 |
| abstract_inverted_index.reviews | 4 |
| abstract_inverted_index.content, | 12 |
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| abstract_inverted_index.relevant | 17 |
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| abstract_inverted_index.generates | 2 |
| abstract_inverted_index.potential | 10 |
| abstract_inverted_index.artificial | 6 |
| abstract_inverted_index.literature | 3 |
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| abstract_inverted_index.summarising | 27 |
| abstract_inverted_index.intelligence | 7 |
| abstract_inverted_index.paraphrasing | 29 |
| abstract_inverted_index.automatically | 1 |
| abstract_inverted_index.ChemDataWriter | 0 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.73337832 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |