Deep learning meets bibliometrics: A survey of citation function classification Article Swipe
Yang Zhang
,
Yufei Wang
,
Quan Z. Sheng
,
Lina Yao
,
Haihua Chen
,
Kai Wang
,
Adnan Mahmood
,
Wei Emma Zhang
,
Munazza Zaib
,
Subhash Sagar
,
Rongying Zhao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.joi.2024.101608
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.joi.2024.101608
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.joi.2024.101608
- OA Status
- hybrid
- Cited By
- 6
- References
- 109
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404328226
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404328226Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.joi.2024.101608Digital Object Identifier
- Title
-
Deep learning meets bibliometrics: A survey of citation function classificationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-14Full publication date if available
- Authors
-
Yang Zhang, Yufei Wang, Quan Z. Sheng, Lina Yao, Haihua Chen, Kai Wang, Adnan Mahmood, Wei Emma Zhang, Munazza Zaib, Subhash Sagar, Rongying ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1016/j.joi.2024.101608Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.joi.2024.101608Direct OA link when available
- Concepts
-
Bibliometrics, Computer science, Citation, Information retrieval, Citation analysis, Function (biology), Artificial intelligence, Library science, Biology, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6Per-year citation counts (last 5 years)
- References (count)
-
109Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4404328226 |
|---|---|
| doi | https://doi.org/10.1016/j.joi.2024.101608 |
| ids.doi | https://doi.org/10.1016/j.joi.2024.101608 |
| ids.openalex | https://openalex.org/W4404328226 |
| fwci | 3.83267129 |
| type | article |
| title | Deep learning meets bibliometrics: A survey of citation function classification |
| awards[0].id | https://openalex.org/G7323418293 |
| awards[0].funder_id | https://openalex.org/F4320334704 |
| awards[0].display_name | |
| awards[0].funder_award_id | DP230100233 |
| awards[0].funder_display_name | Australian Research Council |
| awards[1].id | https://openalex.org/G6320744230 |
| awards[1].funder_id | https://openalex.org/F4320334704 |
| awards[1].display_name | |
| awards[1].funder_award_id | LP190100140 |
| awards[1].funder_display_name | Australian Research Council |
| awards[2].id | https://openalex.org/G1874616966 |
| awards[2].funder_id | https://openalex.org/F4320334704 |
| awards[2].display_name | |
| awards[2].funder_award_id | DP230100133 |
| awards[2].funder_display_name | Australian Research Council |
| biblio.issue | 1 |
| biblio.volume | 19 |
| biblio.last_page | 101608 |
| biblio.first_page | 101608 |
| topics[0].id | https://openalex.org/T10028 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9412000179290771 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Topic Modeling |
| topics[1].id | https://openalex.org/T13083 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9286999702453613 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Advanced Text Analysis Techniques |
| topics[2].id | https://openalex.org/T11710 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9176999926567078 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Biomedical Text Mining and Ontologies |
| funders[0].id | https://openalex.org/F4320334704 |
| funders[0].ror | https://ror.org/05mmh0f86 |
| funders[0].display_name | Australian Research Council |
| is_xpac | False |
| apc_list.value | 3680 |
| apc_list.currency | USD |
| apc_list.value_usd | 3680 |
| apc_paid.value | 3680 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 3680 |
| concepts[0].id | https://openalex.org/C178315738 |
| concepts[0].level | 2 |
| concepts[0].score | 0.828711986541748 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q603441 |
| concepts[0].display_name | Bibliometrics |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5655070543289185 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C2778805511 |
| concepts[2].level | 2 |
| concepts[2].score | 0.517280101776123 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1713 |
| concepts[2].display_name | Citation |
| concepts[3].id | https://openalex.org/C23123220 |
| concepts[3].level | 1 |
| concepts[3].score | 0.47325971722602844 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[3].display_name | Information retrieval |
| concepts[4].id | https://openalex.org/C105345328 |
| concepts[4].level | 3 |
| concepts[4].score | 0.47013622522354126 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q206276 |
| concepts[4].display_name | Citation analysis |
| concepts[5].id | https://openalex.org/C14036430 |
| concepts[5].level | 2 |
| concepts[5].score | 0.42952096462249756 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3736076 |
| concepts[5].display_name | Function (biology) |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.38220834732055664 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C161191863 |
| concepts[7].level | 1 |
| concepts[7].score | 0.2791838049888611 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q199655 |
| concepts[7].display_name | Library science |
| concepts[8].id | https://openalex.org/C86803240 |
| concepts[8].level | 0 |
| concepts[8].score | 0.07542502880096436 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[8].display_name | Biology |
| concepts[9].id | https://openalex.org/C78458016 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q840400 |
| concepts[9].display_name | Evolutionary biology |
| keywords[0].id | https://openalex.org/keywords/bibliometrics |
| keywords[0].score | 0.828711986541748 |
| keywords[0].display_name | Bibliometrics |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.5655070543289185 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/citation |
| keywords[2].score | 0.517280101776123 |
| keywords[2].display_name | Citation |
| keywords[3].id | https://openalex.org/keywords/information-retrieval |
| keywords[3].score | 0.47325971722602844 |
| keywords[3].display_name | Information retrieval |
| keywords[4].id | https://openalex.org/keywords/citation-analysis |
| keywords[4].score | 0.47013622522354126 |
| keywords[4].display_name | Citation analysis |
| keywords[5].id | https://openalex.org/keywords/function |
| keywords[5].score | 0.42952096462249756 |
| keywords[5].display_name | Function (biology) |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.38220834732055664 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/library-science |
| keywords[7].score | 0.2791838049888611 |
| keywords[7].display_name | Library science |
| keywords[8].id | https://openalex.org/keywords/biology |
| keywords[8].score | 0.07542502880096436 |
| keywords[8].display_name | Biology |
| language | en |
| locations[0].id | doi:10.1016/j.joi.2024.101608 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S205292342 |
| locations[0].source.issn | 1751-1577, 1875-5879 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1751-1577 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Informetrics |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Informetrics |
| locations[0].landing_page_url | https://doi.org/10.1016/j.joi.2024.101608 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5100354571 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6821-2710 |
| authorships[0].author.display_name | Yang Zhang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yang Zhang |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5115694754 |
| authorships[1].author.orcid | https://orcid.org/0009-0003-3101-0869 |
| authorships[1].author.display_name | Yufei Wang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yufei Wang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5080744092 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3326-4147 |
| authorships[2].author.display_name | Quan Z. Sheng |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Quan Z. Sheng |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5052731721 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4149-839X |
| authorships[3].author.display_name | Lina Yao |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Lina Yao |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5100670005 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-7088-9752 |
| authorships[4].author.display_name | Haihua Chen |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Haihua Chen |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5115597295 |
| authorships[5].author.orcid | https://orcid.org/0009-0004-6559-2585 |
| authorships[5].author.display_name | Kai Wang |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Kai Wang |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5086858608 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-3526-9037 |
| authorships[6].author.display_name | Adnan Mahmood |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Adnan Mahmood |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5070697660 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-0406-5974 |
| authorships[7].author.display_name | Wei Emma Zhang |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Wei Emma Zhang |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5075012601 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-2394-0874 |
| authorships[8].author.display_name | Munazza Zaib |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Munazza Zaib |
| authorships[8].is_corresponding | False |
| authorships[9].author.id | https://openalex.org/A5006134934 |
| authorships[9].author.orcid | https://orcid.org/0000-0001-8713-624X |
| authorships[9].author.display_name | Subhash Sagar |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Subhash Sagar |
| authorships[9].is_corresponding | False |
| authorships[10].author.id | https://openalex.org/A5102211968 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | Rongying Zhao |
| authorships[10].author_position | last |
| authorships[10].raw_author_name | Rongying Zhao |
| authorships[10].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.joi.2024.101608 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Deep learning meets bibliometrics: A survey of citation function classification |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10028 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9412000179290771 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Topic Modeling |
| related_works | https://openalex.org/W2904800587, https://openalex.org/W2285613965, https://openalex.org/W2162430746, https://openalex.org/W2744205540, https://openalex.org/W2743665320, https://openalex.org/W2281783184, https://openalex.org/W1562719523, https://openalex.org/W2264078859, https://openalex.org/W4386031268, https://openalex.org/W4386253487 |
| cited_by_count | 6 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 6 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1016/j.joi.2024.101608 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S205292342 |
| best_oa_location.source.issn | 1751-1577, 1875-5879 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1751-1577 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Informetrics |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Informetrics |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.joi.2024.101608 |
| primary_location.id | doi:10.1016/j.joi.2024.101608 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S205292342 |
| primary_location.source.issn | 1751-1577, 1875-5879 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1751-1577 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Informetrics |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Informetrics |
| primary_location.landing_page_url | https://doi.org/10.1016/j.joi.2024.101608 |
| publication_date | 2024-11-14 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W6681399117, https://openalex.org/W6605798791, https://openalex.org/W3136733228, https://openalex.org/W3165332215, https://openalex.org/W3127396246, https://openalex.org/W6761352908, https://openalex.org/W6753215280, https://openalex.org/W6767306326, https://openalex.org/W6810434481, https://openalex.org/W6870993233, https://openalex.org/W2107363066, https://openalex.org/W2027880518, https://openalex.org/W6778883912, https://openalex.org/W2131837970, https://openalex.org/W2127830440, https://openalex.org/W6854674459, https://openalex.org/W3093272903, https://openalex.org/W1980282589, https://openalex.org/W6760977691, https://openalex.org/W2053154970, https://openalex.org/W6755207826, https://openalex.org/W1602102908, https://openalex.org/W6608540991, https://openalex.org/W2174725679, https://openalex.org/W22250617, https://openalex.org/W2962949934, https://openalex.org/W6741993978, https://openalex.org/W2995273533, https://openalex.org/W2899489554, https://openalex.org/W6756176166, https://openalex.org/W2341351272, https://openalex.org/W2064675550, https://openalex.org/W4321014848, https://openalex.org/W4379012260, https://openalex.org/W3173450924, https://openalex.org/W6853659893, https://openalex.org/W2565026778, https://openalex.org/W4384028630, https://openalex.org/W6682304300, https://openalex.org/W6678025134, https://openalex.org/W6649831340, https://openalex.org/W2808556605, https://openalex.org/W6797114089, https://openalex.org/W6675643541, https://openalex.org/W2801161192, https://openalex.org/W3133726972, https://openalex.org/W1973816953, https://openalex.org/W2150569271, https://openalex.org/W1970559802, https://openalex.org/W6748634344, https://openalex.org/W6741098091, https://openalex.org/W6779619827, https://openalex.org/W6764890980, https://openalex.org/W4307047016, https://openalex.org/W6857471822, https://openalex.org/W3032147312, https://openalex.org/W6769627184, https://openalex.org/W3120655260, https://openalex.org/W6843257424, https://openalex.org/W4384202057, https://openalex.org/W2061004875, https://openalex.org/W2113190934, https://openalex.org/W6601442398, https://openalex.org/W6790478665, https://openalex.org/W2798150405, https://openalex.org/W2097350739, https://openalex.org/W6685187983, https://openalex.org/W6645730227, https://openalex.org/W6672381245, https://openalex.org/W6857466484, https://openalex.org/W6731987836, https://openalex.org/W2021266202, https://openalex.org/W6839778097, https://openalex.org/W2163278806, https://openalex.org/W6762744983, https://openalex.org/W6779601878, https://openalex.org/W6757104041, https://openalex.org/W2910803270, https://openalex.org/W2773770608, https://openalex.org/W6658099509, https://openalex.org/W4294833327, https://openalex.org/W6855252729, https://openalex.org/W6805719113, https://openalex.org/W6855234300, https://openalex.org/W4205419297, https://openalex.org/W6874463817, https://openalex.org/W6767035509, https://openalex.org/W6811014590, https://openalex.org/W1799284535, https://openalex.org/W4251218592, https://openalex.org/W4292779060, https://openalex.org/W2524182563, https://openalex.org/W2912512851, https://openalex.org/W2750779823, https://openalex.org/W3133149050, https://openalex.org/W4387841511, https://openalex.org/W2912848173, https://openalex.org/W4240777659, https://openalex.org/W2799915114, https://openalex.org/W2912409473, https://openalex.org/W1490960179, https://openalex.org/W2944378183, https://openalex.org/W4400587528, https://openalex.org/W4388001604, https://openalex.org/W4288089799, https://openalex.org/W2142059510, https://openalex.org/W4381617684, https://openalex.org/W4365799947, https://openalex.org/W4302563337 |
| referenced_works_count | 109 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.7599999904632568 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.92050039 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |