Prompt robust large language model for Chinese medical named entity recognition Article Swipe
Yubo Chen
,
Zhang Baoli
,
Sirui Li
,
Zhuoran Jin
,
Zhaolun Cai
,
Yingzheng Wang
,
Delai Qiu
,
Shengping Liu
,
Jun Zhao
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.ipm.2025.104189
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.ipm.2025.104189
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ipm.2025.104189
- OA Status
- hybrid
- Cited By
- 7
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410300029
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4410300029Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ipm.2025.104189Digital Object Identifier
- Title
-
Prompt robust large language model for Chinese medical named entity recognitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-12Full publication date if available
- Authors
-
Yubo Chen, Zhang Baoli, Sirui Li, Zhuoran Jin, Zhaolun Cai, Yingzheng Wang, Delai Qiu, Shengping Liu, Jun ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ipm.2025.104189Publisher 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.ipm.2025.104189Direct OA link when available
- Concepts
-
Computer science, Natural language processing, Named-entity recognition, Artificial intelligence, Speech recognition, Linguistics, Engineering, Philosophy, Task (project management), Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7Per-year citation counts (last 5 years)
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4410300029 |
|---|---|
| doi | https://doi.org/10.1016/j.ipm.2025.104189 |
| ids.doi | https://doi.org/10.1016/j.ipm.2025.104189 |
| ids.openalex | https://openalex.org/W4410300029 |
| fwci | 33.73821602 |
| type | article |
| title | Prompt robust large language model for Chinese medical named entity recognition |
| biblio.issue | 5 |
| biblio.volume | 62 |
| biblio.last_page | 104189 |
| biblio.first_page | 104189 |
| 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 | 0.9991999864578247 |
| 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/T11710 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9929999709129333 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Biomedical Text Mining and Ontologies |
| topics[2].id | https://openalex.org/T10181 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9929999709129333 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Natural Language Processing Techniques |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 3220 |
| apc_list.currency | USD |
| apc_list.value_usd | 3220 |
| apc_paid.value | 3220 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 3220 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6909170150756836 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C204321447 |
| concepts[1].level | 1 |
| concepts[1].score | 0.586434006690979 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[1].display_name | Natural language processing |
| concepts[2].id | https://openalex.org/C2779135771 |
| concepts[2].level | 3 |
| concepts[2].score | 0.4856887757778168 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q403574 |
| concepts[2].display_name | Named-entity recognition |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.43513205647468567 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C28490314 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3320193290710449 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q189436 |
| concepts[4].display_name | Speech recognition |
| concepts[5].id | https://openalex.org/C41895202 |
| concepts[5].level | 1 |
| concepts[5].score | 0.32214581966400146 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[5].display_name | Linguistics |
| concepts[6].id | https://openalex.org/C127413603 |
| concepts[6].level | 0 |
| concepts[6].score | 0.08493107557296753 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[6].display_name | Engineering |
| concepts[7].id | https://openalex.org/C138885662 |
| concepts[7].level | 0 |
| concepts[7].score | 0.05464854836463928 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[7].display_name | Philosophy |
| concepts[8].id | https://openalex.org/C2780451532 |
| concepts[8].level | 2 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q759676 |
| concepts[8].display_name | Task (project management) |
| concepts[9].id | https://openalex.org/C201995342 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q682496 |
| concepts[9].display_name | Systems engineering |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.6909170150756836 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/natural-language-processing |
| keywords[1].score | 0.586434006690979 |
| keywords[1].display_name | Natural language processing |
| keywords[2].id | https://openalex.org/keywords/named-entity-recognition |
| keywords[2].score | 0.4856887757778168 |
| keywords[2].display_name | Named-entity recognition |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.43513205647468567 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/speech-recognition |
| keywords[4].score | 0.3320193290710449 |
| keywords[4].display_name | Speech recognition |
| keywords[5].id | https://openalex.org/keywords/linguistics |
| keywords[5].score | 0.32214581966400146 |
| keywords[5].display_name | Linguistics |
| keywords[6].id | https://openalex.org/keywords/engineering |
| keywords[6].score | 0.08493107557296753 |
| keywords[6].display_name | Engineering |
| keywords[7].id | https://openalex.org/keywords/philosophy |
| keywords[7].score | 0.05464854836463928 |
| keywords[7].display_name | Philosophy |
| language | en |
| locations[0].id | doi:10.1016/j.ipm.2025.104189 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S174847851 |
| locations[0].source.issn | 0306-4573, 1873-5371 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0306-4573 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Information Processing & Management |
| 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-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Information Processing & Management |
| locations[0].landing_page_url | https://doi.org/10.1016/j.ipm.2025.104189 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5101939525 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5485-9916 |
| authorships[0].author.display_name | Yubo Chen |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yubo Chen |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5082937989 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5815-7292 |
| authorships[1].author.display_name | Zhang Baoli |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Baoli Zhang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5104284527 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Sirui Li |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Sirui Li |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5102626155 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1667-8145 |
| authorships[3].author.display_name | Zhuoran Jin |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Zhuoran Jin |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5016975188 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-3706-6703 |
| authorships[4].author.display_name | Zhaolun Cai |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Zhengyuan Cai |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5115591133 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-8540-4965 |
| authorships[5].author.display_name | Yingzheng Wang |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Yingzheng Wang |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5025791616 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Delai Qiu |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Delai Qiu |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5101461639 |
| authorships[7].author.orcid | https://orcid.org/0000-0001-9026-0436 |
| authorships[7].author.display_name | Shengping Liu |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | ShengPing Liu |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5058685565 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-3539-2249 |
| authorships[8].author.display_name | Jun Zhao |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Jun Zhao |
| authorships[8].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.ipm.2025.104189 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Prompt robust large language model for Chinese medical named entity recognition |
| 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 | 0.9991999864578247 |
| 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/W3199871245, https://openalex.org/W2915436880, https://openalex.org/W3017222382, https://openalex.org/W3128216712, https://openalex.org/W3204019825, https://openalex.org/W3136915866, https://openalex.org/W4390279576, https://openalex.org/W2886890203, https://openalex.org/W4313535650, https://openalex.org/W2287770975 |
| cited_by_count | 7 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 7 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1016/j.ipm.2025.104189 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S174847851 |
| best_oa_location.source.issn | 0306-4573, 1873-5371 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0306-4573 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Information Processing & Management |
| 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-nc-nd |
| 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-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Information Processing & Management |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.ipm.2025.104189 |
| primary_location.id | doi:10.1016/j.ipm.2025.104189 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S174847851 |
| primary_location.source.issn | 0306-4573, 1873-5371 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0306-4573 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Information Processing & Management |
| 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-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Information Processing & Management |
| primary_location.landing_page_url | https://doi.org/10.1016/j.ipm.2025.104189 |
| publication_date | 2025-05-12 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4401242741, https://openalex.org/W4360992624, https://openalex.org/W3007060302, https://openalex.org/W6751760779, https://openalex.org/W6856125725, https://openalex.org/W6795210648, https://openalex.org/W6864141333, https://openalex.org/W4385196942, https://openalex.org/W4387430794, https://openalex.org/W6853207214, https://openalex.org/W4286639925, https://openalex.org/W4389332134, https://openalex.org/W4405897421, https://openalex.org/W6847260572, https://openalex.org/W6809503833, https://openalex.org/W6857627506, https://openalex.org/W6752909555, https://openalex.org/W4407939039, https://openalex.org/W6796487673, https://openalex.org/W4400178676, https://openalex.org/W4406281472, https://openalex.org/W4406119689, https://openalex.org/W4385681676, https://openalex.org/W2606555609, https://openalex.org/W4401042451, https://openalex.org/W3002226419, https://openalex.org/W4322718191, https://openalex.org/W4221025428, https://openalex.org/W4392617597, https://openalex.org/W2899575547, https://openalex.org/W4238634189, https://openalex.org/W4365799947, https://openalex.org/W4388093429, https://openalex.org/W4366400290, https://openalex.org/W2148437670, https://openalex.org/W4238846128 |
| referenced_works_count | 36 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.99572153 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |