Chest X-ray analysis empowered with deep learning: A systematic review Article Swipe
Dulani Meedeniya
,
Hashara Kumarasinghe
,
Shammi Kolonne
,
Chamodi Fernando
,
Isabel de la Torre Díez
,
Gonçalo Marques
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.asoc.2022.109319
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.asoc.2022.109319
Related Topics
Concepts
Deep learning
Computer science
Artificial intelligence
Domain (mathematical analysis)
Data science
Coronavirus disease 2019 (COVID-19)
Systematic review
Machine learning
Pneumonia
MEDLINE
Medicine
Disease
Pathology
Infectious disease (medical specialty)
Mathematical analysis
Mathematics
Political science
Law
Internal medicine
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.asoc.2022.109319
- OA Status
- green
- Cited By
- 88
- References
- 162
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285736274
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4285736274Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.asoc.2022.109319Digital Object Identifier
- Title
-
Chest X-ray analysis empowered with deep learning: A systematic reviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-18Full publication date if available
- Authors
-
Dulani Meedeniya, Hashara Kumarasinghe, Shammi Kolonne, Chamodi Fernando, Isabel de la Torre Díez, Gonçalo MarquesList of authors in order
- Landing page
-
https://doi.org/10.1016/j.asoc.2022.109319Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/9393235Direct OA link when available
- Concepts
-
Deep learning, Computer science, Artificial intelligence, Domain (mathematical analysis), Data science, Coronavirus disease 2019 (COVID-19), Systematic review, Machine learning, Pneumonia, MEDLINE, Medicine, Disease, Pathology, Infectious disease (medical specialty), Mathematical analysis, Mathematics, Political science, Law, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
88Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 27, 2024: 39, 2023: 20, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
162Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4285736274 |
|---|---|
| doi | https://doi.org/10.1016/j.asoc.2022.109319 |
| ids.doi | https://doi.org/10.1016/j.asoc.2022.109319 |
| ids.openalex | https://openalex.org/W4285736274 |
| fwci | 17.18195707 |
| type | review |
| title | Chest X-ray analysis empowered with deep learning: A systematic review |
| biblio.issue | |
| biblio.volume | 126 |
| biblio.last_page | 109319 |
| biblio.first_page | 109319 |
| topics[0].id | https://openalex.org/T11775 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2741 |
| topics[0].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[0].display_name | COVID-19 diagnosis using AI |
| topics[1].id | https://openalex.org/T12422 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9664999842643738 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2741 |
| topics[1].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[1].display_name | Radiomics and Machine Learning in Medical Imaging |
| topics[2].id | https://openalex.org/T10202 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9656000137329102 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2740 |
| topics[2].subfield.display_name | Pulmonary and Respiratory Medicine |
| topics[2].display_name | Lung Cancer Diagnosis and Treatment |
| is_xpac | False |
| apc_list.value | 3350 |
| apc_list.currency | USD |
| apc_list.value_usd | 3350 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C108583219 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8302323818206787 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q197536 |
| concepts[0].display_name | Deep learning |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.682214081287384 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6044901013374329 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C36503486 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5770604014396667 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11235244 |
| concepts[3].display_name | Domain (mathematical analysis) |
| concepts[4].id | https://openalex.org/C2522767166 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5758438110351562 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[4].display_name | Data science |
| concepts[5].id | https://openalex.org/C3008058167 |
| concepts[5].level | 4 |
| concepts[5].score | 0.4826143682003021 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[5].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[6].id | https://openalex.org/C189708586 |
| concepts[6].level | 3 |
| concepts[6].score | 0.469582736492157 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1504425 |
| concepts[6].display_name | Systematic review |
| concepts[7].id | https://openalex.org/C119857082 |
| concepts[7].level | 1 |
| concepts[7].score | 0.468168705701828 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[7].display_name | Machine learning |
| concepts[8].id | https://openalex.org/C2777914695 |
| concepts[8].level | 2 |
| concepts[8].score | 0.41481804847717285 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q12192 |
| concepts[8].display_name | Pneumonia |
| concepts[9].id | https://openalex.org/C2779473830 |
| concepts[9].level | 2 |
| concepts[9].score | 0.27188313007354736 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1540899 |
| concepts[9].display_name | MEDLINE |
| concepts[10].id | https://openalex.org/C71924100 |
| concepts[10].level | 0 |
| concepts[10].score | 0.23695015907287598 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[10].display_name | Medicine |
| concepts[11].id | https://openalex.org/C2779134260 |
| concepts[11].level | 2 |
| concepts[11].score | 0.18240034580230713 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[11].display_name | Disease |
| concepts[12].id | https://openalex.org/C142724271 |
| concepts[12].level | 1 |
| concepts[12].score | 0.10383141040802002 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[12].display_name | Pathology |
| concepts[13].id | https://openalex.org/C524204448 |
| concepts[13].level | 3 |
| concepts[13].score | 0.08485230803489685 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[13].display_name | Infectious disease (medical specialty) |
| concepts[14].id | https://openalex.org/C134306372 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[14].display_name | Mathematical analysis |
| concepts[15].id | https://openalex.org/C33923547 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[15].display_name | Mathematics |
| concepts[16].id | https://openalex.org/C17744445 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[16].display_name | Political science |
| concepts[17].id | https://openalex.org/C199539241 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[17].display_name | Law |
| concepts[18].id | https://openalex.org/C126322002 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[18].display_name | Internal medicine |
| keywords[0].id | https://openalex.org/keywords/deep-learning |
| keywords[0].score | 0.8302323818206787 |
| keywords[0].display_name | Deep learning |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.682214081287384 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.6044901013374329 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/domain |
| keywords[3].score | 0.5770604014396667 |
| keywords[3].display_name | Domain (mathematical analysis) |
| keywords[4].id | https://openalex.org/keywords/data-science |
| keywords[4].score | 0.5758438110351562 |
| keywords[4].display_name | Data science |
| keywords[5].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[5].score | 0.4826143682003021 |
| keywords[5].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[6].id | https://openalex.org/keywords/systematic-review |
| keywords[6].score | 0.469582736492157 |
| keywords[6].display_name | Systematic review |
| keywords[7].id | https://openalex.org/keywords/machine-learning |
| keywords[7].score | 0.468168705701828 |
| keywords[7].display_name | Machine learning |
| keywords[8].id | https://openalex.org/keywords/pneumonia |
| keywords[8].score | 0.41481804847717285 |
| keywords[8].display_name | Pneumonia |
| keywords[9].id | https://openalex.org/keywords/medline |
| keywords[9].score | 0.27188313007354736 |
| keywords[9].display_name | MEDLINE |
| keywords[10].id | https://openalex.org/keywords/medicine |
| keywords[10].score | 0.23695015907287598 |
| keywords[10].display_name | Medicine |
| keywords[11].id | https://openalex.org/keywords/disease |
| keywords[11].score | 0.18240034580230713 |
| keywords[11].display_name | Disease |
| keywords[12].id | https://openalex.org/keywords/pathology |
| keywords[12].score | 0.10383141040802002 |
| keywords[12].display_name | Pathology |
| keywords[13].id | https://openalex.org/keywords/infectious-disease |
| keywords[13].score | 0.08485230803489685 |
| keywords[13].display_name | Infectious disease (medical specialty) |
| language | en |
| locations[0].id | doi:10.1016/j.asoc.2022.109319 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S140556538 |
| locations[0].source.issn | 1568-4946, 1872-9681 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1568-4946 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Applied Soft Computing |
| 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 | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Applied Soft Computing |
| locations[0].landing_page_url | https://doi.org/10.1016/j.asoc.2022.109319 |
| locations[1].id | pmh:oai:pubmedcentral.nih.gov:9393235 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S2764455111 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed Central |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Appl Soft Comput |
| locations[1].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9393235 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5020197064 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4520-3819 |
| authorships[0].author.display_name | Dulani Meedeniya |
| authorships[0].countries | LK |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I195740183 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[0].institutions[0].id | https://openalex.org/I195740183 |
| authorships[0].institutions[0].ror | https://ror.org/0491f5305 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I195740183 |
| authorships[0].institutions[0].country_code | LK |
| authorships[0].institutions[0].display_name | University of Moratuwa |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Dulani Meedeniya |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[1].author.id | https://openalex.org/A5016308605 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5926-2169 |
| authorships[1].author.display_name | Hashara Kumarasinghe |
| authorships[1].countries | LK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I195740183 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[1].institutions[0].id | https://openalex.org/I195740183 |
| authorships[1].institutions[0].ror | https://ror.org/0491f5305 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I195740183 |
| authorships[1].institutions[0].country_code | LK |
| authorships[1].institutions[0].display_name | University of Moratuwa |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Hashara Kumarasinghe |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[2].author.id | https://openalex.org/A5003787897 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-7957-0345 |
| authorships[2].author.display_name | Shammi Kolonne |
| authorships[2].countries | LK |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I195740183 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[2].institutions[0].id | https://openalex.org/I195740183 |
| authorships[2].institutions[0].ror | https://ror.org/0491f5305 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I195740183 |
| authorships[2].institutions[0].country_code | LK |
| authorships[2].institutions[0].display_name | University of Moratuwa |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Shammi Kolonne |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[3].author.id | https://openalex.org/A5085587427 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1243-1567 |
| authorships[3].author.display_name | Chamodi Fernando |
| authorships[3].countries | LK |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I195740183 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[3].institutions[0].id | https://openalex.org/I195740183 |
| authorships[3].institutions[0].ror | https://ror.org/0491f5305 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I195740183 |
| authorships[3].institutions[0].country_code | LK |
| authorships[3].institutions[0].display_name | University of Moratuwa |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Chamodi Fernando |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka |
| authorships[4].author.id | https://openalex.org/A5046258353 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-3134-7720 |
| authorships[4].author.display_name | Isabel de la Torre Díez |
| authorships[4].countries | ES |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I108103353 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Signal Theory and Communications, and Telematics Engineering at the University of Valladolid, 15, Paseo de Belén, 47011 Valladolid, Spain |
| authorships[4].institutions[0].id | https://openalex.org/I108103353 |
| authorships[4].institutions[0].ror | https://ror.org/01fvbaw18 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I108103353 |
| authorships[4].institutions[0].country_code | ES |
| authorships[4].institutions[0].display_name | Universidad de Valladolid |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Isabel De la Torre Díez |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Signal Theory and Communications, and Telematics Engineering at the University of Valladolid, 15, Paseo de Belén, 47011 Valladolid, Spain |
| authorships[5].author.id | https://openalex.org/A5070439928 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-5834-6571 |
| authorships[5].author.display_name | Gonçalo Marques |
| authorships[5].countries | ES |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I108103353 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Signal Theory and Communications, and Telematics Engineering at the University of Valladolid, 15, Paseo de Belén, 47011 Valladolid, Spain |
| authorships[5].institutions[0].id | https://openalex.org/I108103353 |
| authorships[5].institutions[0].ror | https://ror.org/01fvbaw18 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I108103353 |
| authorships[5].institutions[0].country_code | ES |
| authorships[5].institutions[0].display_name | Universidad de Valladolid |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Gonçalo Marques |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Signal Theory and Communications, and Telematics Engineering at the University of Valladolid, 15, Paseo de Belén, 47011 Valladolid, Spain |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9393235 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-07-18T00:00:00 |
| display_name | Chest X-ray analysis empowered with deep learning: A systematic review |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11775 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2741 |
| primary_topic.subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| primary_topic.display_name | COVID-19 diagnosis using AI |
| related_works | https://openalex.org/W4380075502, https://openalex.org/W4223943233, https://openalex.org/W4312200629, https://openalex.org/W4360585206, https://openalex.org/W4364306694, https://openalex.org/W4380086463, https://openalex.org/W4225161397, https://openalex.org/W3014300295, https://openalex.org/W3164822677, https://openalex.org/W4250304930 |
| cited_by_count | 88 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 27 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 39 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 20 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:pubmedcentral.nih.gov:9393235 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764455111 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | PubMed Central |
| best_oa_location.source.host_organization | https://openalex.org/I1299303238 |
| best_oa_location.source.host_organization_name | National Institutes of Health |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1299303238 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Appl Soft Comput |
| best_oa_location.landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9393235 |
| primary_location.id | doi:10.1016/j.asoc.2022.109319 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S140556538 |
| primary_location.source.issn | 1568-4946, 1872-9681 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1568-4946 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Applied Soft Computing |
| 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 | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Applied Soft Computing |
| primary_location.landing_page_url | https://doi.org/10.1016/j.asoc.2022.109319 |
| publication_date | 2022-07-18 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W7054442893, https://openalex.org/W6781017146, https://openalex.org/W3006627382, https://openalex.org/W2949698495, https://openalex.org/W2104775919, https://openalex.org/W3137206040, https://openalex.org/W2998957378, https://openalex.org/W3013601031, https://openalex.org/W6772524427, https://openalex.org/W3025788106, https://openalex.org/W3109889636, https://openalex.org/W3139379779, https://openalex.org/W4237462272, https://openalex.org/W3095681026, https://openalex.org/W3094209195, https://openalex.org/W6776646549, https://openalex.org/W3042255588, https://openalex.org/W2067384918, https://openalex.org/W3092581351, https://openalex.org/W6781013672, https://openalex.org/W6782635492, https://openalex.org/W3036881855, https://openalex.org/W2891378911, https://openalex.org/W6687483927, https://openalex.org/W6725739302, https://openalex.org/W2531409750, https://openalex.org/W6743446608, https://openalex.org/W6639824700, https://openalex.org/W6762718338, https://openalex.org/W2610046773, https://openalex.org/W3044240928, https://openalex.org/W3080406710, https://openalex.org/W6784804988, https://openalex.org/W6783973793, https://openalex.org/W6785367229, https://openalex.org/W6756653451, https://openalex.org/W6774960221, https://openalex.org/W2108598243, https://openalex.org/W2253590344, https://openalex.org/W6769717112, https://openalex.org/W3030621456, https://openalex.org/W2346062110, https://openalex.org/W6796875814, https://openalex.org/W3094592788, https://openalex.org/W6788377773, https://openalex.org/W6791403963, https://openalex.org/W3168680802, https://openalex.org/W3135722972, https://openalex.org/W3021622280, https://openalex.org/W6772518260, https://openalex.org/W6774573124, https://openalex.org/W1994062553, https://openalex.org/W2010382953, https://openalex.org/W6768691455, https://openalex.org/W6784542374, https://openalex.org/W6782490261, https://openalex.org/W6764391797, https://openalex.org/W3032017599, https://openalex.org/W3083753334, https://openalex.org/W6777407797, https://openalex.org/W6789068032, https://openalex.org/W6797238835, https://openalex.org/W3171062249, https://openalex.org/W6790924664, https://openalex.org/W6780946752, https://openalex.org/W3006841715, https://openalex.org/W3088086017, https://openalex.org/W6790274991, https://openalex.org/W4207003395, https://openalex.org/W6769450528, https://openalex.org/W3041148517, https://openalex.org/W3086039674, https://openalex.org/W6793477252, https://openalex.org/W3136753563, https://openalex.org/W3019531985, https://openalex.org/W6782418757, https://openalex.org/W6781641536, https://openalex.org/W2962835968, https://openalex.org/W2097117768, https://openalex.org/W2183341477, https://openalex.org/W2963163009, https://openalex.org/W3004415073, https://openalex.org/W6790274707, https://openalex.org/W2924911266, https://openalex.org/W2920831020, https://openalex.org/W6788659749, https://openalex.org/W3160725687, https://openalex.org/W3033616466, https://openalex.org/W3087636224, https://openalex.org/W3130172878, https://openalex.org/W3013277995, https://openalex.org/W3135057764, https://openalex.org/W3082801331, https://openalex.org/W6775329740, https://openalex.org/W6769454351, https://openalex.org/W6776078246, https://openalex.org/W3042070269, https://openalex.org/W2611650229, https://openalex.org/W6764650292, https://openalex.org/W2963466845, https://openalex.org/W3017855299, https://openalex.org/W2948666538, https://openalex.org/W3090831210, https://openalex.org/W2921073497, https://openalex.org/W6799304766, https://openalex.org/W2969414999, https://openalex.org/W2107516301, https://openalex.org/W6766807818, https://openalex.org/W3156922673, https://openalex.org/W4224073528, https://openalex.org/W6838576360, https://openalex.org/W3119213388, https://openalex.org/W2574963492, https://openalex.org/W4283783784, https://openalex.org/W3029137193, https://openalex.org/W6800922955, https://openalex.org/W3193175753, https://openalex.org/W4298101200, https://openalex.org/W3022274619, https://openalex.org/W4251530202, https://openalex.org/W4233668845, https://openalex.org/W3097582232, https://openalex.org/W1686810756, https://openalex.org/W4250142595, https://openalex.org/W4205720197, https://openalex.org/W3120433096, https://openalex.org/W3013872449, https://openalex.org/W4288938035, https://openalex.org/W2797472209, https://openalex.org/W3082076807, https://openalex.org/W4295940597, https://openalex.org/W3014322576, https://openalex.org/W4248915884, https://openalex.org/W4237388560, https://openalex.org/W1583837637, https://openalex.org/W3139487216, https://openalex.org/W4282843038, https://openalex.org/W4249142012, https://openalex.org/W2912083425, https://openalex.org/W3005813985, https://openalex.org/W4298152891, https://openalex.org/W4300485340, https://openalex.org/W3101156210, https://openalex.org/W3064374686, https://openalex.org/W2279098554, https://openalex.org/W4249323204, https://openalex.org/W4254913633, https://openalex.org/W3154884208, https://openalex.org/W3105081694, https://openalex.org/W3199758924, https://openalex.org/W3044898763, https://openalex.org/W3173064180, https://openalex.org/W2807876212, https://openalex.org/W3103194435, https://openalex.org/W2998784361, https://openalex.org/W3010702679, https://openalex.org/W3118608800, https://openalex.org/W4297775537, https://openalex.org/W3014129273, https://openalex.org/W3046500052, https://openalex.org/W3081612852, https://openalex.org/W3013019084 |
| referenced_works_count | 162 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5020197064 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I195740183 |
| citation_normalized_percentile.value | 0.99416955 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |