{"id":"https://openalex.org/W4319990503","doi":"https://doi.org/10.1109/mcg.2022.3231441","title":"Fighting Pandemics With Computer Graphics and Applications","display_name":"Fighting Pandemics With Computer Graphics and Applications","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319990503","doi":"https://doi.org/10.1109/mcg.2022.3231441"},"language":"en","primary_location":{"id":"doi:10.1109/mcg.2022.3231441","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mcg.2022.3231441","pdf_url":"https://ieeexplore.ieee.org/ielx7/38/10035679/10035722.pdf","source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/38/10035679/10035722.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059434669","display_name":"Soraia Raupp Musse","orcid":"https://orcid.org/0000-0002-3278-217X"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Soraia Raupp Musse","raw_affiliation_strings":["Pontifical Catholic University do Rio Grande do Sul, Porto Alegre, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3278-217X","affiliations":[{"raw_affiliation_string":"Pontifical Catholic University do Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090504012","display_name":"Nuria Pelechano","orcid":"https://orcid.org/0000-0002-1437-245X"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nuria Pelechano","raw_affiliation_strings":["Universitat Politecnica de Catalunya, Barcelona, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1437-245X","affiliations":[{"raw_affiliation_string":"Universitat Politecnica de Catalunya, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4158,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62540449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"43","issue":"1","first_page":"37","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.5051000118255615,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.5051000118255615,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.7725480794906616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701479196548462},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6453543901443481},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5606226921081543},{"id":"https://openalex.org/keywords/scientific-visualization","display_name":"Scientific visualization","score":0.5444238781929016},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5442119836807251},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5415797829627991},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5413529276847839},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5004763603210449},{"id":"https://openalex.org/keywords/special-section","display_name":"Special section","score":0.45673632621765137},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.43365609645843506},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4197894036769867},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4105471968650818},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.39257195591926575},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.31331226229667664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24046528339385986},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15272101759910583},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07722660899162292}],"concepts":[{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.7725480794906616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701479196548462},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6453543901443481},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5606226921081543},{"id":"https://openalex.org/C59740354","wikidata":"https://www.wikidata.org/wiki/Q2737866","display_name":"Scientific visualization","level":3,"score":0.5444238781929016},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5442119836807251},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5415797829627991},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5413529276847839},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5004763603210449},{"id":"https://openalex.org/C2993458768","wikidata":"https://www.wikidata.org/wiki/Q3477549","display_name":"Special section","level":2,"score":0.45673632621765137},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.43365609645843506},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4197894036769867},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4105471968650818},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39257195591926575},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.31331226229667664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24046528339385986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15272101759910583},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07722660899162292},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C61696701","wikidata":"https://www.wikidata.org/wiki/Q770766","display_name":"Engineering physics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mcg.2022.3231441","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mcg.2022.3231441","pdf_url":"https://ieeexplore.ieee.org/ielx7/38/10035679/10035722.pdf","source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},{"id":"pmh:oai:meriva.pucrs.br:10923/25654","is_oa":true,"landing_page_url":"https://hdl.handle.net/10923/25654","pdf_url":"https://repositorio.pucrs.br/dspace/bitstream/10923/25654/2/Fighting_Pandemics_With_Computer_Graphics_and_Applications.pdf","source":{"id":"https://openalex.org/S4377196369","display_name":"PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45643870","host_organization_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","host_organization_lineage":["https://openalex.org/I45643870"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/mcg.2022.3231441","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mcg.2022.3231441","pdf_url":"https://ieeexplore.ieee.org/ielx7/38/10035679/10035722.pdf","source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319990503.pdf","grobid_xml":"https://content.openalex.org/works/W4319990503.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W4312592994","https://openalex.org/W4312781127","https://openalex.org/W4313018808"],"related_works":["https://openalex.org/W2106678440","https://openalex.org/W2080747064","https://openalex.org/W2033440088","https://openalex.org/W2373813562","https://openalex.org/W92333692","https://openalex.org/W2105714444","https://openalex.org/W327851649","https://openalex.org/W4249593033","https://openalex.org/W1975948089","https://openalex.org/W2167838283"],"abstract_inverted_index":{"The":[0,24],"articles":[1],"in":[2,38,46,65,86,110],"this":[3,66],"special":[4],"section":[5],"focus":[6],"on":[7],"methodologies":[8,99],"that":[9,61,75,122],"have":[10],"been":[11,43],"or":[12],"could":[13],"be":[14,108,127],"used":[15],"to":[16,32,104,126],"help":[17,63],"fight":[18],"pandemics":[19],"with":[20],"computer":[21],"graphics":[22],"(CG).":[23],"development":[25],"of":[26,58,70,91,101,119],"new":[27],"algorithms":[28],"and":[29,35,53,84,89,98,106,114,130],"computational":[30],"solutions":[31,74],"simulate,":[33],"visualize,":[34],"predict":[36],"scenarios":[37],"the":[39,56],"pandemic":[40],"world":[41],"has":[42],"a":[44],"reality":[45],"recent":[47],"years.":[48],"Many":[49,69],"researchers":[50],"at":[51],"universities":[52],"companies":[54],"pursued":[55],"objective":[57],"proposing":[59],"alternatives":[60,72],"would":[62],"people":[64],"challenging":[67],"period.":[68],"these":[71,95],"involve":[73],"contain":[76],"techniques":[77,97],"such":[78],"as":[79],"image":[80],"processing,":[81],"visualization,":[82],"animation,":[83],"interaction,":[85],"short,":[87],"processing":[88],"generation":[90],"graphic":[92],"data.":[93],"All":[94],"proposed":[96],"are":[100],"great":[102],"value":[103],"society":[105],"must":[107],"recorded":[109],"an":[111,116],"appropriate":[112,117],"manner":[113],"for":[115],"period":[118],"time,":[120],"so":[121],"they":[123],"can":[124],"continue":[125],"used,":[128],"applied,":[129],"improved.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}