{"id":"https://openalex.org/W4380611640","doi":"https://doi.org/10.1080/08839514.2023.2224995","title":"Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition","display_name":"Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380611640","doi":"https://doi.org/10.1080/08839514.2023.2224995"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2224995","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2224995","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2224995?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2224995?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026294876","display_name":"Honglei Yang","orcid":"https://orcid.org/0000-0002-2093-4295"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Honglei Yang","raw_affiliation_strings":["Deputy Manager Office, Road & brdige Southern China Engineering Co. Ltd., Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deputy Manager Office, Road & brdige Southern China Engineering Co. Ltd., Zhongshan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019003956","display_name":"Min Xia","orcid":"https://orcid.org/0000-0001-8057-9654"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Min Xia","raw_affiliation_strings":["Deputy Manager Office, Road & brdige Southern China Engineering Co. Ltd., Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deputy Manager Office, Road & brdige Southern China Engineering Co. Ltd., Zhongshan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5019003956"],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":5.8818,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9601918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.8083120584487915},{"id":"https://openalex.org/keywords/building-information-modeling","display_name":"Building information modeling","score":0.7995924949645996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700221538543701},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6387991905212402},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6036162972450256},{"id":"https://openalex.org/keywords/construction-industry","display_name":"Construction industry","score":0.4741498827934265},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45943114161491394},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41319966316223145},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.3793821930885315},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3743818402290344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37415045499801636},{"id":"https://openalex.org/keywords/construction-engineering","display_name":"Construction engineering","score":0.34534090757369995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13345283269882202}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.8083120584487915},{"id":"https://openalex.org/C66862320","wikidata":"https://www.wikidata.org/wiki/Q842017","display_name":"Building information modeling","level":3,"score":0.7995924949645996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700221538543701},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6387991905212402},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6036162972450256},{"id":"https://openalex.org/C2984708878","wikidata":"https://www.wikidata.org/wiki/Q385378","display_name":"Construction industry","level":2,"score":0.4741498827934265},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45943114161491394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41319966316223145},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3793821930885315},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3743818402290344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37415045499801636},{"id":"https://openalex.org/C107053488","wikidata":"https://www.wikidata.org/wiki/Q2674423","display_name":"Construction engineering","level":1,"score":0.34534090757369995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13345283269882202},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2023.2224995","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2224995","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2224995?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f6474003d8d24525a49a16a1fc936a96","is_oa":true,"landing_page_url":"https://doaj.org/article/f6474003d8d24525a49a16a1fc936a96","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2224995","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2224995","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2224995?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380611640.pdf","grobid_xml":"https://content.openalex.org/works/W4380611640.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1992375419","https://openalex.org/W2040017161","https://openalex.org/W2110895986","https://openalex.org/W2550102550","https://openalex.org/W2596546056","https://openalex.org/W2610802450","https://openalex.org/W2740581576","https://openalex.org/W2748454077","https://openalex.org/W2752624868","https://openalex.org/W2872160748","https://openalex.org/W2917703358","https://openalex.org/W2922424058","https://openalex.org/W3005245171","https://openalex.org/W3083024764","https://openalex.org/W3088705073","https://openalex.org/W3109380353","https://openalex.org/W3120450791","https://openalex.org/W3134781396","https://openalex.org/W3157871343","https://openalex.org/W3163209577","https://openalex.org/W3179716869","https://openalex.org/W4200547616","https://openalex.org/W4206252285","https://openalex.org/W4211181214","https://openalex.org/W4214497410","https://openalex.org/W4281478914"],"related_works":["https://openalex.org/W3193474435","https://openalex.org/W3210428419","https://openalex.org/W2997528639","https://openalex.org/W4385481822","https://openalex.org/W1606536785","https://openalex.org/W4286587392","https://openalex.org/W3146907413","https://openalex.org/W3161035279","https://openalex.org/W1593005275","https://openalex.org/W4287748297"],"abstract_inverted_index":{"Building":[0],"Information":[1],"Modeling":[2],"(BIM)":[3],"has":[4,44,98],"emerged":[5],"as":[6],"a":[7],"transformative":[8],"technology":[9,64],"in":[10,36,65,186],"the":[11,18,41,49,58,83,133,137,143,150,156,179,187],"construction":[12,42,63,183,191],"industry,":[13],"revolutionizing":[14],"various":[15],"aspects":[16],"of":[17,22,51,61,85,136,171,181,189],"field.":[19],"The":[20,153,169],"integration":[21,154],"Artificial":[23],"Intelligence":[24],"(AI)":[25],"techniques":[26],"with":[27],"BIM":[28,138,151,157],"holds":[29],"significant":[30],"promise":[31],"and":[32,54,122,161,167],"is":[33],"gaining":[34],"momentum":[35],"interdisciplinary":[37],"applications.":[38],"In":[39],"China,":[40],"industry":[43],"witnessed":[45],"notable":[46],"advancements":[47],"through":[48,126],"convergence":[50],"BIM,":[52],"AI,":[53],"cloud":[55],"data.":[56],"However,":[57],"current":[59],"state":[60],"intelligent":[62,86,182],"China":[66],"reveals":[67],"certain":[68,110],"limitations":[69,121],"that":[70],"hinder":[71],"its":[72],"comprehensive":[73],"development.":[74],"This":[75,112],"study":[76,141],"addresses":[77],"these":[78,106,120],"challenges":[79],"by":[80],"focusing":[81],"on":[82],"design":[84],"recognition":[87,147],"algorithms":[88],"for":[89],"monitoring":[90],"structural":[91],"damage":[92,165],"during":[93],"bridge":[94,163,190],"construction.":[95],"Previous":[96],"research":[97,173],"primarily":[99],"employed":[100],"classical":[101],"neural":[102,145],"network":[103,146],"algorithms,":[104],"but":[105],"approaches":[107],"have":[108],"exhibited":[109],"limitations.":[111],"paper":[113],"proposes":[114],"innovative":[115],"improvement":[116],"measures":[117],"to":[118,131,159],"overcome":[119],"demonstrates":[123],"their":[124],"effectiveness":[125],"practical":[127],"arithmetic":[128],"examples.":[129],"Furthermore,":[130],"enhance":[132],"intelligence":[134],"level":[135],"system,":[139],"this":[140,172],"integrates":[142],"improved":[144],"algorithm":[148],"into":[149,177],"framework.":[152],"enables":[155],"system":[158],"recognize":[160],"assess":[162],"structure":[164],"efficiently":[166],"accurately.":[168],"outcomes":[170],"provide":[174],"valuable":[175],"insights":[176],"advancing":[178],"field":[180],"technology,":[184],"particularly":[185],"context":[188],"monitoring.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}