{"id":"https://openalex.org/W4409900672","doi":"https://doi.org/10.1177/14727978251337910","title":"Painting style classification and art image analysis model by fusion of convolutional neural network and principal component analysis","display_name":"Painting style classification and art image analysis model by fusion of convolutional neural network and principal component analysis","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4409900672","doi":"https://doi.org/10.1177/14727978251337910"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251337910","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251337910","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101934081","display_name":"Baojun Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I2801299723","display_name":"Sichuan Fine Arts Institute","ror":"https://ror.org/04bmm0q23","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801299723"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baojun Xiao","raw_affiliation_strings":["Academy of Fine Arts, Chongqing Preschool Education College, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Academy of Fine Arts, Chongqing Preschool Education College, Chongqing, China","institution_ids":["https://openalex.org/I2801299723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402172","display_name":"Hongbo Li","orcid":"https://orcid.org/0000-0003-0507-9662"},"institutions":[{"id":"https://openalex.org/I4210116144","display_name":"Chongqing University of Education","ror":"https://ror.org/02d06s578","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116144"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Li","raw_affiliation_strings":["College of Intelligent Technology, Chongqing Preschool Education College, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligent Technology, Chongqing Preschool Education College, Chongqing, China","institution_ids":["https://openalex.org/I4210116144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101934081"],"corresponding_institution_ids":["https://openalex.org/I2801299723"],"apc_list":null,"apc_paid":null,"fwci":4.4946,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94156764,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"25","issue":"5","first_page":"4048","last_page":"4060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12981","display_name":"Conservation Techniques and Studies","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1206","display_name":"Conservation"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7730172872543335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7442010641098022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336866855621338},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7212501168251038},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6447209119796753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6219789385795593},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5484448671340942},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47957032918930054},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43367883563041687}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7730172872543335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7442010641098022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336866855621338},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7212501168251038},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6447209119796753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6219789385795593},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5484448671340942},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47957032918930054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43367883563041687},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251337910","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251337910","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2994639901","https://openalex.org/W3011424859","https://openalex.org/W3013927267","https://openalex.org/W3024333932","https://openalex.org/W3036061420","https://openalex.org/W3082834449","https://openalex.org/W3093547668","https://openalex.org/W3120671187","https://openalex.org/W3134765613","https://openalex.org/W3155362250","https://openalex.org/W3165355909","https://openalex.org/W3167655401","https://openalex.org/W3176363435","https://openalex.org/W3189036007","https://openalex.org/W3217602012","https://openalex.org/W3217805202","https://openalex.org/W4240498108","https://openalex.org/W4284702432","https://openalex.org/W4293695150","https://openalex.org/W4308556066","https://openalex.org/W4308579274","https://openalex.org/W4312075150","https://openalex.org/W4313589664","https://openalex.org/W4388459659"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,26,51,78,103,143],"challenges":[3],"of":[4,96,105,114,145],"poor":[5],"adaptability":[6],"to":[7,56],"multi-scale":[8],"features":[9],"and":[10,44,63,69,87,120,134,168],"high-dimensional":[11],"redundancy":[12],"in":[13,98,163],"painting":[14,71,100],"style":[15,140],"classification,":[16,141],"this":[17],"study":[18,130],"proposes":[19],"an":[20,92,132],"improved":[21],"classification":[22,61,94,112],"method":[23],"by":[24],"integrating":[25],"Xception":[27,38],"network":[28],"with":[29,73,111,149],"Principal":[30],"Component":[31],"Analysis":[32],"(PCA)":[33],"for":[34,117,123,137,157],"dimensionality":[35,150],"reduction.":[36,151],"The":[37,152],"model":[39,80],"extracts":[40],"both":[41],"fine-grained":[42],"details":[43],"global":[45],"semantic":[46],"information,":[47],"while":[48],"PCA":[49,106],"selects":[50],"most":[52],"discriminative":[53],"principal":[54],"components":[55],"reduce":[57],"redundant":[58],"features,":[59],"enhancing":[60],"accuracy":[62,95],"efficiency.":[64],"Experiments":[65],"conducted":[66],"on":[67],"Eastern":[68,118],"Western":[70,99,124],"datasets":[72],"10-fold":[74],"cross-validation":[75],"demonstrate":[76],"that":[77],"proposed":[79],"outperforms":[81],"state-of-the-art":[82],"methods,":[83],"including":[84],"EfficientNet,":[85],"RegNet,":[86],"ConvNeXT.":[88],"Notably,":[89],"it":[90],"achieves":[91],"average":[93],"0.973":[97],"classification.":[101],"Moreover,":[102],"integration":[104],"significantly":[107],"reduces":[108],"computation":[109],"time,":[110],"speeds":[113],"105":[115],"ms":[116,122],"paintings":[119],"100":[121],"paintings,":[125],"surpassing":[126],"benchmark":[127],"models.":[128],"This":[129],"presents":[131],"efficient":[133],"precise":[135],"solution":[136],"automated":[138],"art":[139,159],"demonstrating":[142],"effectiveness":[144],"combining":[146],"deep":[147],"learning":[148],"findings":[153],"offer":[154],"valuable":[155],"insights":[156],"computational":[158],"analysis,":[160],"supporting":[161],"applications":[162],"artwork":[164],"identification,":[165],"digital":[166],"archiving,":[167],"cultural":[169],"heritage":[170],"preservation.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}