{"id":"https://openalex.org/W3173768697","doi":"https://doi.org/10.1109/tcsvt.2021.3091581","title":"Multi-Level View Associative Convolution Network for View-Based 3D Model Retrieval","display_name":"Multi-Level View Associative Convolution Network for View-Based 3D Model Retrieval","publication_year":2021,"publication_date":"2021-06-22","ids":{"openalex":"https://openalex.org/W3173768697","doi":"https://doi.org/10.1109/tcsvt.2021.3091581","mag":"3173768697"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3091581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3091581","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","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/A5048947531","display_name":"Zan Gao","orcid":"https://orcid.org/0000-0003-2182-5741"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Gao","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-2182-5741","affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456260","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-5072-8441"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5072-8441","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408716","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0002-7627-4142"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075938343","display_name":"Weili Guan","orcid":"https://orcid.org/0000-0002-5658-5509"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weili Guan","raw_affiliation_strings":["Faculty of Information Technology, Monash University Clayton Campus, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University Clayton Campus, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003891192","display_name":"Feng Dong","orcid":"https://orcid.org/0000-0002-1485-2402"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Feng","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of AISNT, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1485-2402","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of AISNT, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6705-3831","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7122,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96888842,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":"4","first_page":"2264","last_page":"2278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.831701934337616},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6656655073165894},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5476889610290527},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5455113053321838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221084356307983},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5152373909950256},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.507925808429718},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.4936107397079468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4688362181186676},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45792609453201294},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43887585401535034},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.438395619392395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4284699559211731},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2930684983730316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27709534764289856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831701934337616},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6656655073165894},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5476889610290527},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5455113053321838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221084356307983},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5152373909950256},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.507925808429718},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.4936107397079468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4688362181186676},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45792609453201294},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43887585401535034},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.438395619392395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4284699559211731},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2930684983730316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27709534764289856},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3091581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3091581","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G1592249304","display_name":null,"funder_award_id":"62020106004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1730759710","display_name":"\u57fa\u4e8e\u591a\u89c6\u89d2\u548c\u591a\u6a21\u6001\u6f5c\u5728\u5173\u8054\u6316\u6398\u7684\u4eba\u4f53\u52a8\u4f5c\u8bc6\u522b\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61572357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5370040448","display_name":null,"funder_award_id":"92048301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8806062088","display_name":"\u57fa\u4e8e\u53cc\u94fe\u6df1\u5ea6\u65f6\u7a7a\u7f51\u7edc\u7684\u8de8\u57df\u4eba\u4f53\u52a8\u4f5c\u8bc6\u522b\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61872270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8907525788","display_name":null,"funder_award_id":"2020KJC-JC01","funder_id":"https://openalex.org/F4320328720","funder_display_name":"Qilu University of Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328720","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1629010235","https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2002552945","https://openalex.org/W2021122545","https://openalex.org/W2048997552","https://openalex.org/W2064675550","https://openalex.org/W2068078373","https://openalex.org/W2097117768","https://openalex.org/W2106629076","https://openalex.org/W2118376687","https://openalex.org/W2127575804","https://openalex.org/W2137914836","https://openalex.org/W2161236525","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2278868814","https://openalex.org/W2342223463","https://openalex.org/W2398467116","https://openalex.org/W2469169366","https://openalex.org/W2502206489","https://openalex.org/W2518780089","https://openalex.org/W2520861906","https://openalex.org/W2529895177","https://openalex.org/W2560609797","https://openalex.org/W2572117954","https://openalex.org/W2774433906","https://openalex.org/W2787981277","https://openalex.org/W2790362762","https://openalex.org/W2799162093","https://openalex.org/W2888486794","https://openalex.org/W2890018557","https://openalex.org/W2891726870","https://openalex.org/W2896196878","https://openalex.org/W2901328566","https://openalex.org/W2905173041","https://openalex.org/W2906435411","https://openalex.org/W2921891839","https://openalex.org/W2962731536","https://openalex.org/W2962889053","https://openalex.org/W2962928871","https://openalex.org/W2963443993","https://openalex.org/W2963632978","https://openalex.org/W2963744743","https://openalex.org/W2964271799","https://openalex.org/W2964342398","https://openalex.org/W2976726839","https://openalex.org/W3007132505","https://openalex.org/W3009238340","https://openalex.org/W3014622751","https://openalex.org/W3016258792","https://openalex.org/W3044215718","https://openalex.org/W3105755799","https://openalex.org/W3107322323","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6633448084","https://openalex.org/W6637373629","https://openalex.org/W6682082992","https://openalex.org/W6687484953","https://openalex.org/W6712520605","https://openalex.org/W6713517206","https://openalex.org/W6732640084","https://openalex.org/W6739778489"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2357412443"],"abstract_inverted_index":{"With":[0],"the":[1,19,50,55,86,91,102,109,114,167,173,179,193,198,204,211,214,218,242,248,257,261,292,297,316],"continuous":[2],"improvement":[3],"of":[4,22,39,41,95,105,170,175,260,289,299,315],"image":[5],"processing":[6],"capabilities,":[7],"a":[8,36,60,99,146,186,231],"three-dimensional":[9],"(3D)":[10],"model":[11,53,66,78,88,164,270],"that":[12,279],"can":[13,81,283],"contain":[14],"rich":[15],"information":[16],"is":[17,35,222,253,295,303],"becoming":[18],"fourth":[20],"type":[21],"multimedia":[23],"data":[24,57],"(in":[25],"addition":[26],"to":[27,45,160,202,225,255,313],"sound,":[28],"image,":[29],"and":[30,47,72,108,127,148,178,197,213,276,309,320],"video).":[31],"Moreover,":[32,217],"since":[33],"there":[34],"wide":[37],"range":[38],"applications":[40],"3D":[42,65,77,87,100,163,232,262,269],"models,":[43],"how":[44],"quickly":[46],"effectively":[48],"obtain":[49],"correct":[51],"target":[52],"from":[54,210],"massive":[56],"has":[58],"become":[59],"key":[61],"issue.":[62],"To":[63,137],"date,":[64],"retrieval":[67,79,89,271],"approaches":[68],"have":[69],"been":[70],"proposed,":[71],"in":[73,98,118,132,141,185,230,287],"these":[74,122,139,236],"approaches,":[75],"view-based":[76,162],"methods":[80,286],"achieve":[82],"satisfactory":[83],"performance.":[84],"In":[85,234],"task,":[90],"latent":[92,205],"relationship":[93,168],"mining":[94],"all":[96],"images":[97],"model,":[101],"adaptive":[103],"fusion":[104,174,220],"different":[106,176,208,228],"images,":[107,172,177],"discriminative":[110,258],"feature":[111,180],"extraction":[112],"are":[113,124,129,183,239],"main":[115],"challenges,":[116],"but":[117],"most":[119],"existing":[120],"solutions,":[121],"issues":[123],"separately":[125],"performed":[126],"they":[128],"not":[130],"explored":[131],"an":[133],"end-to-end":[134,188],"network":[135,154],"architecture.":[136],"solve":[138],"issues,":[140],"this":[142],"work,":[143],"we":[144,191],"propose":[145],"novel":[147],"effective":[149],"multi-level":[150],"view":[151],"associative":[152],"convolution":[153],"(":[155],"<bold":[156,243,280,300],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157,244,281,301],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">MLVACN</b>":[158,245,282,302],")":[159],"realize":[161],"retrieval,":[165],"where":[166],"exploration":[169],"multiple-view":[171],"discrimination":[181,250],"learning":[182],"realized":[184],"unified":[187],"framework.":[189],"Specifically,":[190],"design":[192],"group":[194],"association":[195,200],"layer":[196,201,221],"block":[199],"study":[203],"relationships":[206],"among":[207],"views":[209,229],"view-level":[212],"block-level,":[215],"respectively.":[216,323],"weight":[219],"further":[223],"designed":[224],"adaptively":[226],"fuse":[227],"model.":[233,263],"addition,":[235],"three":[237,268],"layers":[238],"embedded":[240],"into":[241],".":[246],"Finally,":[247],"pairwise":[249],"loss":[251],"function":[252],"proposed":[254],"learn":[256],"features":[259],"Extensive":[264],"experimental":[265],"results":[266],"on":[267],"datasets":[272],"including":[273],"ModelNet40,":[274],"ModelNet10,":[275],"ShapeNetCore55":[277],"demonstrate":[278],"outperform":[284],"state-of-the-art":[285],"term":[288],"mAP.":[290],"When":[291],"ModelNet40":[293],"dataset":[294],"used,":[296],"mAP":[298],"improved":[304],"by":[305],"13.25%,":[306],"7.75%,":[307],"3.95%,":[308],"0.61%":[310],"as":[311],"compared":[312],"those":[314],"MVCNN,":[317],"GVCNN,":[318],"PVNet,":[319],"MLVCNN":[321],"methods,":[322]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}