{"id":"https://openalex.org/W3085402119","doi":"https://doi.org/10.1109/tifs.2020.3023793","title":"Semi-Supervised Natural Face De-Occlusion","display_name":"Semi-Supervised Natural Face De-Occlusion","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3085402119","doi":"https://doi.org/10.1109/tifs.2020.3023793","mag":"3085402119"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2020.3023793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.3023793","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5091472897","display_name":"Jiancheng Cai","orcid":"https://orcid.org/0000-0003-3608-0877"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiancheng Cai","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091049278","display_name":"Hu Han","orcid":"https://orcid.org/0000-0001-6010-1792"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Han","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082106411","display_name":"Jiyun Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyun Cui","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332884","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-2218-087X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Electronics and Computer Engineering, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Electronics and Computer Engineering, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Center for Machine Vision and Signal Analysis, University of Oulu, 90570, Finland","College of System Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis, University of Oulu, 90570, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"College of System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028465673","display_name":"S. Kevin Zhou","orcid":"https://orcid.org/0000-0002-6881-4444"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"S. Kevin Zhou","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091472897"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":2.2471,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.90068562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"1044","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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/occlusion","display_name":"Occlusion","score":0.803555965423584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7938590049743652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586148977279663},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6986522078514099},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6973261833190918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6333719491958618},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5672943592071533},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5238535404205322},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5135419368743896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46480265259742737},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4135153293609619},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07721838355064392}],"concepts":[{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.803555965423584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7938590049743652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586148977279663},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6986522078514099},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6973261833190918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6333719491958618},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5672943592071533},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5238535404205322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5135419368743896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46480265259742737},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4135153293609619},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07721838355064392},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tifs.2020.3023793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.3023793","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2021042611783","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2021042611783","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1047493213","display_name":null,"funder_award_id":"2018135","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2980957224","display_name":null,"funder_award_id":"2020B1111340056","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3229855046","display_name":null,"funder_award_id":"61972217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5052683820","display_name":null,"funder_award_id":"2019B1515120049","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8623730308","display_name":null,"funder_award_id":"61672496","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1579828764","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1924619199","https://openalex.org/W1984926403","https://openalex.org/W1993120651","https://openalex.org/W2009431074","https://openalex.org/W2012875423","https://openalex.org/W2082149009","https://openalex.org/W2093212899","https://openalex.org/W2099471712","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2107369107","https://openalex.org/W2109685970","https://openalex.org/W2133665775","https://openalex.org/W2141351889","https://openalex.org/W2194775991","https://openalex.org/W2295936755","https://openalex.org/W2502312327","https://openalex.org/W2556783285","https://openalex.org/W2611104282","https://openalex.org/W2739722733","https://openalex.org/W2798365772","https://openalex.org/W2808021526","https://openalex.org/W2820458630","https://openalex.org/W2883861033","https://openalex.org/W2899309051","https://openalex.org/W2909704003","https://openalex.org/W2947622416","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963231084","https://openalex.org/W2963420272","https://openalex.org/W2963444790","https://openalex.org/W2963460857","https://openalex.org/W2963920537","https://openalex.org/W2964121744","https://openalex.org/W2984516931","https://openalex.org/W2989207674","https://openalex.org/W3043547428","https://openalex.org/W3100823116","https://openalex.org/W4249710618","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640174519","https://openalex.org/W6724804524","https://openalex.org/W6735913928","https://openalex.org/W6750997056"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4312090303","https://openalex.org/W2784931967","https://openalex.org/W4293400715","https://openalex.org/W3049340819","https://openalex.org/W4308928038","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W3112293331","https://openalex.org/W2808862658"],"abstract_inverted_index":{"Occlusions":[0],"are":[1,21,112],"often":[2],"present":[3],"in":[4,7,38,59,153,230],"face":[5,18,50,116,122,155,174,178,188,199,232],"images":[6,66,76,175],"the":[8,26,95,99,139,144,172,187,194,197,204,219,224,227],"wild,":[9],"e.g.,":[10],"under":[11],"video":[12],"surveillance":[13],"and":[14,73,180,209],"forensic":[15],"scenarios.":[16],"Existing":[17],"de-occlusion":[19,51,191],"methods":[20,229],"limited":[22],"as":[23,102],"they":[24],"require":[25],"knowledge":[27],"of":[28,70,82,98,143,163,167,196,226],"an":[29,53,87,168,181],"occlusion":[30,54,78,88,126],"mask.":[31],"To":[32],"overcome":[33],"this":[34,39],"limitation,":[35],"we":[36,147,215],"propose":[37],"paper":[40],"a":[41,60,103,120,154,210],"new":[42],"generative":[43],"adversarial":[44,145,169],"network":[45],"(named":[46],"OA-GAN)":[47],"for":[48,93,106,115],"natural":[49,75,177,213,231],"without":[52,77],"mask,":[55,89],"enabled":[56],"by":[57],"learning":[58],"semi-supervised":[61],"fashion":[62],"using":[63],"(i)":[64],"paired":[65],"with":[67,212],"known":[68],"masks":[69],"artificial":[71],"occlusions":[72,214],"(ii)":[74],"masks.":[79],"The":[80,108,124,161],"generator":[81],"our":[83,164],"approach":[84,165,221],"first":[85],"predicts":[86],"which":[90,151],"is":[91],"used":[92,114,206],"filtering":[94],"feature":[96,110],"maps":[97,111],"input":[100,198],"image":[101,156,189],"semantic":[104],"cue":[105],"de-occlusion.":[107,233],"filtered":[109],"then":[113],"completion":[117],"to":[118,138,149,158],"recover":[119],"non-occluded":[121],"image.":[123,200],"initial":[125],"mask":[127],"prediction":[128],"might":[129],"not":[130],"be":[131,159],"accurate":[132,140],"enough,":[133],"but":[134],"it":[135],"gradually":[136],"converges":[137],"one":[141],"because":[142],"loss":[146],"use":[148],"perceive":[150],"regions":[152],"need":[157],"recovered.":[160],"discriminator":[162],"consists":[166],"loss,":[170,184],"distinguishing":[171],"recovered":[173],"from":[176],"images,":[179],"attribute":[182],"preserving":[183],"ensuring":[185],"that":[186,218],"after":[190],"can":[192,222],"retain":[193],"attributes":[195],"Experimental":[201],"evaluations":[202],"on":[203],"widely":[205],"CelebA":[207],"dataset":[208,211],"collected":[216],"show":[217],"proposed":[220],"outperform":[223],"state":[225],"art":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}