{"id":"https://openalex.org/W2974487244","doi":"https://doi.org/10.1109/tifs.2019.2941800","title":"Progressively Refined Face Detection Through Semantics-Enriched Representation Learning","display_name":"Progressively Refined Face Detection Through Semantics-Enriched Representation Learning","publication_year":2019,"publication_date":"2019-09-16","ids":{"openalex":"https://openalex.org/W2974487244","doi":"https://doi.org/10.1109/tifs.2019.2941800","mag":"2974487244"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2019.2941800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2941800","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/A5101804803","display_name":"Zhihang Li","orcid":"https://orcid.org/0000-0002-9305-7924"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihang Li","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing and the CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9305-7924","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing and the CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059262797","display_name":"Xu Tang","orcid":"https://orcid.org/0000-0003-1375-0778"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Tang","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049612204","display_name":"Xiang Wu","orcid":"https://orcid.org/0000-0001-5317-1338"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5317-1338","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076936566","display_name":"Jingtuo Liu","orcid":"https://orcid.org/0000-0003-0566-0780"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingtuo Liu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0566-0780","affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112749024","display_name":"Ran He","orcid":"https://orcid.org/0000-0002-3807-991X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran He","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing and the CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-991X","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing and the CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0232,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.77829632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":null,"first_page":"1394","last_page":"1406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962999820709229,"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":0.8611763715744019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7500345706939697},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7166646122932434},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6756879091262817},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6192324757575989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082343459129333},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5938266515731812},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5636460781097412},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5231189131736755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48975658416748047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44216880202293396},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4374939799308777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8611763715744019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7500345706939697},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7166646122932434},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6756879091262817},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6192324757575989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082343459129333},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5938266515731812},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5636460781097412},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5231189131736755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48975658416748047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44216880202293396},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4374939799308777},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2019.2941800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2941800","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G3666211740","display_name":null,"funder_award_id":"JQ18017","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6261893707","display_name":null,"funder_award_id":"61622310","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W182571476","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849007038","https://openalex.org/W1901129140","https://openalex.org/W1924770834","https://openalex.org/W1932624639","https://openalex.org/W1934410531","https://openalex.org/W2015268479","https://openalex.org/W2031489346","https://openalex.org/W2034025266","https://openalex.org/W2041497292","https://openalex.org/W2047508432","https://openalex.org/W2064675550","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2157285372","https://openalex.org/W2162813111","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2168894214","https://openalex.org/W2194775991","https://openalex.org/W2209882149","https://openalex.org/W2247274765","https://openalex.org/W2288122362","https://openalex.org/W2296073425","https://openalex.org/W2325939864","https://openalex.org/W2341528187","https://openalex.org/W2432917172","https://openalex.org/W2473640056","https://openalex.org/W2490270993","https://openalex.org/W2504335775","https://openalex.org/W2565639579","https://openalex.org/W2578555672","https://openalex.org/W2579152745","https://openalex.org/W2579985080","https://openalex.org/W2613718673","https://openalex.org/W2623177501","https://openalex.org/W2623419110","https://openalex.org/W2752782242","https://openalex.org/W2754700116","https://openalex.org/W2772572186","https://openalex.org/W2778476852","https://openalex.org/W2787477806","https://openalex.org/W2888728082","https://openalex.org/W2916199694","https://openalex.org/W2962917547","https://openalex.org/W2962992847","https://openalex.org/W2963011882","https://openalex.org/W2963307811","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963460857","https://openalex.org/W2963495494","https://openalex.org/W2963566548","https://openalex.org/W2963572007","https://openalex.org/W2963606038","https://openalex.org/W2963770578","https://openalex.org/W2963856926","https://openalex.org/W2964014798","https://openalex.org/W2964325361","https://openalex.org/W2985214930","https://openalex.org/W3097096317","https://openalex.org/W3098090606","https://openalex.org/W3101998545","https://openalex.org/W3106250896","https://openalex.org/W4385245566","https://openalex.org/W6607458078","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6640212811","https://openalex.org/W6660695881","https://openalex.org/W6662335928","https://openalex.org/W6684006261","https://openalex.org/W6684191040","https://openalex.org/W6684665197","https://openalex.org/W6700903540","https://openalex.org/W6732243160","https://openalex.org/W6738882898","https://openalex.org/W6739208540","https://openalex.org/W6739901393","https://openalex.org/W6743555153","https://openalex.org/W6743948872","https://openalex.org/W6746177538","https://openalex.org/W6748436355","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W1775397219","https://openalex.org/W4320802741","https://openalex.org/W2592385986","https://openalex.org/W2546942002","https://openalex.org/W4375928714","https://openalex.org/W4307326401","https://openalex.org/W2974487244","https://openalex.org/W4378529117"],"abstract_inverted_index":{"Feature":[0,144,149],"pyramids":[1],"aim":[2],"to":[3,44,71,88,116,122],"learn":[4,45],"multi-scale":[5],"representations":[6,67],"for":[7,55,153],"detecting":[8],"faces":[9,28],"over":[10,19,180],"various":[11,130],"scales.":[12],"However,":[13],"they":[14],"often":[15],"lack":[16],"adequate":[17],"context":[18],"different":[20,165],"scales,":[21],"especially":[22],"when":[23],"there":[24],"are":[25,62,151,157],"many":[26],"tiny":[27,105],"in":[29],"the":[30,123,175],"wild.":[31],"In":[32,78],"this":[33],"paper,":[34],"we":[35,107,126],"propose":[36],"an":[37,80],"attention-guided":[38],"semantically":[39],"enriched":[40],"feature":[41,47,97,119,131],"aggregation":[42,166],"framework":[43,179],"a":[46,86,110],"pyramid":[48,132],"with":[49],"rich":[50],"semantics":[51],"at":[52],"all":[53],"scales":[54],"face":[56,154,171],"detection.":[57],"Specifically,":[58],"high-level":[59],"abstract":[60],"features":[61,91,95],"directly":[63],"integrated":[64],"into":[65],"low-level":[66],"by":[68,100],"skip":[69],"connections":[70],"retain":[72],"as":[73,76,85],"much":[74],"semantic":[75],"possible.":[77],"addition,":[79],"attention":[81],"mechanism":[82],"is":[83],"employed":[84],"gate":[87],"emphasize":[89],"relevant":[90],"and":[92,128,146,159],"suppress":[93],"useless":[94],"during":[96],"fusion.":[98],"Inspired":[99],"human":[101],"visual":[102],"perception":[103],"of":[104,177],"faces,":[106],"specially":[108],"design":[109,127],"deep":[111],"progressive":[112],"refined":[113],"loss":[114],"(DPRL)":[115],"effectively":[117],"facilitate":[118],"learning.":[120],"According":[121],"above":[124],"principles,":[125],"investigate":[129],"frameworks":[133],"through":[134],"extensive":[135],"experiments.":[136],"Finally,":[137],"two":[138],"typical":[139],"structures":[140],"named":[141],"Centralized":[142],"Attention":[143,148],"(CAF)":[145],"Distributed":[147],"(DAF)":[150],"proposed":[152],"detection,":[155],"which":[156],"in-place":[158],"end-to-end":[160],"trainable.":[161],"Extensive":[162],"experiments":[163],"across":[164],"architectures":[167],"on":[168],"four":[169],"challenging":[170],"detection":[172],"benchmarks":[173],"demonstrate":[174],"superiority":[176],"our":[178],"state-of-the-art":[181],"methods.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}