{"id":"https://openalex.org/W2884066303","doi":"https://doi.org/10.1109/tpami.2018.2858819","title":"3D-Aided Dual-Agent GANs for Unconstrained Face Recognition","display_name":"3D-Aided Dual-Agent GANs for Unconstrained Face Recognition","publication_year":2018,"publication_date":"2018-07-23","ids":{"openalex":"https://openalex.org/W2884066303","doi":"https://doi.org/10.1109/tpami.2018.2858819","mag":"2884066303","pmid":"https://pubmed.ncbi.nlm.nih.gov/30040629"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2858819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2858819","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5078587654","display_name":"Jian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064802483","display_name":"Lin Xiong","orcid":"https://orcid.org/0000-0003-3545-227X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Xiong","raw_affiliation_strings":["Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478393","display_name":"Jianshu Li","orcid":"https://orcid.org/0000-0001-8554-6886"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jianshu Li","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076090670","display_name":"Junliang Xing","orcid":"https://orcid.org/0000-0001-6801-0510"},"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":"Junliang Xing","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668696","display_name":"Jiashi Feng","orcid":"https://orcid.org/0000-0001-6843-0064"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiashi Feng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078587654"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":6.7016,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.97591979,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"41","issue":"10","first_page":"2380","last_page":"2394"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9934999942779541,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9918000102043152,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.690606951713562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685489296913147},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.624428391456604},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6183044910430908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5458406209945679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5350459814071655},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5294781923294067}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.690606951713562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685489296913147},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.624428391456604},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6183044910430908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5458406209945679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5350459814071655},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5294781923294067},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2018.2858819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2858819","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:30040629","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30040629","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2064497395","display_name":null,"funder_award_id":"61672519","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2338325565","display_name":null,"funder_award_id":"NUS IDS R-263-000-C67-646","funder_id":"https://openalex.org/F4320320698","funder_display_name":"National University of Singapore"},{"id":"https://openalex.org/G2818171435","display_name":null,"funder_award_id":"MOE Tier-I R-263-000-C21-112","funder_id":"https://openalex.org/F4320320698","funder_display_name":"National University of Singapore"},{"id":"https://openalex.org/G2861188614","display_name":null,"funder_award_id":"ECRA R-263-000-C87-133","funder_id":"https://openalex.org/F4320320698","funder_display_name":"National University of Singapore"},{"id":"https://openalex.org/G7163065867","display_name":null,"funder_award_id":"201503170248","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G905777319","display_name":null,"funder_award_id":"R-263-000-C08-133","funder_id":"https://openalex.org/F4320320698","funder_display_name":"National University of Singapore"}],"funders":[{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W975491072","https://openalex.org/W1528027764","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1895390915","https://openalex.org/W1903029394","https://openalex.org/W1909320841","https://openalex.org/W1916406603","https://openalex.org/W1935685005","https://openalex.org/W1949778830","https://openalex.org/W1955369839","https://openalex.org/W1959608418","https://openalex.org/W2025382794","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2145287260","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2217448953","https://openalex.org/W2275811363","https://openalex.org/W2304348237","https://openalex.org/W2307523691","https://openalex.org/W2325939864","https://openalex.org/W2335787378","https://openalex.org/W2336258321","https://openalex.org/W2404498690","https://openalex.org/W2441198140","https://openalex.org/W2507920704","https://openalex.org/W2515770085","https://openalex.org/W2518260411","https://openalex.org/W2519753233","https://openalex.org/W2526639894","https://openalex.org/W2526643975","https://openalex.org/W2548275288","https://openalex.org/W2548780814","https://openalex.org/W2549139847","https://openalex.org/W2598915960","https://openalex.org/W2600537992","https://openalex.org/W2605195953","https://openalex.org/W2616063741","https://openalex.org/W2726427712","https://openalex.org/W2737047298","https://openalex.org/W2740223418","https://openalex.org/W2752782242","https://openalex.org/W2753407461","https://openalex.org/W2785996189","https://openalex.org/W2949117887","https://openalex.org/W2950776302","https://openalex.org/W2951552869","https://openalex.org/W2962725301","https://openalex.org/W2963100452","https://openalex.org/W2963137102","https://openalex.org/W2963226019","https://openalex.org/W2963420686","https://openalex.org/W2963559058","https://openalex.org/W2963570419","https://openalex.org/W2963709863","https://openalex.org/W2963839617","https://openalex.org/W2964337551","https://openalex.org/W3101036461","https://openalex.org/W4293478066","https://openalex.org/W4295274059","https://openalex.org/W4320013936","https://openalex.org/W6625299338","https://openalex.org/W6631649180","https://openalex.org/W6638667902","https://openalex.org/W6639732818","https://openalex.org/W6640455264","https://openalex.org/W6640963894","https://openalex.org/W6641173728","https://openalex.org/W6678815747","https://openalex.org/W6700903540","https://openalex.org/W6718140377","https://openalex.org/W6729482032","https://openalex.org/W6736155344","https://openalex.org/W6737797883","https://openalex.org/W6743905813","https://openalex.org/W6748162600","https://openalex.org/W6842019321"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Synthesizing":[0],"realistic":[1],"profile":[2,119],"faces":[3,36,81],"is":[4,228,243],"beneficial":[5],"for":[6,13,97,234],"more":[7,240],"efficiently":[8],"training":[9,172],"deep":[10],"pose-invariant":[11],"models":[12],"large-scale":[14,212],"unconstrained":[15,219],"face":[16,53,75,112,120,220,254],"recognition,":[17],"by":[18],"augmenting":[19],"the":[20,40,45,49,71,84,88,132,142,145,149,158,171,211,225,244,251,261,265],"number":[21],"of":[22,48,73,246,267],"samples":[23],"with":[24,122,144,188],"extreme":[25],"poses":[26],"and":[27,51,102,138,169,213,217,269],"avoiding":[28],"costly":[29],"annotation":[30],"work.":[31],"However,":[32],"learning":[33,238],"from":[34],"synthetic":[35,50],"may":[37],"not":[38,199],"achieve":[39],"desired":[41],"performance":[42],"due":[43],"to":[44,117,134,157,161,250],"discrepancy":[46],"betwedistributions":[47],"real":[52,80,99],"images.":[54],"To":[55],"narrow":[56],"this":[57],"gap,":[58],"we":[59,107,152,259],"propose":[60],"a":[61,74,115,127,175,189,230],"Dual-Agent":[62],"Generative":[63],"Adversarial":[64],"Network":[65],"(DA-GAN)":[66],"model,":[67],"which":[68,258],"can":[69],"improve":[70],"realism":[72,89],"simulator's":[76],"output":[77],"using":[78],"unlabeled":[79],"while":[82],"preserving":[83],"identity":[85,181],"information":[86],"during":[87],"refinement.":[90],"The":[91],"dual":[92,146],"agents":[93],"are":[94],"specially":[95],"designed":[96],"distinguishing":[98],"versus":[100],"fake":[101],"identities":[103],"simultaneously.":[104],"In":[105,223],"particular,":[106],"employ":[108],"an":[109,139,180,185],"off-the-shelf":[110],"3D":[111],"model":[113],"as":[114,131,141,165,167],"simulator":[116],"generate":[118,135],"images":[121,137],"varying":[123],"poses.":[124],"DA-GAN":[125,198,227,242],"leverages":[126],"fully":[128],"convolutional":[129],"network":[130],"generator":[133],"high-resolution":[136],"auto-encoder":[140],"discriminator":[143],"agents.":[147],"Besides":[148],"novel":[150],"architecture,":[151],"make":[153],"several":[154],"key":[155],"modifications":[156],"standard":[159],"GAN":[160],"preserve":[162],"pose,":[163],"texture":[164],"well":[166],"identity,":[168],"stabilize":[170],"process:":[173],"(i)":[174],"pose":[176],"perception":[177,182],"loss;":[178,183],"(ii)":[179],"(iii)":[184],"adversarial":[186],"loss":[187],"boundary":[190],"equilibrium":[191],"regularization":[192],"term.":[193],"Experimental":[194],"results":[195,204],"show":[196],"that":[197],"only":[200],"achieves":[201],"outstanding":[202],"perceptual":[203],"but":[205],"also":[206,229],"significantly":[207],"outperforms":[208],"state-of-the-arts":[209],"on":[210,264],"challenging":[214],"NIST":[215,252],"IJB-A":[216,253],"CFP":[218],"recognition":[221,255],"benchmarks.":[222],"addition,":[224],"proposed":[226],"promising":[231],"new":[232],"approach":[233],"solving":[235],"generic":[236],"transfer":[237],"problems":[239],"effectively.":[241],"foundation":[245],"our":[247],"winning":[248],"entry":[249],"competition":[256],"in":[257],"secured":[260],"$1^{st}$":[262],"places":[263],"tracks":[266],"verification":[268],"identification.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
