{"id":"https://openalex.org/W3022956976","doi":"https://doi.org/10.1109/tcyb.2020.2985997","title":"Probabilistic Linear Discriminant Analysis Based on <i>L</i> <sub>1</sub>-Norm and Its Bayesian Variational Inference","display_name":"Probabilistic Linear Discriminant Analysis Based on <i>L</i> <sub>1</sub>-Norm and Its Bayesian Variational Inference","publication_year":2020,"publication_date":"2020-05-05","ids":{"openalex":"https://openalex.org/W3022956976","doi":"https://doi.org/10.1109/tcyb.2020.2985997","mag":"3022956976","pmid":"https://pubmed.ncbi.nlm.nih.gov/32386179"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2985997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2985997","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5060285528","display_name":"Xiangjie Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Hu","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082380547","display_name":"Yanfeng Sun","orcid":"https://orcid.org/0000-0002-0872-384X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Sun","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0872-384X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":["Discipline of Business Analytics, University of Sydney Business School, University of Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9803-0256","affiliations":[{"raw_affiliation_string":"Discipline of Business Analytics, University of Sydney Business School, University of Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027329007","display_name":"Yongli Hu","orcid":"https://orcid.org/0000-0003-0440-438X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Hu","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0440-438X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077865965","display_name":"Fujiao Ju","orcid":"https://orcid.org/0000-0002-0188-6996"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujiao Ju","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0188-6996","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4817,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.61975192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"52","issue":"3","first_page":"1616","last_page":"1627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/outlier","display_name":"Outlier","score":0.6331316232681274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551024317741394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5310022830963135},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5207781195640564},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5171481966972351},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.47078436613082886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47061875462532043},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4569355547428131},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43556270003318787},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42931559681892395},{"id":"https://openalex.org/keywords/laplace-distribution","display_name":"Laplace distribution","score":0.41659241914749146},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4106907248497009},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1976248025894165}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6331316232681274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551024317741394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5310022830963135},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5207781195640564},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5171481966972351},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.47078436613082886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47061875462532043},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4569355547428131},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43556270003318787},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42931559681892395},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.41659241914749146},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4106907248497009},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1976248025894165},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.2985997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2985997","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:32386179","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32386179","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G169160203","display_name":null,"funder_award_id":"KM201910005028","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G191281600","display_name":null,"funder_award_id":"61672071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3146272683","display_name":null,"funder_award_id":"#U1811463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4746619204","display_name":"\u6d41\u5f62\u7a7a\u95f4\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ca\u591a\u89c6\u89d2\u4eba\u4f53\u884c\u4e3a\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5060138816","display_name":null,"funder_award_id":"61876012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5683943641","display_name":null,"funder_award_id":"61632006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7095616356","display_name":null,"funder_award_id":"2017A24","funder_id":"https://openalex.org/F4320336570","funder_display_name":"Beijing Talents Fund"},{"id":"https://openalex.org/G7744321187","display_name":null,"funder_award_id":"U19B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8812298014","display_name":null,"funder_award_id":"61806014","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/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null},{"id":"https://openalex.org/F4320336570","display_name":"Beijing Talents Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W170472577","https://openalex.org/W1571894236","https://openalex.org/W1589137271","https://openalex.org/W1663973292","https://openalex.org/W1664859298","https://openalex.org/W1969408578","https://openalex.org/W1979427949","https://openalex.org/W1985809919","https://openalex.org/W1999886012","https://openalex.org/W2001619934","https://openalex.org/W2004915807","https://openalex.org/W2008277111","https://openalex.org/W2012352340","https://openalex.org/W2027717478","https://openalex.org/W2051605894","https://openalex.org/W2052059892","https://openalex.org/W2060487848","https://openalex.org/W2062104878","https://openalex.org/W2066576934","https://openalex.org/W2076818396","https://openalex.org/W2077548500","https://openalex.org/W2079598971","https://openalex.org/W2088900896","https://openalex.org/W2093238900","https://openalex.org/W2101117936","https://openalex.org/W2121647436","https://openalex.org/W2121812409","https://openalex.org/W2123717994","https://openalex.org/W2125027820","https://openalex.org/W2129812935","https://openalex.org/W2140151376","https://openalex.org/W2141595746","https://openalex.org/W2151416140","https://openalex.org/W2151673022","https://openalex.org/W2154211011","https://openalex.org/W2159786793","https://openalex.org/W2240736559","https://openalex.org/W2395598415","https://openalex.org/W2470717811","https://openalex.org/W2963837866","https://openalex.org/W4250857377","https://openalex.org/W6682350343"],"related_works":["https://openalex.org/W2013493105","https://openalex.org/W3015442652","https://openalex.org/W1514609475","https://openalex.org/W2498388196","https://openalex.org/W2368486525","https://openalex.org/W2750968126","https://openalex.org/W4376278573","https://openalex.org/W2660824527","https://openalex.org/W2108727084","https://openalex.org/W4361192899"],"abstract_inverted_index":{"Probabilistic":[0],"linear":[1],"discriminant":[2],"analysis":[3],"(PLDA)":[4],"is":[5,127],"a":[6,34,48,66,74,93,104],"very":[7],"effective":[8],"feature":[9],"extraction":[10],"approach":[11,85],"and":[12,16,108,158],"has":[13],"obtained":[14],"extensive":[15],"successful":[17],"applications":[18,44],"in":[19,42,154],"supervised":[20],"learning":[21,81],"tasks.":[22],"It":[23],"employs":[24,83],"the":[25,29,40,52,71,84,88,111,124,129,147,150],"squared$L_{2}$-norm":[26,53],"to":[27,116,136],"measure":[28],"model":[30,69,126,153],"errors,":[31],"which":[32],"assumes":[33],"Gaussian":[35,49,100],"noise":[36,41,76],"distribution":[37],"implicitly.":[38],"However,":[39],"real-life":[43],"may":[45],"not":[46],"follow":[47],"distribution.":[50],"Particularly,":[51],"could":[54],"extremely":[55],"exaggerate":[56],"data":[57,138],"outliers.":[58,139],"To":[59],"address":[60],"this":[61,63],"issue,":[62],"article":[64],"proposes":[65],"robust":[67],"PLDA":[68],"under":[70],"assumption":[72],"of":[73,95,99,123,149,156],"Laplacian":[75,89],"distribution,":[77],"called":[78],"L1-PLDA.":[79],"The":[80,119,140],"process":[82],"by":[86],"expressing":[87],"density":[90],"function":[91],"as":[92],"superposition":[94],"an":[96],"infinite":[97],"number":[98],"distributions":[101],"via":[102],"introducing":[103],"new":[105,125],"latent":[106,131],"variable":[107,132],"then":[109],"adopts":[110],"variational":[112],"expectation\u2013maximization":[113],"(EM)":[114],"algorithm":[115],"learn":[117],"parameters.":[118],"most":[120],"significant":[121],"advantage":[122],"that":[128],"introduced":[130],"can":[133],"be":[134],"used":[135],"detect":[137],"experiments":[141],"on":[142],"several":[143],"public":[144],"databases":[145],"show":[146],"superiority":[148],"proposed":[151],"L1-PLDA":[152],"terms":[155],"classification":[157],"outlier":[159],"detection.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2020-05-13T00:00:00"}
