{"id":"https://openalex.org/W2145962650","doi":"https://doi.org/10.1145/1970392.1970395","title":"Robust principal component analysis?","display_name":"Robust principal component analysis?","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2145962650","doi":"https://doi.org/10.1145/1970392.1970395","mag":"2145962650"},"language":"en","primary_location":{"id":"doi:10.1145/1970392.1970395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1970392.1970395","pdf_url":null,"source":{"id":"https://openalex.org/S118992489","display_name":"Journal of the ACM","issn_l":"0004-5411","issn":["0004-5411","1557-735X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the ACM","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/A5072495084","display_name":"Emmanuel J. Cand\u00e8s","orcid":"https://orcid.org/0000-0001-9234-924X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmanuel J. Cand\u00e8s","raw_affiliation_strings":["Stanford University, Stanford, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369688","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0001-8285-8446"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["Stanford University, Stanford, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062841020","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0001-5485-419X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yi Ma","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, Microsoft Research Asia, Beijing, China","University of Illinois at Urbana-Champaign, Urbana, IL, Microsoft Research Asia, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I4210113369"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, Microsoft Research Asia, Beijing, China#TAB#","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019610791","display_name":"John Wright","orcid":"https://orcid.org/0000-0003-2683-4428"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"John Wright","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":378.4554,"has_fulltext":false,"cited_by_count":6865,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"58","issue":"3","first_page":"1","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9767000079154968,"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/T11564","display_name":"Mathematical Inequalities and Applications","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.9341126680374146},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8160593509674072},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.7344191074371338},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.6409637928009033},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.6064071655273438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5940435528755188},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5690041184425354},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5388450622558594},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5107598304748535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4770968556404114},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4739656150341034},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4575795531272888},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.45175448060035706},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4483635425567627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4309626817703247},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42232221364974976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4119977653026581},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37306803464889526},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.12765374779701233},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09296813607215881}],"concepts":[{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.9341126680374146},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8160593509674072},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.7344191074371338},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.6409637928009033},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.6064071655273438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5940435528755188},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5690041184425354},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5388450622558594},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5107598304748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4770968556404114},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4739656150341034},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4575795531272888},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.45175448060035706},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4483635425567627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4309626817703247},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42232221364974976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4119977653026581},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37306803464889526},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.12765374779701233},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09296813607215881},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1970392.1970395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1970392.1970395","pdf_url":null,"source":{"id":"https://openalex.org/S118992489","display_name":"Journal of the ACM","issn_l":"0004-5411","issn":["0004-5411","1557-735X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the ACM","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.162.1703","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.162.1703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.acm.caltech.edu/~emmanuel/papers/RobustPCA.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.2211","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.2211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.columbia.edu/~jw2966/Candes11-JACM.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.472.9135","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.9135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://perception.csl.illinois.edu/matrix-rank/Files/RPCA_JACM.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.721.4545","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.721.4545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://iweb.tntech.edu/rqiu/readinggroup/Robust%20Principal%20Component%20Analysis.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4995637190","display_name":null,"funder_award_id":"IIS 08-49292ECCS 07-01676","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G637437176","display_name":null,"funder_award_id":"IIS 08-49292ECCS 07-01676","funder_id":"https://openalex.org/F4320337392","funder_display_name":"Division of Electrical, Communications and Cyber Systems"},{"id":"https://openalex.org/G7744928972","display_name":null,"funder_award_id":"N00014-09-1-0469N00014-08-1-0749N00014-09-1-0230","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1513013675","https://openalex.org/W1529624360","https://openalex.org/W1548849615","https://openalex.org/W1573820523","https://openalex.org/W1608074891","https://openalex.org/W1669104078","https://openalex.org/W1736339626","https://openalex.org/W1916337001","https://openalex.org/W1967841763","https://openalex.org/W1983357136","https://openalex.org/W1989638282","https://openalex.org/W1996287810","https://openalex.org/W2000157792","https://openalex.org/W2001141328","https://openalex.org/W2001801912","https://openalex.org/W2003753589","https://openalex.org/W2004026774","https://openalex.org/W2009702064","https://openalex.org/W2011181254","https://openalex.org/W2011359124","https://openalex.org/W2019569173","https://openalex.org/W2023722580","https://openalex.org/W2047071281","https://openalex.org/W2059283452","https://openalex.org/W2063392856","https://openalex.org/W2071128523","https://openalex.org/W2073414385","https://openalex.org/W2078204800","https://openalex.org/W2085261163","https://openalex.org/W2097308346","https://openalex.org/W2100556411","https://openalex.org/W2101117936","https://openalex.org/W2102625004","https://openalex.org/W2103972604","https://openalex.org/W2118550318","https://openalex.org/W2120872934","https://openalex.org/W2123921160","https://openalex.org/W2131172946","https://openalex.org/W2134332047","https://openalex.org/W2144730813","https://openalex.org/W2145096794","https://openalex.org/W2146482778","https://openalex.org/W2147152072","https://openalex.org/W2148694408","https://openalex.org/W2150489380","https://openalex.org/W2165916500","https://openalex.org/W2166163936","https://openalex.org/W2167732364","https://openalex.org/W2244441628","https://openalex.org/W2339666411","https://openalex.org/W2341535507","https://openalex.org/W2489822048","https://openalex.org/W2545783767","https://openalex.org/W2611328865","https://openalex.org/W2625321454","https://openalex.org/W2965497096","https://openalex.org/W3016038865","https://openalex.org/W3104501706","https://openalex.org/W3124114587","https://openalex.org/W3150565301","https://openalex.org/W4285719527","https://openalex.org/W6634225129","https://openalex.org/W6722760417","https://openalex.org/W6776535907"],"related_works":["https://openalex.org/W2184500224","https://openalex.org/W2060132011","https://openalex.org/W2963965423","https://openalex.org/W2964352004","https://openalex.org/W2990436289","https://openalex.org/W2732461152","https://openalex.org/W2006410278","https://openalex.org/W2739519408","https://openalex.org/W2309638141","https://openalex.org/W2987448587"],"abstract_inverted_index":{"This":[0,82,123],"article":[1],"is":[2,14,39],"about":[3],"a":[4,10,18,22,53,69,87,109,114,129,166,179],"curious":[5],"phenomenon.":[6],"Suppose":[7],"we":[8,26],"have":[9],"data":[11,110],"matrix,":[12],"which":[13],"the":[15,44,47,73,78,84,105,126,132,151,161,171],"superposition":[16],"of":[17,72,77,86,108,117,131,153,163,173,182,189],"low-rank":[19,45],"component":[20,29,93],"and":[21,46,76,98,147,169,185],"sparse":[23,48],"component.":[24],"Can":[25],"recover":[27,42,104],"each":[28],"individually?":[30],"We":[31,138],"prove":[32],"that":[33,101],"under":[34],"some":[35],"suitable":[36],"assumptions,":[37],"it":[38,177],"possible":[40],"to":[41,90,125],"both":[43],"components":[49,107],"exactly":[50],"by":[51],"solving":[52,143],"very":[54],"convenient":[55],"convex":[56],"program":[57],"called":[58],"Principal":[59],"Component":[60],"Pursuit":[61],";":[62],"among":[63],"all":[64],"feasible":[65],"decompositions,":[66],"simply":[67],"minimize":[68],"weighted":[70],"combination":[71],"nuclear":[74],"norm":[75],"\u2113":[79],"1":[80],"norm.":[81],"suggests":[83],"possibility":[85],"principled":[88,180],"approach":[89],"robust":[91],"principal":[92,106],"analysis":[94],"since":[95],"our":[96,157],"methodology":[97,158],"results":[99],"assert":[100],"one":[102],"can":[103],"matrix":[111],"even":[112],"though":[113],"positive":[115],"fraction":[116,130],"its":[118],"entries":[119,133],"are":[120,134],"arbitrarily":[121],"corrupted.":[122],"extends":[124],"situation":[127],"where":[128,156,176],"missing":[135],"as":[136],"well.":[137],"discuss":[139],"an":[140],"algorithm":[141],"for":[142,160],"this":[144],"optimization":[145],"problem,":[146],"present":[148],"applications":[149],"in":[150,165,170,187],"area":[152,172],"video":[154],"surveillance,":[155],"allows":[159],"detection":[162],"objects":[164],"cluttered":[167],"background,":[168],"face":[174],"recognition,":[175],"offers":[178],"way":[181],"removing":[183],"shadows":[184],"specularities":[186],"images":[188],"faces.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":113},{"year":2025,"cited_by_count":326},{"year":2024,"cited_by_count":360},{"year":2023,"cited_by_count":385},{"year":2022,"cited_by_count":451},{"year":2021,"cited_by_count":519},{"year":2020,"cited_by_count":589},{"year":2019,"cited_by_count":654},{"year":2018,"cited_by_count":622},{"year":2017,"cited_by_count":643},{"year":2016,"cited_by_count":591},{"year":2015,"cited_by_count":502},{"year":2014,"cited_by_count":471},{"year":2013,"cited_by_count":290},{"year":2012,"cited_by_count":220}],"updated_date":"2026-06-27T08:28:00.272161","created_date":"2025-10-10T00:00:00"}
