{"id":"https://openalex.org/W2607764799","doi":"https://doi.org/10.1109/tnnls.2016.2643286","title":"GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy","display_name":"GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy","publication_year":2017,"publication_date":"2017-04-24","ids":{"openalex":"https://openalex.org/W2607764799","doi":"https://doi.org/10.1109/tnnls.2016.2643286","mag":"2607764799","pmid":"https://pubmed.ncbi.nlm.nih.gov/28436892"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2643286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2643286","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5072766893","display_name":"Kailing Guo","orcid":"https://orcid.org/0000-0003-4753-9022"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailing Guo","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4753-9022","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324286","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0002-8128-2788"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I4210096034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007354180","display_name":"Xiangmin Xu","orcid":"https://orcid.org/0000-0003-4573-5820"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4573-5820","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082181536","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0003-2775-9730"},"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":"Dong Xu","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"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":"Dacheng Tao","raw_affiliation_strings":["UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, J12/318 Cleveland St, Darlington, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, J12/318 Cleveland St, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":5.1018,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.96273792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"6","first_page":"2323","last_page":"2336"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9955000281333923,"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/spectral-clustering","display_name":"Spectral clustering","score":0.6505157947540283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5982053875923157},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5817656517028809},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5510379672050476},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5265101194381714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4740195870399475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4620257318019867},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.44850388169288635},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43590623140335083},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.42523831129074097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4182341694831848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4174099564552307},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.41403788328170776},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4109649658203125},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.26842743158340454}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6505157947540283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5982053875923157},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5817656517028809},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5510379672050476},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5265101194381714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4740195870399475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4620257318019867},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.44850388169288635},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43590623140335083},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.42523831129074097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4182341694831848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4174099564552307},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.41403788328170776},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4109649658203125},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.26842743158340454},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2016.2643286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2643286","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28436892","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28436892","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 neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/123832","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/123832","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G1263465211","display_name":"Multiview Complete Space Learning for Sparse Camera Network Research","funder_award_id":"FT130101457","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3572015580","display_name":null,"funder_award_id":"201406150059","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4755683731","display_name":"Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd","funder_award_id":"DP140102164","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5493199072","display_name":null,"funder_award_id":"61401163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5556617729","display_name":"Interaction Mining for Cyberbullying Detection on Social Networks","funder_award_id":"LP150100671","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6362722264","display_name":"\u57fa\u4e8e\u89c6\u76ae\u5c42\u611f\u77e5\u673a\u5236\u7684\u751f\u7269\u542f\u53d1\u8fd0\u52a8\u7279\u5f81\u5c42\u6b21\u5316\u6a21\u578b","funder_award_id":"61171142","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1069729739","https://openalex.org/W1201875361","https://openalex.org/W1514928307","https://openalex.org/W1529019671","https://openalex.org/W1573301526","https://openalex.org/W1613135907","https://openalex.org/W1672347394","https://openalex.org/W1897123318","https://openalex.org/W1901075642","https://openalex.org/W1931947167","https://openalex.org/W1976218807","https://openalex.org/W1984584327","https://openalex.org/W1986817851","https://openalex.org/W1992300915","https://openalex.org/W1993468393","https://openalex.org/W1993962865","https://openalex.org/W1995302825","https://openalex.org/W1997201895","https://openalex.org/W2007192621","https://openalex.org/W2025967130","https://openalex.org/W2030507150","https://openalex.org/W2035299679","https://openalex.org/W2036315407","https://openalex.org/W2045983409","https://openalex.org/W2050849575","https://openalex.org/W2052311585","https://openalex.org/W2054846461","https://openalex.org/W2071128523","https://openalex.org/W2079361630","https://openalex.org/W2084962682","https://openalex.org/W2091711928","https://openalex.org/W2101455165","https://openalex.org/W2102715376","https://openalex.org/W2113713615","https://openalex.org/W2120865781","https://openalex.org/W2121667911","https://openalex.org/W2123921160","https://openalex.org/W2126761607","https://openalex.org/W2129517580","https://openalex.org/W2129812935","https://openalex.org/W2131192390","https://openalex.org/W2133157266","https://openalex.org/W2135160607","https://openalex.org/W2137823674","https://openalex.org/W2139667220","https://openalex.org/W2140803156","https://openalex.org/W2142077116","https://openalex.org/W2145962650","https://openalex.org/W2150489380","https://openalex.org/W2155759509","https://openalex.org/W2165874743","https://openalex.org/W2166943865","https://openalex.org/W2189540548","https://openalex.org/W2219752407","https://openalex.org/W2273827415","https://openalex.org/W2296034168","https://openalex.org/W2331050942","https://openalex.org/W2338953098","https://openalex.org/W2399812666","https://openalex.org/W2560552919","https://openalex.org/W2572916046","https://openalex.org/W2611015177","https://openalex.org/W2963762195","https://openalex.org/W4205293427","https://openalex.org/W4230367971","https://openalex.org/W6603183647","https://openalex.org/W6634173106","https://openalex.org/W6639781355","https://openalex.org/W6640419445","https://openalex.org/W6648445850","https://openalex.org/W6678342423","https://openalex.org/W6680575119","https://openalex.org/W6680860885","https://openalex.org/W6681016373","https://openalex.org/W6684578312","https://openalex.org/W6688790339","https://openalex.org/W6697389627","https://openalex.org/W6731923219"],"related_works":["https://openalex.org/W2906988372","https://openalex.org/W2890107589","https://openalex.org/W2782904003","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W2802788970","https://openalex.org/W4226434912","https://openalex.org/W2002598339","https://openalex.org/W1995410415","https://openalex.org/W2133814741"],"abstract_inverted_index":{"GoDec":[0],"is":[1,28,90],"an":[2,132,142],"efficient":[3,91],"low-rank":[4,32,60,82,137,152],"matrix":[5,27,139,153],"decomposition":[6,61,83],"algorithm.":[7],"However,":[8],"optimal":[9],"performance":[10,186],"depends":[11],"on":[12,65,108,187],"sparse":[13],"errors":[14],"and":[15,34,58,68,92,106,111,125,140,157,167,178,193],"Gaussian":[16,98],"noise.":[17],"This":[18],"paper":[19],"aims":[20],"to":[21,46,76,94,119],"address":[22],"the":[23,48,77,136,173,184,188,194],"problem":[24],"that":[25,88,172],"a":[26,31,39,55,74],"composed":[29],"of":[30,198],"component":[33],"unknown":[35],"corruptions.":[36],"We":[37,115],"introduce":[38,141],"robust":[40,57,93],"local":[41],"similarity":[42],"measure":[43],"called":[44],"correntropy":[45,79],"describe":[47],"corruptions":[49,96],"and,":[50],"in":[51],"doing":[52],"so,":[53],"obtain":[54],"more":[56,120],"faster":[59],"algorithm:":[62],"GoDec+.":[63],"Based":[64],"half-quadratic":[66],"optimization":[67],"greedy":[69],"bilateral":[70],"paradigm,":[71],"we":[72,130,148,182],"deliver":[73],"solution":[75],"maximum":[78],"criterion":[80],"(MCC)-based":[81],"problem.":[84],"Experimental":[85],"results":[86],"show":[87,171],"GoDec+":[89,118,138,150],"different":[95],"including":[97,123],"noise,":[99,101,105],"Laplacian":[100],"salt":[102],"&":[103],"pepper":[104],"occlusion":[107],"both":[109],"synthetic":[110],"real":[112],"vision":[113],"data.":[114],"further":[116],"apply":[117],"general":[121],"applications":[122],"classification":[124],"subspace":[126,134,146,203],"clustering.":[127,162,204],"For":[128,145],"classification,":[129],"construct":[131],"ensemble":[133],"from":[135],"MCC-based":[143,155],"classifier.":[144],"clustering,":[147],"utilize":[149],"values":[151],"for":[154,202],"self-expression":[156],"combine":[158],"it":[159],"with":[160],"spectral":[161],"Face":[163],"recognition,":[164],"motion":[165],"segmentation,":[166],"face":[168],"clustering":[169],"experiments":[170],"proposed":[174],"methods":[175],"are":[176],"effective":[177],"robust.":[179],"In":[180],"particular,":[181],"achieve":[183],"state-of-the-art":[185],"Hopkins":[189],"155":[190],"data":[191],"set":[192],"first":[195],"10":[196],"subjects":[197],"extended":[199],"Yale":[200],"B":[201]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
