{"id":"https://openalex.org/W2574388714","doi":"https://doi.org/10.1145/2990508","title":"Learning <i>k</i> for kNN Classification","display_name":"Learning <i>k</i> for kNN Classification","publication_year":2017,"publication_date":"2017-01-12","ids":{"openalex":"https://openalex.org/W2574388714","doi":"https://doi.org/10.1145/2990508","mag":"2574388714"},"language":"en","primary_location":{"id":"doi:10.1145/2990508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2990508","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2990508&type=pdf","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2990508&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100764178","display_name":"Shichao Zhang","orcid":"https://orcid.org/0000-0001-9981-2970"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shichao Zhang","raw_affiliation_strings":["Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740143","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0002-0019-4197"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Chinese Academy of Sciences, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835777","display_name":"Ming Zong","orcid":"https://orcid.org/0000-0001-5425-6667"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zong","raw_affiliation_strings":["Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037340898","display_name":"Xiaofeng Zhu","orcid":"https://orcid.org/0000-0001-6840-0578"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhu","raw_affiliation_strings":["Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065281913","display_name":"Debo Cheng","orcid":"https://orcid.org/0000-0002-0383-1462"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debo Cheng","raw_affiliation_strings":["Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of MIMS 8 Guangxi Normal University, Guilin, Guangxi, PR China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100764178"],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":12.6644,"has_fulltext":true,"cited_by_count":551,"citation_normalized_percentile":{"value":0.99061871,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"3","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9793000221252441,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8001792430877686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5677802562713623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.55538010597229},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.546859622001648},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4872943162918091},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4868473410606384},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4807819724082947},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.47949057817459106},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4764012396335602},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.41594359278678894},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4108012914657593},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.36906832456588745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3462345004081726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14646688103675842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001792430877686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5677802562713623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55538010597229},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.546859622001648},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4872943162918091},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4868473410606384},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4807819724082947},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.47949057817459106},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4764012396335602},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.41594359278678894},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4108012914657593},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36906832456588745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3462345004081726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14646688103675842},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2990508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2990508","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2990508&type=pdf","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/28875","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/28875","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/2990508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2990508","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2990508&type=pdf","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1583733560","display_name":null,"funder_award_id":"61573270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1809503213","display_name":null,"funder_award_id":"2013CB329404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1828425977","display_name":null,"funder_award_id":"973 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G494847515","display_name":null,"funder_award_id":"61263035, 61573270 and 61672177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5278040901","display_name":null,"funder_award_id":"2015GXNSFCB139011","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6026730504","display_name":null,"funder_award_id":"61672177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6194230105","display_name":null,"funder_award_id":"2013CB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6828124417","display_name":null,"funder_award_id":"61263035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6836976647","display_name":null,"funder_award_id":"2016YFB1000905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7594773530","display_name":null,"funder_award_id":"2013CB329404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8114646031","display_name":null,"funder_award_id":"2016Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8222406017","display_name":null,"funder_award_id":"1672177","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/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2574388714.pdf","grobid_xml":"https://content.openalex.org/works/W2574388714.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W60136762","https://openalex.org/W170361037","https://openalex.org/W1529416950","https://openalex.org/W1546168389","https://openalex.org/W1839587738","https://openalex.org/W1920944856","https://openalex.org/W1966052055","https://openalex.org/W1971356345","https://openalex.org/W1980132690","https://openalex.org/W1984704936","https://openalex.org/W1987083125","https://openalex.org/W1988176704","https://openalex.org/W1995812186","https://openalex.org/W2002370809","https://openalex.org/W2036356299","https://openalex.org/W2040263621","https://openalex.org/W2040925620","https://openalex.org/W2045240677","https://openalex.org/W2059090073","https://openalex.org/W2059484129","https://openalex.org/W2063109494","https://openalex.org/W2068453852","https://openalex.org/W2076583508","https://openalex.org/W2084260365","https://openalex.org/W2094100186","https://openalex.org/W2097092275","https://openalex.org/W2098939959","https://openalex.org/W2106053110","https://openalex.org/W2114987560","https://openalex.org/W2119883478","https://openalex.org/W2128372630","https://openalex.org/W2129578806","https://openalex.org/W2130556178","https://openalex.org/W2138181354","https://openalex.org/W2138891540","https://openalex.org/W2142827986","https://openalex.org/W2143688709","https://openalex.org/W2143913545","https://openalex.org/W2144330285","https://openalex.org/W2144475703","https://openalex.org/W2145391482","https://openalex.org/W2154872931","https://openalex.org/W2158019970","https://openalex.org/W2164585733","https://openalex.org/W2167343587","https://openalex.org/W2193513848","https://openalex.org/W2215880066","https://openalex.org/W2254674919","https://openalex.org/W2270043185","https://openalex.org/W2293827945","https://openalex.org/W2294181535","https://openalex.org/W2318493377","https://openalex.org/W2335437633","https://openalex.org/W2345850743","https://openalex.org/W2368744241","https://openalex.org/W2395445704","https://openalex.org/W4256361765"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W3119637569","https://openalex.org/W2989589450","https://openalex.org/W2405773734","https://openalex.org/W3123325766","https://openalex.org/W2791189374","https://openalex.org/W3080558755","https://openalex.org/W1529879082","https://openalex.org/W4308901127"],"abstract_inverted_index":{"The":[0],"K":[1],"Nearest":[2],"Neighbor":[3],"(kNN)":[4],"method":[5,209],"has":[6,42],"widely":[7],"been":[8,43],"used":[9],"in":[10,37,50,128,159,219],"the":[11,33,38,82,91,99,122,126,129,164,168,176,200,207],"applications":[12],"of":[13,125,196],"data":[14,31,64,68,77,106,111,127,155,191,228],"mining":[15],"and":[16,24,138,156,189,202,213,226],"machine":[17],"learning":[18],"due":[19],"to":[20,45,56,61,69,74,80,97,102,120,147,157,162,187],"its":[21],"simple":[22],"implementation":[23],"distinguished":[25],"performance.":[26],"However,":[27],"setting":[28],"all":[29,109],"test":[30,63,76,105,154],"with":[32],"same":[34],"k":[35,72,150],"value":[36],"previous":[39],"kNN":[40,85,177,217],"methods":[41,48,178,218],"proven":[44],"make":[46],"these":[47],"impractical":[49],"real":[51],"applications.":[52],"This":[53],"article":[54],"proposes":[55],"learn":[57,148],"a":[58,114],"correlation":[59],"matrix":[60],"reconstruct":[62,103],"points":[65],"by":[66,108],"training":[67,110],"assign":[70],"different":[71,75,149,153],"values":[73,151],"points,":[78],"referred":[79],"as":[81,223],"Correlation":[83],"Matrix":[84],"(CM-kNN":[86],"for":[87,152,173,198],"short)":[88],"classification.":[89],"Specifically,":[90],"least-squares":[92],"loss":[93],"function":[94],"is":[95,118],"employed":[96],"minimize":[98],"reconstruction":[100,130,169],"error":[101],"each":[104],"point":[107],"points.":[112],"Then,":[113],"graph":[115],"Laplacian":[116],"regularizer":[117,137,144],"advocated":[119],"preserve":[121],"local":[123],"structure":[124],"process.":[131],"Moreover,":[132],"an":[133,139],"\u2113":[134,140],"1":[135,142],"-norm":[136,143],"2,":[141],"are":[145,184],"applied":[146],"result":[158],"low":[160],"sparsity":[161],"remove":[163],"redundant/noisy":[165],"feature":[166],"from":[167],"process,":[170],"respectively.":[171],"Besides":[172],"classification":[174],"tasks,":[175],"(including":[179],"our":[180],"proposed":[181,208],"CM-kNN":[182],"method)":[183],"further":[185],"utilized":[186],"regression":[188],"missing":[190,227],"imputation.":[192,229],"We":[193],"conducted":[194],"sets":[195],"experiments":[197],"illustrating":[199],"efficiency,":[201],"experimental":[203],"results":[204],"showed":[205],"that":[206],"was":[210],"more":[211],"accurate":[212],"efficient":[214],"than":[215],"existing":[216],"data-mining":[220],"applications,":[221],"such":[222],"classification,":[224],"regression,":[225]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":90},{"year":2024,"cited_by_count":84},{"year":2023,"cited_by_count":80},{"year":2022,"cited_by_count":69},{"year":2021,"cited_by_count":71},{"year":2020,"cited_by_count":43},{"year":2019,"cited_by_count":43},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2017-01-26T00:00:00"}