{"id":"https://openalex.org/W2167122806","doi":"https://doi.org/10.1109/tsmcb.2010.2042445","title":"Active Learning From Stream Data Using Optimal Weight Classifier Ensemble","display_name":"Active Learning From Stream Data Using Optimal Weight Classifier Ensemble","publication_year":2010,"publication_date":"2010-04-05","ids":{"openalex":"https://openalex.org/W2167122806","doi":"https://doi.org/10.1109/tsmcb.2010.2042445","mag":"2167122806","pmid":"https://pubmed.ncbi.nlm.nih.gov/20363683"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcb.2010.2042445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2010.2042445","pdf_url":null,"source":{"id":"https://openalex.org/S4210170378","display_name":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","issn_l":"1083-4419","issn":["1083-4419","1941-0492"],"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 Systems, Man, and Cybernetics, Part B (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/A5084641325","display_name":"Xingquan Zhu","orcid":"https://orcid.org/0000-0003-4129-9611"},"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/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Xingquan Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA. xqzhu@cse.fau.edu","QCIS Center, Faculty of Engineering and Information Technology, Sydney University of Technology, Sydney, NSW, Australia","Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA. xqzhu@cse.fau.edu","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"QCIS Center, Faculty of Engineering and Information Technology, Sydney University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129604602"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779162","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5267-0936"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101972030","display_name":"X. Sheldon Lin","orcid":"https://orcid.org/0009-0000-0686-5206"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Lin","raw_affiliation_strings":["Department of Management Science and Information Systems, Rutgers Business School, Rutgers, State University of New Jersey, Newark, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Rutgers Business School, Rutgers, State University of New Jersey, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":["College of Information Science and Technology, University of Nebraska Omaha, NE, USA","Fictitious Economy Data Science Research Center, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, University of Nebraska Omaha, NE, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"Fictitious Economy Data Science Research Center, Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.6943,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.9898744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"40","issue":"6","first_page":"1607","last_page":"1621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9937999844551086,"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/classifier","display_name":"Classifier (UML)","score":0.8458985686302185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205373048782349},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7141047716140747},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6884596347808838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5466821193695068},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5381371378898621},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.502474308013916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49157294631004333},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.474046915769577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4477340579032898},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.43734633922576904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3400895595550537}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8458985686302185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205373048782349},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7141047716140747},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6884596347808838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5466821193695068},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5381371378898621},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.502474308013916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49157294631004333},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.474046915769577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4477340579032898},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.43734633922576904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3400895595550537},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tsmcb.2010.2042445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2010.2042445","pdf_url":null,"source":{"id":"https://openalex.org/S4210170378","display_name":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","issn_l":"1083-4419","issn":["1083-4419","1941-0492"],"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 Systems, Man, and Cybernetics, Part B (Cybernetics)","raw_type":"journal-article"},{"id":"pmid:20363683","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20363683","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 systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.906.3169","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.906.3169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.fau.edu/%7Exqzhu/Stream/ActiveLearning/AL_Stream_TR.pdf","raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/14521","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/14521","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":[{"id":"https://metadata.un.org/sdg/16","score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W41415572","https://openalex.org/W64908097","https://openalex.org/W97587332","https://openalex.org/W1483816357","https://openalex.org/W1499706286","https://openalex.org/W1500698297","https://openalex.org/W1513874326","https://openalex.org/W1516193414","https://openalex.org/W1528361845","https://openalex.org/W1563489020","https://openalex.org/W1570448133","https://openalex.org/W1575097427","https://openalex.org/W1605688901","https://openalex.org/W1840338487","https://openalex.org/W1898031563","https://openalex.org/W1978633512","https://openalex.org/W1988520084","https://openalex.org/W1990079212","https://openalex.org/W1991751947","https://openalex.org/W2009727399","https://openalex.org/W2014296507","https://openalex.org/W2018770010","https://openalex.org/W2019778169","https://openalex.org/W2028489411","https://openalex.org/W2029896651","https://openalex.org/W2030680965","https://openalex.org/W2033854332","https://openalex.org/W2034841618","https://openalex.org/W2065221272","https://openalex.org/W2068714596","https://openalex.org/W2080021732","https://openalex.org/W2095796510","https://openalex.org/W2096846143","https://openalex.org/W2098203240","https://openalex.org/W2102734279","https://openalex.org/W2104848109","https://openalex.org/W2107858472","https://openalex.org/W2112076978","https://openalex.org/W2112841646","https://openalex.org/W2114049395","https://openalex.org/W2119821739","https://openalex.org/W2121436925","https://openalex.org/W2122558050","https://openalex.org/W2124868070","https://openalex.org/W2125055259","https://openalex.org/W2129767422","https://openalex.org/W2140785063","https://openalex.org/W2148275879","https://openalex.org/W2150691086","https://openalex.org/W2150757437","https://openalex.org/W2151023586","https://openalex.org/W2152823617","https://openalex.org/W2154339456","https://openalex.org/W2158275940","https://openalex.org/W2164813792","https://openalex.org/W2169797554","https://openalex.org/W2169816580","https://openalex.org/W2487087946","https://openalex.org/W2502655619","https://openalex.org/W2570764145","https://openalex.org/W2800363843","https://openalex.org/W2903158431","https://openalex.org/W2912934387","https://openalex.org/W2949071206","https://openalex.org/W2966207845","https://openalex.org/W2974222084","https://openalex.org/W3141481736","https://openalex.org/W3149296819","https://openalex.org/W4212883601","https://openalex.org/W4230030242","https://openalex.org/W4239510810","https://openalex.org/W4240097445","https://openalex.org/W6628964739","https://openalex.org/W6639540558","https://openalex.org/W6655195918"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2052615004","https://openalex.org/W4389449520","https://openalex.org/W127192698","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2743735673","https://openalex.org/W2794896638","https://openalex.org/W2360131081","https://openalex.org/W2985941356"],"abstract_inverted_index":{"In":[0,155],"this":[1],"paper,":[2],"we":[3,76,140,157],"propose":[4,77],"a":[5,34,42,78,92,98,110,142],"new":[6],"research":[7],"problem":[8],"on":[9,193],"active":[10,80,185],"learning":[11,81,186],"from":[12,40,87],"data":[13,16,23,39,70,88,153,189,197],"streams,":[14],"where":[15],"volumes":[17,71],"grow":[18],"continuously,":[19],"and":[20,27,72,108,175,195],"labeling":[21,150],"all":[22],"is":[24,31,44,114],"considered":[25],"expensive":[26],"impractical.":[28],"The":[29,172],"objective":[30],"to":[32,46,90,104,116,146,163,182],"label":[33,126],"small":[35],"portion":[36],"of":[37,64,122,131,134,201],"stream":[38,66],"which":[41],"model":[43],"derived":[45],"predict":[47],"future":[48],"instances":[49,86,127],"as":[50,52],"accurately":[51],"possible.":[53],"To":[54],"tackle":[55],"the":[56,61,65,129,132,135,148,165,169,176,199,202],"technical":[57],"challenges":[58],"raised":[59],"by":[60],"dynamic":[62],"nature":[63],"data,":[67],"i.e.,":[68],"increasing":[69],"evolving":[73],"decision":[74],"concepts,":[75],"classifier-ensemble-based":[79],"framework":[82,187],"that":[83,97],"selectively":[84],"labels":[85],"streams":[89],"build":[91,183],"classifier":[93,99,111,137,170],"ensemble.":[94,138,171],"We":[95],"argue":[96],"ensemble's":[100,112],"variance":[101,113,133],"directly":[102],"corresponds":[103],"its":[105,118],"error":[106],"rate,":[107],"reducing":[109],"equivalent":[115],"improving":[117],"prediction":[119],"accuracy.":[120],"Because":[121],"this,":[123],"one":[124],"should":[125],"toward":[128],"minimization":[130],"underlying":[136],"Accordingly,":[139],"introduce":[141],"minimum-variance":[143],"(MV)":[144],"principle":[145,174],"guide":[147],"instance":[149],"process":[151],"for":[152,168,188],"streams.":[154,190],"addition,":[156],"derive":[158],"an":[159,184],"optimal-weight":[160],"calculation":[161],"method":[162],"determine":[164],"weight":[166],"values":[167],"MV":[173],"optimal":[177],"weighting":[178],"module":[179],"are":[180],"combined":[181],"Experimental":[191],"results":[192],"synthetic":[194],"real-world":[196],"demonstrate":[198],"performance":[200],"proposed":[203],"work":[204],"in":[205],"comparison":[206],"with":[207],"other":[208],"approaches.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":11}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}