{"id":"https://openalex.org/W2469003029","doi":"https://doi.org/10.1109/tnnls.2015.2475750","title":"RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners","display_name":"RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners","publication_year":2015,"publication_date":"2015-09-23","ids":{"openalex":"https://openalex.org/W2469003029","doi":"https://doi.org/10.1109/tnnls.2015.2475750","mag":"2469003029","pmid":"https://pubmed.ncbi.nlm.nih.gov/26415187"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2015.2475750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2475750","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/A5007404362","display_name":"Qiguang Miao","orcid":"https://orcid.org/0000-0002-2872-388X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiguang Miao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101444118","display_name":"Ying Cao","orcid":"https://orcid.org/0000-0003-2454-9092"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Cao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112078381","display_name":"Ge Xia","orcid":"https://orcid.org/0000-0001-7536-0826"},"institutions":[{"id":"https://openalex.org/I184759092","display_name":"Lafayette College","ror":"https://ror.org/036n0x007","country_code":"US","type":"education","lineage":["https://openalex.org/I184759092"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ge Xia","raw_affiliation_strings":["Lafayette College, Easton, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lafayette College, Easton, PA, USA","institution_ids":["https://openalex.org/I184759092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737835","display_name":"Jiachen Liu","orcid":"https://orcid.org/0000-0003-2317-1956"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057494448","display_name":"Jianfeng Song","orcid":"https://orcid.org/0000-0002-7641-2170"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Song","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.8004,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.98790591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"27","issue":"11","first_page":"2216","last_page":"2228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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":0.996399998664856,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9932000041007996,"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/boosting","display_name":"Boosting (machine learning)","score":0.8204911947250366},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8001996278762817},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7973109483718872},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6516287326812744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490926146507263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5834087133407593},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5815486311912537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5422987937927246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5076152086257935},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46618789434432983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4404970109462738},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4264522194862366},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.28263431787490845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1549917757511139}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8204911947250366},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8001996278762817},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7973109483718872},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6516287326812744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490926146507263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834087133407593},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5815486311912537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5422987937927246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5076152086257935},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46618789434432983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4404970109462738},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4264522194862366},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.28263431787490845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1549917757511139},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2015.2475750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2475750","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:26415187","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26415187","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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2933316820","display_name":"\u673a\u8f7dLidar\u70b9\u4e91\u4e0e\u822a\u7a7a\u5f71\u50cf\u7684\u667a\u80fd\u4e09\u7ef4\u878d\u5408\u6280\u672f\u7814\u7a76","funder_award_id":"61272280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5000516249","display_name":null,"funder_award_id":"61422209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G660314133","display_name":null,"funder_award_id":"U1404620","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8214882295","display_name":"\u5f69\u8272\u5730\u5f62\u56fe\u4e2d\u5730\u7406\u8981\u7d20\u63d0\u53d6\u4e0e\u8bc6\u522b\u6280\u672f\u7814\u7a76","funder_award_id":"61472302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8598866691","display_name":null,"funder_award_id":"NCET-12-0919","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W180717754","https://openalex.org/W243098483","https://openalex.org/W1537489869","https://openalex.org/W1594451427","https://openalex.org/W1604374636","https://openalex.org/W1605688901","https://openalex.org/W1661786820","https://openalex.org/W1662713651","https://openalex.org/W1666942233","https://openalex.org/W1926592634","https://openalex.org/W1974656106","https://openalex.org/W1982032418","https://openalex.org/W1983489915","https://openalex.org/W1991849741","https://openalex.org/W1997731668","https://openalex.org/W2004158585","https://openalex.org/W2022465039","https://openalex.org/W2023163512","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2039958503","https://openalex.org/W2041447205","https://openalex.org/W2049963988","https://openalex.org/W2052448032","https://openalex.org/W2093717447","https://openalex.org/W2108897205","https://openalex.org/W2109687783","https://openalex.org/W2128808713","https://openalex.org/W2129606454","https://openalex.org/W2134829400","https://openalex.org/W2135125546","https://openalex.org/W2136688338","https://openalex.org/W2142248489","https://openalex.org/W2167460663","https://openalex.org/W2168118654","https://openalex.org/W2170413589","https://openalex.org/W2610690067","https://openalex.org/W2799148064","https://openalex.org/W3004732066","https://openalex.org/W3100570787","https://openalex.org/W4230664867","https://openalex.org/W4243803532","https://openalex.org/W4244952642","https://openalex.org/W4285719527","https://openalex.org/W4297944103","https://openalex.org/W6607397148","https://openalex.org/W6632160797","https://openalex.org/W6637232609","https://openalex.org/W6637299801","https://openalex.org/W6675256168","https://openalex.org/W6679177683"],"related_works":["https://openalex.org/W2393964553","https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"AdaBoost":[0,23,40,55],"has":[1],"attracted":[2],"much":[3],"attention":[4],"in":[5,15,31,45],"the":[6,28,36,51,58,67,93,108,112,115,133,140,145,161,169,172,176,185,190,203,212],"machine":[7],"learning":[8],"community":[9],"because":[10],"of":[11,39,54,107,171],"its":[12],"excellent":[13],"performance":[14],"combining":[16],"weak":[17],"classifiers":[18],"into":[19],"strong":[20],"classifiers.":[21],"However,":[22],"tends":[24],"to":[25,27,50,66,83,92,114,120,159,168,175],"overfit":[26],"noisy":[29,52,94,177,217],"data":[30,53,95,188,192,199,214],"many":[32,46],"applications.":[33,47],"Accordingly,":[34],"improving":[35],"antinoise":[37],"ability":[38],"plays":[41],"an":[42,121],"important":[43],"role":[44],"The":[48],"sensitiveness":[49],"stems":[56],"from":[57],"exponential":[59],"loss":[60,105,146],"function,":[61,147],"which":[62,88],"puts":[63],"unrestricted":[64],"penalties":[65,113],"misclassified":[68,116,138],"samples":[69,117,134],"with":[70,97],"very":[71],"large":[72],"margins.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"two":[79,165],"boosting":[80,150],"algorithms,":[81],"referred":[82],"as":[84],"RBoost1":[85,99,126,152,205],"and":[86,100,127,153,179,194,206],"RBoost2,":[87],"are":[89,118,136],"more":[90],"robust":[91],"compared":[96],"AdaBoost.":[98],"RBoost2":[101,128,154,207],"optimize":[102],"a":[103,195],"nonconvex":[104],"function":[106],"classification":[109],"margin.":[110],"Because":[111],"restricted":[119],"amount":[122],"less":[123],"than":[124],"one,":[125],"do":[129],"not":[130],"overfocus":[131],"on":[132,184],"that":[135,202],"always":[137],"by":[139],"previous":[141],"base":[142,162],"learners.":[143,163],"Besides":[144],"at":[148],"each":[149],"iteration,":[151],"use":[155],"numerically":[156],"stable":[157],"ways":[158],"compute":[160],"These":[164],"improvements":[166],"contribute":[167],"robustness":[170],"proposed":[173,204],"algorithms":[174,208],"training":[178,213],"testing":[180],"samples.":[181],"Experimental":[182],"results":[183],"synthetic":[186],"Gaussian":[187],"set,":[189],"UCI":[191],"sets,":[193],"real":[196],"malware":[197],"behavior":[198],"set":[200],"illustrate":[201],"perform":[209],"better":[210],"when":[211],"sets":[215],"contain":[216],"data.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":13}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
