{"id":"https://openalex.org/W3171286951","doi":"https://doi.org/10.1155/2021/9932292","title":"A New Support Vector Machine Based on Convolution Product","display_name":"A New Support Vector Machine Based on Convolution Product","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3171286951","doi":"https://doi.org/10.1155/2021/9932292","mag":"3171286951"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9932292","doi":"https://doi.org/10.1155/2021/9932292","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9932292","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9932292.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/9932292.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012456515","display_name":"Wei\u2010Chang Yeh","orcid":"https://orcid.org/0000-0001-7393-0768","observed_orcids":["https://orcid.org/0000-0001-7393-0768"]},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Chang Yeh","raw_affiliation_strings":["Integration and Collaboration Laboratory , Department of Industrial Engineering and Engineering Management , National Tsing Hua University , Hsinchu 30013 , Taiwan","Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013"],"raw_orcid":"https://orcid.org/0000-0001-7393-0768","affiliations":[{"raw_affiliation_string":"Integration and Collaboration Laboratory , Department of Industrial Engineering and Engineering Management , National Tsing Hua University , Hsinchu 30013 , Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021222681","display_name":"Yunzhi Jiang","orcid":"https://orcid.org/0000-0001-5373-521X","observed_orcids":["https://orcid.org/0000-0001-5373-521X"]},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunzhi Jiang","raw_affiliation_strings":["School of Mathematics and Systems Science , Guangdong Polytechnic Normal University , Guangzhou 510665 , China","School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510665"],"raw_orcid":"https://orcid.org/0000-0001-5373-521X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Systems Science , Guangdong Polytechnic Normal University , Guangzhou 510665 , China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510665","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011213667","display_name":"Shi-Yi Tan","orcid":"https://orcid.org/0000-0002-6316-4729","observed_orcids":["https://orcid.org/0000-0002-6316-4729"]},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shi-Yi Tan","raw_affiliation_strings":["Integration and Collaboration Laboratory , Department of Industrial Engineering and Engineering Management , National Tsing Hua University , Hsinchu 30013 , Taiwan","Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013"],"raw_orcid":"https://orcid.org/0000-0002-6316-4729","affiliations":[{"raw_affiliation_string":"Integration and Collaboration Laboratory , Department of Industrial Engineering and Engineering Management , National Tsing Hua University , Hsinchu 30013 , Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059634320","display_name":"Chih-Yen Yeh","orcid":"https://orcid.org/0000-0002-0660-8530","observed_orcids":["https://orcid.org/0000-0002-0660-8530"]},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yen Yeh","raw_affiliation_strings":["Integration and Collaboration Laboratory , Department of Industrial Engineering and Engineering Management , National Tsing Hua University , Hsinchu 30013 , Taiwan","Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013"],"raw_orcid":"https://orcid.org/0000-0002-0660-8530","affiliations":[{"raw_affiliation_string":"Integration and Collaboration Laboratory , Department of Industrial Engineering and Engineering Management , National Tsing Hua University , Hsinchu 30013 , Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Integration and Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021222681"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":{"value":2760,"currency":"USD","value_usd":2760},"apc_paid":{"value":2760,"currency":"USD","value_usd":2760},"fwci":0.8032,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.7284778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.32030001282691956,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.32030001282691956,"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/T12676","display_name":"Machine Learning and ELM","score":0.22529999911785126,"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":0.1006999984383583,"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/support-vector-machine","display_name":"support vector machine","score":0.8519999980926514},{"id":"https://openalex.org/keywords/convolution-product","display_name":"convolution product","score":0.9829999804496765},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7990000247955322},{"id":"https://openalex.org/keywords/small-datasets","display_name":"small datasets","score":0.6579999923706055},{"id":"https://openalex.org/keywords/simplified-swarm-optimization","display_name":"simplified swarm optimization","score":0.8149999976158142},{"id":"https://openalex.org/keywords/classifier-updating","display_name":"classifier updating","score":0.46299999952316284},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.7279999852180481}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.678593635559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598577499389648},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6222618818283081},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6079261898994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38748592138290405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3305765390396118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2346896529197693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0718628466129303},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.04528185725212097}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1155/2021/9932292","doi":"https://doi.org/10.1155/2021/9932292","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9932292","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9932292.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2002.07221","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.07221","pdf_url":"https://arxiv.org/pdf/2002.07221","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:RePEc:hin:complx:9932292","doi":null,"is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/9932292.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:1700f66464e14e3cacec6dce0988c8ed","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/1700f66464e14e3cacec6dce0988c8ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2002.07221","doi":"https://doi.org/10.48550/arxiv.2002.07221","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.07221","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1155/2021/9932292","doi":"https://doi.org/10.1155/2021/9932292","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9932292","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9932292.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1153275272","display_name":null,"funder_award_id":"MOST 102-2221-E-007-086-MY3","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2447528992","display_name":null,"funder_award_id":"MOST 104-2221-E-007-061-MY3","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3351042814","display_name":null,"funder_award_id":"MOST 104-2221-E-007-061-MY3","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G4590668150","display_name":null,"funder_award_id":"MOST 102-2221-E-007-086-MY3","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G4804554798","display_name":"Reliability Problems for the Novel Multi-configuration Multi-state Network","funder_award_id":"MOST102-2221-E007-086-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G52474299","display_name":"Propose Novel Path-Based Fundamental Algorithms and Discuss Frontier Network Reliability Models","funder_award_id":"MOST104-2221-E007-061-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6784561508","display_name":null,"funder_award_id":"61702118","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/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171286951.pdf","grobid_xml":"https://content.openalex.org/works/W3171286951.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1488556991","https://openalex.org/W1505419431","https://openalex.org/W1710476689","https://openalex.org/W1815611020","https://openalex.org/W1980081495","https://openalex.org/W1993080850","https://openalex.org/W1995562189","https://openalex.org/W2002924018","https://openalex.org/W2021451086","https://openalex.org/W2039039627","https://openalex.org/W2045875044","https://openalex.org/W2076063813","https://openalex.org/W2077820589","https://openalex.org/W2087347434","https://openalex.org/W2091012673","https://openalex.org/W2096335861","https://openalex.org/W2143470612","https://openalex.org/W2147667726","https://openalex.org/W2148497858","https://openalex.org/W2161108110","https://openalex.org/W2213523051","https://openalex.org/W2280615701","https://openalex.org/W2324940279","https://openalex.org/W2337945445","https://openalex.org/W2517363309","https://openalex.org/W2605401719","https://openalex.org/W2615436354","https://openalex.org/W2746721413","https://openalex.org/W2747485148","https://openalex.org/W2770495564","https://openalex.org/W2794372970","https://openalex.org/W2796394805","https://openalex.org/W2897335315","https://openalex.org/W2906559318","https://openalex.org/W2919115771","https://openalex.org/W2953308748","https://openalex.org/W2969414999","https://openalex.org/W2998192574","https://openalex.org/W4235859934","https://openalex.org/W4246918423","https://openalex.org/W4316506450"],"related_works":["https://openalex.org/W3006256056","https://openalex.org/W2909490914","https://openalex.org/W4300841382","https://openalex.org/W2093778562","https://openalex.org/W4309457402","https://openalex.org/W4214648642","https://openalex.org/W2978815341","https://openalex.org/W4402980282","https://openalex.org/W4401858516","https://openalex.org/W2372774243"],"abstract_inverted_index":{"The":[0,69,159],"support":[1],"vector":[2],"machine":[3],"(SVM)":[4],"and":[5,21,33,57,63,105,156],"deep":[6],"learning":[7],"(e.g.,":[8],"convolutional":[9,47],"neural":[10],"networks":[11],"(CNNs))":[12],"are":[13],"the":[14,52,61,73,85,100,107,113,116,120,124,127,140,166,170],"two":[15],"most":[16],"famous":[17],"algorithms":[18],"in":[19,38,84],"small":[20],"big":[22],"data,":[23],"respectively.":[24],"Nonetheless,":[25],"smaller":[26,67],"datasets":[27],"may":[28],"be":[29],"very":[30],"important,":[31],"costly,":[32],"not":[34],"easy":[35],"to":[36,59,78,97,102,118,133],"obtain":[37],"a":[39,45,91],"short":[40],"time.":[41],"This":[42],"paper":[43],"proposes":[44],"novel":[46],"SVM":[48,58,109],"(CSVM)":[49],"that":[50,165],"has":[51],"advantages":[53],"of":[54,65,126,161],"both":[55],"CNN":[56,77],"improve":[60],"accuracy":[62],"effectiveness":[64],"mining":[66],"datasets.":[68,86],"proposed":[70,128,167,171],"CSVM":[71,101,168],"adapts":[72],"convolution":[74],"product":[75],"from":[76],"learn":[79],"new":[80],"information":[81],"hidden":[82],"deeply":[83],"In":[87],"addition,":[88],"it":[89],"uses":[90],"modified":[92],"simplified":[93],"swarm":[94],"optimization":[95],"(SSO)":[96],"help":[98],"train":[99],"update":[103],"classifiers,":[104],"then":[106],"traditional":[108],"is":[110],"implemented":[111],"as":[112],"fitness":[114],"for":[115,139],"SSO":[117,172],"estimate":[119],"accuracy.":[121,177],"To":[122],"evaluate":[123],"performance":[125],"CSVM,":[129],"experiments":[130,144,163],"were":[131],"conducted":[132],"test":[134],"five":[135],"well\u2010known":[136],"benchmark":[137],"databases":[138],"classification":[141,176],"problem.":[142],"Numerical":[143],"compared":[145],"favorably":[146],"with":[147,169],"those":[148],"obtained":[149],"using":[150],"SVM,":[151],"3\u2010layer":[152],"artificial":[153],"NN":[154],"(ANN),":[155],"4\u2010layer":[157],"ANN.":[158],"results":[160],"these":[162],"verify":[164],"can":[173],"effectively":[174],"increase":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-06-22T00:00:00"}