{"id":"https://openalex.org/W3002476946","doi":"https://doi.org/10.1109/jbhi.2020.2967084","title":"Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification","display_name":"Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification","publication_year":2020,"publication_date":"2020-01-16","ids":{"openalex":"https://openalex.org/W3002476946","doi":"https://doi.org/10.1109/jbhi.2020.2967084","mag":"3002476946","pmid":"https://pubmed.ncbi.nlm.nih.gov/31976915"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2020.2967084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.2967084","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5055183002","display_name":"Bingzhi Chen","orcid":"https://orcid.org/0000-0002-2497-6214"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingzhi Chen","raw_affiliation_strings":["Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2497-6214","affiliations":[{"raw_affiliation_string":"Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753458","display_name":"Jinxing Li","orcid":"https://orcid.org/0000-0001-5156-0305"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxing Li","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5156-0305","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1578-2634","affiliations":[{"raw_affiliation_string":"Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110812831","display_name":"Hongbing Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbing Yu","raw_affiliation_strings":["Nanshan District Chronic Disease Prevention and Control Hospital, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanshan District Chronic Disease Prevention and Control Hospital, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-0034-9013"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0034-9013","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055183002"],"corresponding_institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":10.6896,"has_fulltext":false,"cited_by_count":154,"citation_normalized_percentile":{"value":0.98780508,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"8","first_page":"2292","last_page":"2302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9783999919891357,"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/computer-science","display_name":"Computer science","score":0.7056729197502136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.637552797794342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.546509861946106},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5193663239479065},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4817776381969452},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.460486501455307},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4585869014263153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3744767904281616},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1452246904373169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056729197502136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.637552797794342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.546509861946106},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5193663239479065},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4817776381969452},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.460486501455307},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4585869014263153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3744767904281616},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1452246904373169}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","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},{"descriptor_ui":"D066289","descriptor_name":"Data Curation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D066289","descriptor_name":"Data Curation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D066289","descriptor_name":"Data Curation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2020.2967084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.2967084","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:31976915","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31976915","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G333909914","display_name":null,"funder_award_id":"61906162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4538061035","display_name":null,"funder_award_id":"2019M662198","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4687219212","display_name":null,"funder_award_id":"2019TQ0316","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1499864241","https://openalex.org/W2006617902","https://openalex.org/W2016089260","https://openalex.org/W2081580037","https://openalex.org/W2102634410","https://openalex.org/W2160254296","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2334763311","https://openalex.org/W2519887557","https://openalex.org/W2580967590","https://openalex.org/W2581887665","https://openalex.org/W2611650229","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2765312638","https://openalex.org/W2770241596","https://openalex.org/W2786052267","https://openalex.org/W2803124023","https://openalex.org/W2810230071","https://openalex.org/W2885373832","https://openalex.org/W2886327376","https://openalex.org/W2897806204","https://openalex.org/W2899771611","https://openalex.org/W2901030517","https://openalex.org/W2904378456","https://openalex.org/W2905224888","https://openalex.org/W2912664121","https://openalex.org/W2932399282","https://openalex.org/W2945689170","https://openalex.org/W2962708065","https://openalex.org/W2963052338","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2963486920","https://openalex.org/W2963942157","https://openalex.org/W2963967185","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964321699","https://openalex.org/W3101156210","https://openalex.org/W4295608163","https://openalex.org/W4300485340","https://openalex.org/W6604653223","https://openalex.org/W6629930100","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6732603402","https://openalex.org/W6745119210","https://openalex.org/W6746693533","https://openalex.org/W6747758984","https://openalex.org/W6748141922","https://openalex.org/W6751554223","https://openalex.org/W6756040250","https://openalex.org/W6757374366","https://openalex.org/W6758687326"],"related_works":["https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W4205999209","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W2735080633"],"abstract_inverted_index":{"Existing":[0],"multi-label":[1,95,173],"medical":[2],"image":[3,99,117],"learning":[4,78,125],"tasks":[5],"generally":[6],"contain":[7],"rich":[8],"relationship":[9,134],"information":[10,61,155],"among":[11],"pathologies":[12,92,136,151],"such":[13,58],"as":[14,33,192],"label":[15,76,123],"co-occurrence":[16,77,124],"and":[17,29,122,152,169,183],"interdependency,":[18],"which":[19,102],"is":[20,137],"of":[21,57,66,112,142,150,190],"great":[22],"importance":[23],"for":[24,93],"assisting":[25],"in":[26],"clinical":[27],"diagnosis":[28],"can":[30,161],"be":[31,162],"represented":[32],"the":[34,46,49,64,89,94,105,108,116,130,133,147,166,181,188,195],"graph-structured":[35,60],"data.":[36,68],"However,":[37],"most":[38],"state-of-the-art":[39,196],"works":[40],"only":[41],"focus":[42],"on":[43,81,180],"regression":[44],"from":[45],"input":[47],"to":[48,53,63,86,129],"binary":[50],"labels,":[51],"failing":[52],"make":[54],"full":[55],"use":[56],"valuable":[59],"due":[62],"complexity":[65],"graph":[67,154],"In":[69],"this":[70],"paper,":[71],"we":[72,103],"propose":[73],"a":[74,140],"novel":[75],"framework":[79],"based":[80],"Graph":[82],"Convolution":[83],"Networks":[84],"(GCNs)":[85],"explicitly":[87],"explore":[88],"dependencies":[90],"between":[91,135],"chest":[96],"X-ray":[97],"(CXR)":[98],"classification":[100],"task,":[101],"term":[104],"\"CheXGCN\".":[106],"Specifically,":[107],"proposed":[109],"CheXGCN":[110,191],"consists":[111],"two":[113],"modules,":[114],"i.e.,":[115],"feature":[118],"embedding":[119,149],"(IFE)":[120],"module":[121,168],"(LCL)":[126],"module.":[127],"Thanks":[128],"LCL":[131],"model,":[132],"generalized":[138],"into":[139,165],"set":[141],"classifier":[143],"scores":[144],"by":[145],"introducing":[146],"word":[148],"multi-layer":[153],"propagation.":[156],"During":[157],"end-to-end":[158],"training,":[159],"it":[160],"flexibly":[163],"integrated":[164],"IFE":[167],"then":[170],"adaptively":[171],"recalibrate":[172],"outputs":[174],"with":[175,194],"these":[176],"scores.":[177],"Extensive":[178],"experiments":[179],"ChestX-Ray14":[182],"CheXpert":[184],"datasets":[185],"have":[186],"demonstrated":[187],"effectiveness":[189],"compared":[193],"baselines.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}