{"id":"https://openalex.org/W4401806647","doi":"https://doi.org/10.1109/tmi.2024.3448468","title":"BCNet: Bronchus Classification via Structure Guided Representation Learning","display_name":"BCNet: Bronchus Classification via Structure Guided Representation Learning","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4401806647","doi":"https://doi.org/10.1109/tmi.2024.3448468","pmid":"https://pubmed.ncbi.nlm.nih.gov/39178085"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3448468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3448468","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5083410012","display_name":"Wenhao Huang","orcid":"https://orcid.org/0000-0002-0036-6278"},"institutions":[{"id":"https://openalex.org/I4210111607","display_name":"InferVision (China)","ror":"https://ror.org/027h3dg90","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Huang","raw_affiliation_strings":["InferVision, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InferVision, Beijing, China","institution_ids":["https://openalex.org/I4210111607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075975483","display_name":"Haifan Gong","orcid":"https://orcid.org/0000-0002-2749-6830"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifan Gong","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2749-6830","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356975","display_name":"Huan Zhang","orcid":"https://orcid.org/0000-0003-0547-9973"},"institutions":[{"id":"https://openalex.org/I4210111607","display_name":"InferVision (China)","ror":"https://ror.org/027h3dg90","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Zhang","raw_affiliation_strings":["InferVision, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InferVision, Beijing, China","institution_ids":["https://openalex.org/I4210111607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595839","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-2429-7027"},"institutions":[{"id":"https://openalex.org/I4210111607","display_name":"InferVision (China)","ror":"https://ror.org/027h3dg90","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["InferVision, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InferVision, Beijing, China","institution_ids":["https://openalex.org/I4210111607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030367905","display_name":"Xiang Wan","orcid":"https://orcid.org/0000-0002-2324-6527"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wan","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2324-6527","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042965510","display_name":"Guanbin Li","orcid":"https://orcid.org/0000-0002-4805-0926"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanbin Li","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4805-0926","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077081913","display_name":"Haofeng Li","orcid":"https://orcid.org/0000-0001-9120-9843"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofeng Li","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9120-9843","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101878398","display_name":"Hong Shen","orcid":"https://orcid.org/0000-0002-1410-7058"},"institutions":[{"id":"https://openalex.org/I4210111607","display_name":"InferVision (China)","ror":"https://ror.org/027h3dg90","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Shen","raw_affiliation_strings":["InferVision, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InferVision, Beijing, China","institution_ids":["https://openalex.org/I4210111607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3713,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8893194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"44","issue":"1","first_page":"489","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9132000207901001,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9132000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634365439414978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6171104907989502},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5897844433784485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4979872703552246},{"id":"https://openalex.org/keywords/bronchus","display_name":"Bronchus","score":0.46971482038497925},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46562546491622925},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36013317108154297},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20806625485420227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16915243864059448},{"id":"https://openalex.org/keywords/respiratory-disease","display_name":"Respiratory disease","score":0.08808454871177673},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.06844088435173035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634365439414978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6171104907989502},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5897844433784485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4979872703552246},{"id":"https://openalex.org/C2780314925","wikidata":"https://www.wikidata.org/wiki/Q181602","display_name":"Bronchus","level":4,"score":0.46971482038497925},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46562546491622925},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36013317108154297},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20806625485420227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16915243864059448},{"id":"https://openalex.org/C2776178081","wikidata":"https://www.wikidata.org/wiki/Q3286546","display_name":"Respiratory disease","level":3,"score":0.08808454871177673},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.06844088435173035},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001980","descriptor_name":"Bronchi","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001980","descriptor_name":"Bronchi","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001980","descriptor_name":"Bronchi","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001980","descriptor_name":"Bronchi","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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/tmi.2024.3448468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3448468","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:39178085","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39178085","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2986763375","display_name":null,"funder_award_id":"22lgqb25","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4751043524","display_name":null,"funder_award_id":"62322608","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6259145359","display_name":null,"funder_award_id":"2023A1515011464","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7643405260","display_name":null,"funder_award_id":"62102267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8294292842","display_name":null,"funder_award_id":"JCYJ20220818103001002","funder_id":"https://openalex.org/F4320329836","funder_display_name":"Chuzhou Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329836","display_name":"Chuzhou Science and Technology Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W196669307","https://openalex.org/W1901129140","https://openalex.org/W1986649315","https://openalex.org/W2032535554","https://openalex.org/W2045898750","https://openalex.org/W2048733914","https://openalex.org/W2119347922","https://openalex.org/W2143944689","https://openalex.org/W2524508118","https://openalex.org/W2547055581","https://openalex.org/W2753797478","https://openalex.org/W2896620274","https://openalex.org/W2933373856","https://openalex.org/W2964321699","https://openalex.org/W2979301493","https://openalex.org/W2979556878","https://openalex.org/W2979686823","https://openalex.org/W3014974815","https://openalex.org/W3035315884","https://openalex.org/W3040249551","https://openalex.org/W3090653492","https://openalex.org/W3091943745","https://openalex.org/W3132106430","https://openalex.org/W3163015687","https://openalex.org/W3165252795","https://openalex.org/W3165670649","https://openalex.org/W3190742591","https://openalex.org/W3200046546","https://openalex.org/W3200756622","https://openalex.org/W3201740726","https://openalex.org/W3206541324","https://openalex.org/W4234625726","https://openalex.org/W4294690685","https://openalex.org/W4297382430","https://openalex.org/W4301142108","https://openalex.org/W4307355928","https://openalex.org/W4312084891","https://openalex.org/W4363650721","https://openalex.org/W4377142661","https://openalex.org/W4382371060","https://openalex.org/W4386575214","https://openalex.org/W4386858101","https://openalex.org/W4386979563","https://openalex.org/W4390945726","https://openalex.org/W4392553889","https://openalex.org/W4393159246","https://openalex.org/W4394744747","https://openalex.org/W4402981126","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6754929296","https://openalex.org/W6771932116","https://openalex.org/W6782909102","https://openalex.org/W6882119317"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2385194523","https://openalex.org/W2384613568","https://openalex.org/W4296996132","https://openalex.org/W2364288413","https://openalex.org/W2316656579","https://openalex.org/W2418099587","https://openalex.org/W2795079307","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"CT-based":[0],"bronchial":[1,20,161],"tree":[2],"analysis":[3,151],"is":[4,100,165],"a":[5,27,45,66,76],"key":[6],"step":[7],"for":[8,72,81,94,108,138],"the":[9,17,30,40,50,59,105,109,114,129],"diagnosis":[10],"of":[11,19,148,156],"lung":[12],"and":[13,75,159],"airway":[14],"diseases.":[15],"However,":[16],"topology":[18],"trees":[21],"varies":[22],"across":[23],"individuals,":[24],"which":[25],"presents":[26],"challenge":[28],"to":[29,57,90,102],"automatic":[31],"bronchus":[32,149],"classification.":[33],"To":[34],"solve":[35],"this":[36],"issue,":[37],"we":[38,142],"propose":[39],"Bronchus":[41],"Classification":[42],"Network":[43,70,79],"(BCNet),":[44],"structure-guided":[46],"framework":[47],"that":[48,125],"exploits":[49],"segment-level":[51],"topological":[52],"information":[53],"using":[54],"point":[55],"clouds":[56],"learn":[58,91],"voxel-level":[60],"features.":[61],"BCNet":[62,112,126],"has":[63],"two":[64,85],"branches,":[65],"Point-Voxel":[67],"Graph":[68],"Neural":[69,78],"(PV-GNN)":[71],"segment":[73],"classification,":[74],"Convolutional":[77],"(CNN)":[80],"voxel":[82],"labeling.":[83],"The":[84,163],"branches":[86],"are":[87],"simultaneously":[88],"trained":[89],"topology-aware":[92],"features":[93],"their":[95],"shared":[96],"backbone":[97],"while":[98],"it":[99],"feasible":[101],"run":[103],"only":[104],"CNN":[106,120],"branch":[107],"inference.":[110],"Therefore,":[111],"maintains":[113],"same":[115],"inference":[116],"efficiency":[117],"as":[118],"its":[119],"baseline.":[121],"Experimental":[122],"results":[123],"show":[124],"significantly":[127],"exceeds":[128],"state-of-the-art":[130],"methods":[131],"by":[132],"over":[133],"8.0%":[134],"both":[135,157],"on":[136],"F1-score":[137],"classifying":[139],"bronchus.":[140],"Furthermore,":[141],"contribute":[143],"BronAtlas:":[144],"an":[145],"open-access":[146],"benchmark":[147,164],"imaging":[150],"with":[152],"high-quality":[153],"voxel-wise":[154],"annotations":[155],"anatomical":[158],"abnormal":[160],"segments.":[162],"available":[166],"at":[167],"https://osf.io/pskr9/?viewonly=94fa3d87274b4095ac9a4b88cc9a1341.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
