{"id":"https://openalex.org/W4312732602","doi":"https://doi.org/10.1109/tits.2022.3215325","title":"Privacy-Preserving Distributed Transfer Learning and Its Application in Intelligent Transportation","display_name":"Privacy-Preserving Distributed Transfer Learning and Its Application in Intelligent Transportation","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4312732602","doi":"https://doi.org/10.1109/tits.2022.3215325"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3215325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3215325","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5106667230","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0002-3980-1089"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067287220","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-3472-3699"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-3472-3699","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040791046","display_name":"Guangquan Xu","orcid":"https://orcid.org/0000-0001-8701-3944"},"institutions":[{"id":"https://openalex.org/I4210155952","display_name":"Qingdao Huanghai University","ror":"https://ror.org/05e1zbn94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangquan Xu","raw_affiliation_strings":["School of Big Data, Qingdao Huanghai University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-8701-3944","affiliations":[{"raw_affiliation_string":"School of Big Data, Qingdao Huanghai University, Qingdao, China","institution_ids":["https://openalex.org/I4210155952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045461052","display_name":"Alireza Jolfaei","orcid":"https://orcid.org/0000-0001-7818-459X"},"institutions":[{"id":"https://openalex.org/I169541294","display_name":"Flinders University","ror":"https://ror.org/01kpzv902","country_code":"AU","type":"education","lineage":["https://openalex.org/I169541294"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Jolfaei","raw_affiliation_strings":["College of Science and Engineering, Flinders University, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7818-459X","affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Flinders University, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I169541294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2572-2355","affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045817362","display_name":"Chunhua Su","orcid":"https://orcid.org/0000-0002-6461-9684"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chunhua Su","raw_affiliation_strings":["Division of Computer Science, The University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6461-9684","affiliations":[{"raw_affiliation_string":"Division of Computer Science, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681253","display_name":"Wenying Zhang","orcid":"https://orcid.org/0000-0003-4097-6238"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-4097-6238","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9185,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79151597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"3","first_page":"2253","last_page":"2269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7890939116477966},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7457693815231323},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.7225503325462341},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.7220277190208435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792918801307678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5229595303535461},{"id":"https://openalex.org/keywords/oblivious-transfer","display_name":"Oblivious transfer","score":0.5140886902809143},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5052950978279114},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49812889099121094},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.45673251152038574},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41827869415283203},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.41663694381713867},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4146858751773834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3597298264503479},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.21323585510253906},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21136054396629333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12942850589752197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890939116477966},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7457693815231323},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.7225503325462341},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.7220277190208435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792918801307678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5229595303535461},{"id":"https://openalex.org/C53076038","wikidata":"https://www.wikidata.org/wiki/Q2915383","display_name":"Oblivious transfer","level":3,"score":0.5140886902809143},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5052950978279114},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49812889099121094},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.45673251152038574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41827869415283203},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.41663694381713867},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4146858751773834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3597298264503479},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.21323585510253906},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21136054396629333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12942850589752197},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3215325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3215325","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1120317277","display_name":null,"funder_award_id":"61902276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G170587851","display_name":null,"funder_award_id":"2020CXGC010115","funder_id":"https://openalex.org/F4320329857","funder_display_name":"Major Scientific and Technological Innovation Project of Shandong Province"},{"id":"https://openalex.org/G1750873448","display_name":null,"funder_award_id":"ZR2020KF011","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2018265617","display_name":null,"funder_award_id":"2021YFSY0012","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"},{"id":"https://openalex.org/G3747183465","display_name":"\u4e91\u8ba1\u7b97\u73af\u5883\u4e0b\u9690\u79c1\u6570\u636e\u7684\u67e5\u8be2\u4e0e\u8bbf\u95ee\u63a7\u5236\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62071280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6107317301","display_name":null,"funder_award_id":"ZR2020MF056","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G765195343","display_name":null,"funder_award_id":"62172297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7653683280","display_name":null,"funder_award_id":"62272282","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320329857","display_name":"Major Scientific and Technological Innovation Project of Shandong Province","ror":null},{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W150223756","https://openalex.org/W1507697757","https://openalex.org/W1524288918","https://openalex.org/W1562810981","https://openalex.org/W1570143742","https://openalex.org/W1666126665","https://openalex.org/W1754823474","https://openalex.org/W1969009977","https://openalex.org/W1970559658","https://openalex.org/W1991410152","https://openalex.org/W1995349519","https://openalex.org/W2017258322","https://openalex.org/W2031533839","https://openalex.org/W2036453600","https://openalex.org/W2036785686","https://openalex.org/W2039559615","https://openalex.org/W2062291443","https://openalex.org/W2077537883","https://openalex.org/W2081762866","https://openalex.org/W2087748410","https://openalex.org/W2088492763","https://openalex.org/W2096943734","https://openalex.org/W2101207830","https://openalex.org/W2109426455","https://openalex.org/W2110052353","https://openalex.org/W2113751382","https://openalex.org/W2115403315","https://openalex.org/W2139505542","https://openalex.org/W2139628333","https://openalex.org/W2141983749","https://openalex.org/W2148820067","https://openalex.org/W2158108973","https://openalex.org/W2165698076","https://openalex.org/W2165991108","https://openalex.org/W2560675361","https://openalex.org/W2613331518","https://openalex.org/W2701059868","https://openalex.org/W2738952962","https://openalex.org/W2743563947","https://openalex.org/W2765200655","https://openalex.org/W2782408838","https://openalex.org/W2788134583","https://openalex.org/W2898543569","https://openalex.org/W2900598269","https://openalex.org/W2901671347","https://openalex.org/W2903890850","https://openalex.org/W2905518843","https://openalex.org/W2920633487","https://openalex.org/W2962790412","https://openalex.org/W2984644945","https://openalex.org/W3007720613","https://openalex.org/W3020895139","https://openalex.org/W3026180597","https://openalex.org/W3041133507","https://openalex.org/W3089178083","https://openalex.org/W3091050017","https://openalex.org/W3095665272","https://openalex.org/W3097961424","https://openalex.org/W3108168093","https://openalex.org/W3108672920","https://openalex.org/W3116793835","https://openalex.org/W6606067566","https://openalex.org/W6630452646","https://openalex.org/W6676215431","https://openalex.org/W6678080434","https://openalex.org/W6730235577","https://openalex.org/W6756399779","https://openalex.org/W6777571068","https://openalex.org/W6784631448"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4213299466","https://openalex.org/W4318957922","https://openalex.org/W3031818154","https://openalex.org/W2960456850","https://openalex.org/W2946016983","https://openalex.org/W4318834068","https://openalex.org/W4317565044","https://openalex.org/W4281382123","https://openalex.org/W4312732602"],"abstract_inverted_index":{"With":[0],"the":[1,22,74,91,99,103,187,213,219,225,233,236],"rapid":[2],"development":[3],"of":[4,26,76,93,190,224,235],"intelligent":[5,12,240],"transportation":[6,241],"systems":[7],"(ITS),":[8],"more":[9,11],"and":[10,29,95,102,128,158,208,222],"applications":[13],"for":[14,57,115,177,193],"ITS":[15,48],"have":[16],"received":[17],"widespread":[18],"attention,":[19],"such":[20,140],"as":[21,40],"vehicle":[23],"detection,":[24],"inference":[25],"typical":[27],"routes,":[28],"traffic":[30,55,146,178,194],"forecasting.":[31],"In":[32,200],"these":[33],"applications,":[34],"deep":[35,64],"learning":[36,67,124,138,172,192],"is":[37,68,112,175],"widely":[38],"used":[39],"a":[41,61],"key":[42],"artificial":[43],"intelligence":[44],"technology.":[45],"However,":[46],"most":[47],"providers":[49],"fail":[50,142],"to":[51,63,72,86,120,143,145,153,181],"collect":[52],"enough":[53],"labeled":[54,77,84,100],"data":[56,126,147,195],"model":[58],"training.":[59],"As":[60],"complement":[62],"learning,":[65],"transfer":[66,81,123,137,171,191],"an":[69,167],"effective":[70],"way":[71],"solve":[73],"scarcity":[75],"data,":[78],"which":[79,174],"can":[80,209],"knowledge":[82],"from":[83],"datasets":[85],"unlabeled":[87,104],"datasets,":[88],"thus":[89],"improving":[90],"accuracy":[92],"prediction":[94],"classification.":[96],"Nevertheless,":[97],"when":[98],"dataset":[101,105],"are":[106],"held":[107],"by":[108],"different":[109],"entities,":[110],"it":[111],"still":[113],"unrealistic":[114],"two":[116],"mutually":[117],"distrustful":[118],"entities":[119],"cooperate":[121],"in":[122,212,239],"regarding":[125],"security":[127,223],"privacy":[129],"preservation.":[130],"Although":[131],"some":[132],"existing":[133,182],"works":[134],"provide":[135],"privacy-preserving":[136,169,188],"methods,":[139],"methods":[141],"apply":[144],"with":[148,196],"high":[149,155,197],"sample":[150,198],"dimensions":[151],"due":[152],"their":[154],"computational":[156],"cost":[157],"round":[159],"complexity.":[160],"To":[161],"address":[162],"this":[163],"problem,":[164],"we":[165,217,231],"design":[166],"efficient":[168],"distributed":[170],"protocol,":[173],"appropriate":[176],"data.":[179],"Compared":[180],"works,":[183],"our":[184,202],"protocol":[185,203,227,238],"addresses":[186],"problem":[189],"dimensions.":[199],"addition,":[201],"has":[204],"fewer":[205],"interaction":[206],"rounds":[207],"be":[210],"proved":[211],"semi-honest":[214],"model.":[215],"Finally,":[216],"validate":[218],"effectiveness,":[220],"efficiency":[221],"proposed":[226,237],"via":[228],"experiments.":[229],"Furthermore,":[230],"show":[232],"application":[234],"systems.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
