{"id":"https://openalex.org/W3012988010","doi":"https://doi.org/10.1109/tifs.2020.2983254","title":"Deep Domain Adaptation With Differential Privacy","display_name":"Deep Domain Adaptation With Differential Privacy","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012988010","doi":"https://doi.org/10.1109/tifs.2020.2983254","mag":"3012988010"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2020.2983254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.2983254","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5100391116","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-8967-8525"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","State Key Laboratory of Cryptography, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8967-8525","affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Cryptography, Beijing, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031545625","display_name":"Zixi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixi Li","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","State Key Laboratory of Cryptography, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Cryptography, Beijing, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070093927","display_name":"Qin Zou","orcid":"https://orcid.org/0000-0001-7955-0782"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zou","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7955-0782","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030015523","display_name":"Lingchen Zhao","orcid":"https://orcid.org/0000-0002-1700-3836"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingchen Zhao","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","State Key Laboratory of Cryptography, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Cryptography, Beijing, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, USA"],"raw_orcid":"https://orcid.org/0000-0003-4152-5295","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.086,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.8959416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"3093","last_page":"3106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9905999898910522,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9905999898910522,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.989799976348877,"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":0.8604146242141724},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.823515772819519},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6928008794784546},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.647997260093689},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6385183930397034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6220093965530396},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6198468208312988},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6153804063796997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49216407537460327},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4886970818042755},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48473474383354187},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4813304841518402},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44146043062210083},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43338561058044434},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4200056791305542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32174673676490784},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17106753587722778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604146242141724},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.823515772819519},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6928008794784546},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.647997260093689},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6385183930397034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6220093965530396},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6198468208312988},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6153804063796997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49216407537460327},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4886970818042755},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48473474383354187},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4813304841518402},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44146043062210083},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43338561058044434},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4200056791305542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32174673676490784},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17106753587722778},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2020.2983254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.2983254","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1612684229","display_name":null,"funder_award_id":"2018CFB482","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G171606249","display_name":null,"funder_award_id":"U1803264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3035364503","display_name":null,"funder_award_id":"2042019kf0210","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4387305886","display_name":null,"funder_award_id":"61872277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5028231298","display_name":null,"funder_award_id":"61672376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G546264426","display_name":null,"funder_award_id":"U1636219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7711705859","display_name":null,"funder_award_id":"61822207","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1565327149","https://openalex.org/W1677182931","https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1849277567","https://openalex.org/W1873763122","https://openalex.org/W1882958252","https://openalex.org/W1904365287","https://openalex.org/W1932469787","https://openalex.org/W2026653933","https://openalex.org/W2027595342","https://openalex.org/W2040228409","https://openalex.org/W2051267297","https://openalex.org/W2088338354","https://openalex.org/W2091825929","https://openalex.org/W2095272373","https://openalex.org/W2096873754","https://openalex.org/W2099471712","https://openalex.org/W2115403315","https://openalex.org/W2143612262","https://openalex.org/W2149466042","https://openalex.org/W2149933564","https://openalex.org/W2155541015","https://openalex.org/W2158108973","https://openalex.org/W2159291411","https://openalex.org/W2163605009","https://openalex.org/W2164943005","https://openalex.org/W2312004824","https://openalex.org/W2473418344","https://openalex.org/W2478454054","https://openalex.org/W2517028219","https://openalex.org/W2520436654","https://openalex.org/W2535690855","https://openalex.org/W2548928501","https://openalex.org/W2560552919","https://openalex.org/W2584009249","https://openalex.org/W2594311007","https://openalex.org/W2743768589","https://openalex.org/W2757251151","https://openalex.org/W2757528734","https://openalex.org/W2795155917","https://openalex.org/W2798657499","https://openalex.org/W2800222246","https://openalex.org/W2811444512","https://openalex.org/W2899242765","https://openalex.org/W2913413968","https://openalex.org/W2914484425","https://openalex.org/W2949821452","https://openalex.org/W2950602864","https://openalex.org/W2963699739","https://openalex.org/W2963756240","https://openalex.org/W2963784072","https://openalex.org/W2963826681","https://openalex.org/W2964288524","https://openalex.org/W2966218308","https://openalex.org/W2970055833","https://openalex.org/W2971544778","https://openalex.org/W2998115938","https://openalex.org/W3106968132","https://openalex.org/W4205228770","https://openalex.org/W4255949318","https://openalex.org/W4294375521","https://openalex.org/W4297799122","https://openalex.org/W4299518610","https://openalex.org/W4320013936","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6639204139","https://openalex.org/W6639246211","https://openalex.org/W6639480849","https://openalex.org/W6640036494","https://openalex.org/W6674764686","https://openalex.org/W6681637710","https://openalex.org/W6682132143","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6720691552","https://openalex.org/W6721237847","https://openalex.org/W6726590716","https://openalex.org/W6728897251","https://openalex.org/W6750109254","https://openalex.org/W6750182894","https://openalex.org/W6758634210"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W3095487414","https://openalex.org/W2970987681","https://openalex.org/W2901026139","https://openalex.org/W2578444090","https://openalex.org/W2963548962","https://openalex.org/W4285236786"],"abstract_inverted_index":{"Nowadays,":[0],"it":[1],"usually":[2],"requires":[3],"a":[4,12,33,45,96,100,109,204],"massive":[5],"amount":[6],"of":[7,56,84,156],"labeled":[8,18,42],"data":[9,19,43,170],"to":[10,31,44,53,60,118,172],"train":[11],"deep":[13,86,157],"neural":[14,87,158],"network.":[15],"When":[16],"no":[17],"is":[20],"available":[21],"in":[22,81,130,197],"some":[23],"application":[24],"scenarios,":[25],"domain":[26,47,113,120,128,199],"adaption":[27],"can":[28,161,192],"be":[29,69,76],"employed":[30],"transfer":[32],"learner":[34],"from":[35],"one":[36],"or":[37],"more":[38],"source":[39],"domains":[40],"with":[41,48,122,202],"target":[46,62,169],"unlabeled":[49,168],"data.":[50],"However,":[51],"due":[52],"the":[54,57,61,64,72,79,85,136,154,163,167,173,185],"exposure":[55],"trained":[58],"model":[59],"domain,":[63],"user":[65],"privacy":[66,102,123,149,206],"may":[67,75],"potentially":[68],"compromised.":[70],"Nevertheless,":[71],"private":[73,112,138],"information":[74],"encoded":[77],"into":[78,140],"representations":[80],"different":[82],"stages":[83],"networks,":[88,159],"i.e.,":[89],"hierarchical":[90],"convolutional":[91],"feature":[92],"maps,":[93],"which":[94],"poses":[95],"great":[97],"challenge":[98],"for":[99,166],"full-fledged":[101],"protection.":[103],"In":[104],"this":[105],"paper,":[106],"we":[107,126],"propose":[108],"novel":[110],"differentially":[111,137],"adaptation":[114,121,129,200],"framework":[115],"called":[116],"DPDA":[117,160,191],"achieve":[119,194],"assurance.":[124],"Specifically,":[125],"perform":[127],"an":[131],"adversarial-learning":[132],"manner":[133],"and":[134,143,184],"embed":[135],"design":[139],"specific":[141],"layers":[142],"learning":[144],"processes.":[145],"Although":[146],"applying":[147],"differential":[148],"techniques":[150],"directly":[151],"will":[152],"undermine":[153],"performance":[155],"increase":[162],"classification":[164],"accuracy":[165,196],"compared":[171],"prior":[174],"arts.":[175],"We":[176],"conduct":[177],"extensive":[178],"experiments":[179],"on":[180],"standard":[181],"benchmark":[182],"datasets,":[183],"results":[186],"show":[187],"that":[188],"our":[189],"proposed":[190],"indeed":[193],"high":[195],"many":[198],"tasks":[201],"only":[203],"modest":[205],"loss.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}