{"id":"https://openalex.org/W2901866350","doi":"https://doi.org/10.1109/tkde.2018.2882404","title":"Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression","display_name":"Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression","publication_year":2018,"publication_date":"2018-11-20","ids":{"openalex":"https://openalex.org/W2901866350","doi":"https://doi.org/10.1109/tkde.2018.2882404","mag":"2901866350"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2018.2882404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2882404","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, the National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, the National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000598507","display_name":"Jun Gao","orcid":"https://orcid.org/0000-0001-5271-5663"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, the National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, the National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109346446","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5888-6735"},"institutions":[{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, the National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, the National Laboratory of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000753987","display_name":"Ou Wu","orcid":null},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Ou Wu","raw_affiliation_strings":["Center for Applied Mathematics, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663187","display_name":"Junping Du","orcid":"https://orcid.org/0000-0001-8590-3767"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Du","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078239319","display_name":"Stephen J. Maybank","orcid":"https://orcid.org/0000-0003-2113-9119"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Maybank","raw_affiliation_strings":["Department of Computer Science and Information Systems, Birkbeck College, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, Birkbeck College, London, UK","institution_ids":["https://openalex.org/I98259816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114549594"],"corresponding_institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":3.3806,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.93990094,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":"2","first_page":"218","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7867366075515747},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7678005695343018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.685961127281189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6801095604896545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6132078170776367},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5845354795455933},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5842424631118774},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5333974361419678},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5282384753227234},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5140737295150757},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4566340744495392},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4332352578639984},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.43314558267593384},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3328622877597809},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3182016611099243},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21916496753692627},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16897571086883545},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0862291157245636}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7867366075515747},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7678005695343018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685961127281189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6801095604896545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6132078170776367},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5845354795455933},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5842424631118774},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5333974361419678},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5282384753227234},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5140737295150757},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4566340744495392},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4332352578639984},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.43314558267593384},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3328622877597809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3182016611099243},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21916496753692627},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16897571086883545},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0862291157245636},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2018.2882404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2882404","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:25154","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400466","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[{"id":"https://openalex.org/G1137513755","display_name":null,"funder_award_id":"L172051","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4133560561","display_name":null,"funder_award_id":"61532006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6431871145","display_name":null,"funder_award_id":"61721004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7950449669","display_name":null,"funder_award_id":"61751212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8506666834","display_name":null,"funder_award_id":"61772083","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W46508367","https://openalex.org/W126266486","https://openalex.org/W560804666","https://openalex.org/W822069289","https://openalex.org/W1543388142","https://openalex.org/W1579435408","https://openalex.org/W1584412742","https://openalex.org/W1673021977","https://openalex.org/W1673310716","https://openalex.org/W1934019294","https://openalex.org/W1971713783","https://openalex.org/W1981228217","https://openalex.org/W1988790447","https://openalex.org/W1991357106","https://openalex.org/W1998854362","https://openalex.org/W1999994948","https://openalex.org/W2002574940","https://openalex.org/W2016070752","https://openalex.org/W2019014808","https://openalex.org/W2034436892","https://openalex.org/W2037954058","https://openalex.org/W2042790056","https://openalex.org/W2049058890","https://openalex.org/W2050439513","https://openalex.org/W2052046927","https://openalex.org/W2056081083","https://openalex.org/W2061087508","https://openalex.org/W2061240327","https://openalex.org/W2069645876","https://openalex.org/W2070983531","https://openalex.org/W2075949491","https://openalex.org/W2100470808","https://openalex.org/W2106837342","https://openalex.org/W2110784166","https://openalex.org/W2123256336","https://openalex.org/W2128272608","https://openalex.org/W2129249398","https://openalex.org/W2129905273","https://openalex.org/W2132417028","https://openalex.org/W2134070140","https://openalex.org/W2134255060","https://openalex.org/W2135957164","https://openalex.org/W2140839819","https://openalex.org/W2141270971","https://openalex.org/W2141348467","https://openalex.org/W2144182447","https://openalex.org/W2144809814","https://openalex.org/W2145508099","https://openalex.org/W2146103513","https://openalex.org/W2148123869","https://openalex.org/W2149105075","https://openalex.org/W2161185676","https://openalex.org/W2162150749","https://openalex.org/W2165558283","https://openalex.org/W2167225252","https://openalex.org/W2167910929","https://openalex.org/W2245094396","https://openalex.org/W2296719434","https://openalex.org/W2406935090","https://openalex.org/W2482374127","https://openalex.org/W2498631646","https://openalex.org/W2500517591","https://openalex.org/W2532189199","https://openalex.org/W2536253352","https://openalex.org/W2547434147","https://openalex.org/W2782831043","https://openalex.org/W2912934387","https://openalex.org/W2962752671","https://openalex.org/W4212883601","https://openalex.org/W4248721357","https://openalex.org/W4254182148","https://openalex.org/W6601913078","https://openalex.org/W6615625289","https://openalex.org/W6632547301","https://openalex.org/W6637131181","https://openalex.org/W6640267182","https://openalex.org/W6651042577","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W3212687977","https://openalex.org/W3123419490","https://openalex.org/W4241010850","https://openalex.org/W2144201579","https://openalex.org/W2355371556","https://openalex.org/W2887481058","https://openalex.org/W2545560175","https://openalex.org/W2039664503","https://openalex.org/W2403090514","https://openalex.org/W1834385407"],"abstract_inverted_index":{"Current":[0],"local":[1,11,52,75],"density-based":[2],"anomaly":[3,93,101,156,163],"detection":[4,30,102,107,157,164,172,182],"methods":[5,158],"are":[6,19],"limited":[7],"in":[8,67,112,123,133],"that":[9,154],"the":[10,15,29,34,38,63,68,87,117,124,134,137],"density":[12,17,59,121],"estimation":[13,18,60,122],"and":[14,25,28,54,79,128],"neighborhood":[16,58,69],"not":[20],"accurate":[21],"enough":[22],"for":[23,83],"complex":[24],"large":[26],"databases,":[27],"performance":[31],"depends":[32],"on":[33,149],"size":[35],"parameter":[36],"of":[37,95,139,168],"neighborhood.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44,55,73],"a":[45,56,74,80],"new":[46],"kernel":[47,76],"function":[48],"to":[49,61,65,91,104,116,143],"estimate":[50],"samples'":[51],"densities":[53],"weighted":[57],"increase":[62],"robustness":[64],"changes":[66],"size.":[70],"We":[71,97],"further":[72],"regression":[77],"estimator":[78],"hierarchical":[81],"strategy":[82],"combining":[84],"information":[85],"from":[86],"multiple":[88],"scale":[89],"neighborhoods":[90],"refine":[92],"factors":[94],"samples.":[96],"apply":[98],"our":[99,155,169],"general":[100],"method":[103,173],"image":[105,135,170],"saliency":[106,130,141,171,181],"by":[108,176],"regarding":[109],"salient":[110],"pixels":[111],"objects":[113],"as":[114],"anomalies":[115],"background":[118],"regions.":[119,146],"Local":[120],"visual":[125],"feature":[126],"space":[127],"kernel-based":[129],"score":[131],"propagation":[132],"enable":[136],"assignment":[138],"similar":[140],"values":[142],"homogenous":[144],"object":[145],"Experimental":[147],"results":[148],"several":[150,161,179],"benchmark":[151],"datasets":[152],"demonstrate":[153],"overall":[159],"outperform":[160],"state-of-art":[162,180],"methods.":[165,183],"The":[166],"effectiveness":[167],"is":[174],"validated":[175],"comparison":[177],"with":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}