{"id":"https://openalex.org/W2593584390","doi":"https://doi.org/10.3390/s17030550","title":"Road Traf\ufb01c Anomaly Detection via Collaborative Path Inference from GPS Snippets","display_name":"Road Traf\ufb01c Anomaly Detection via Collaborative Path Inference from GPS Snippets","publication_year":2017,"publication_date":"2017-03-09","ids":{"openalex":"https://openalex.org/W2593584390","doi":"https://doi.org/10.3390/s17030550","mag":"2593584390","pmid":"https://pubmed.ncbi.nlm.nih.gov/28282948"},"language":"en","primary_location":{"id":"doi:10.3390/s17030550","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17030550","pdf_url":"https://www.mdpi.com/1424-8220/17/3/550/pdf?version=1489146459","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/3/550/pdf?version=1489146459","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045071292","display_name":"Hongtao Wang","orcid":"https://orcid.org/0000-0002-8066-475X"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"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":"Hongtao Wang","raw_affiliation_strings":["Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079575403","display_name":"Hui Wen","orcid":"https://orcid.org/0000-0003-0854-4152"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wen","raw_affiliation_strings":["Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101716126","display_name":"Yi Feng","orcid":"https://orcid.org/0000-0002-3253-5232"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"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":"Feng Yi","raw_affiliation_strings":["Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","institution_ids":["https://openalex.org/I4210156404"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087012171","display_name":"Hongsong Zhu","orcid":"https://orcid.org/0000-0003-3720-7403"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongsong Zhu","raw_affiliation_strings":["Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061643975","display_name":"Limin Sun","orcid":"https://orcid.org/0000-0003-2745-7521"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Sun","raw_affiliation_strings":["Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, CAS, Beijing 100093, China","institution_ids":["https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087012171"],"corresponding_institution_ids":["https://openalex.org/I4210156404"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.9463,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89919649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"3","first_page":"550","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.8048223853111267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113588452339172},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6592931151390076},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6368808746337891},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5977416038513184},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.571820080280304},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5030054450035095},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.49985623359680176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4840892553329468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24299120903015137},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1467643678188324},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11746084690093994},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06990474462509155}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.8048223853111267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113588452339172},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6592931151390076},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6368808746337891},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5977416038513184},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.571820080280304},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5030054450035095},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.49985623359680176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4840892553329468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24299120903015137},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1467643678188324},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11746084690093994},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06990474462509155},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s17030550","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17030550","pdf_url":"https://www.mdpi.com/1424-8220/17/3/550/pdf?version=1489146459","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:28282948","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28282948","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:581ee1e4d7b64d0aa53d26215ebf2015","is_oa":true,"landing_page_url":"https://doaj.org/article/581ee1e4d7b64d0aa53d26215ebf2015","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 17, Iss 3, p 550 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/3/550/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17030550","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 3; Pages: 550","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5375836","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5375836","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s17030550","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17030550","pdf_url":"https://www.mdpi.com/1424-8220/17/3/550/pdf?version=1489146459","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G489891917","display_name":"\u7269\u8054\u7f51\u4f4d\u7f6e\u9690\u79c1\u4fdd\u62a4\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61472418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8936126180","display_name":null,"funder_award_id":"XDA06040101","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593584390.pdf","grobid_xml":"https://content.openalex.org/works/W2593584390.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1501529425","https://openalex.org/W1514900972","https://openalex.org/W1544411027","https://openalex.org/W1985023906","https://openalex.org/W1999110238","https://openalex.org/W1999432478","https://openalex.org/W2014211872","https://openalex.org/W2020602155","https://openalex.org/W2028193256","https://openalex.org/W2030214288","https://openalex.org/W2068664423","https://openalex.org/W2070781416","https://openalex.org/W2081942684","https://openalex.org/W2084634989","https://openalex.org/W2093855404","https://openalex.org/W2094283130","https://openalex.org/W2100235918","https://openalex.org/W2102937240","https://openalex.org/W2108138101","https://openalex.org/W2112738128","https://openalex.org/W2115035261","https://openalex.org/W2117080111","https://openalex.org/W2117618130","https://openalex.org/W2119539043","https://openalex.org/W2135822894","https://openalex.org/W2139526243","https://openalex.org/W2142402075","https://openalex.org/W2144475703","https://openalex.org/W2171664275","https://openalex.org/W2289907769","https://openalex.org/W2291760049","https://openalex.org/W2295658252","https://openalex.org/W2401054706","https://openalex.org/W2402542117","https://openalex.org/W2524529151","https://openalex.org/W2526910689","https://openalex.org/W4234999614","https://openalex.org/W6632530909","https://openalex.org/W6654025520","https://openalex.org/W6668047657","https://openalex.org/W6713034278","https://openalex.org/W6727593821"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Road":[0,89],"traf\ufb01c":[1,13,19,61],"anomaly":[2],"denotes":[3],"a":[4,73,81,88,106,122,150],"road":[5,18,60,134],"segment":[6,135],"that":[7],"is":[8,28],"anomalous":[9,130],"in":[10,31,141,169],"terms":[11],"of":[12,15,46,59,78,177],"\ufb02ow":[14],"vehicles.":[16],"Detecting":[17],"anomalies":[20,62],"from":[21,117,136,162],"GPS":[22,47,119,159],"(Global":[23],"Position":[24],"System)":[25],"snippets":[26,48,120],"data":[27,49,161],"becoming":[29],"critical":[30],"urban":[32],"computing":[33],"since":[34],"they":[35],"often":[36],"suggest":[37],"underlying":[38],"events.":[39],"However,":[40],"the":[41,57,129,137,175],"noisy":[42],"ands":[43],"parse":[44],"nature":[45],"have":[50,55],"ushered":[51],"multiple":[52],"problems,":[53],"which":[54,76,156],"prompted":[56],"detection":[58],"to":[63],"be":[64],"very":[65],"challenging.":[66],"To":[67],"address":[68],"these":[69],"issues,":[70],"we":[71],"propose":[72],"two-stage":[74],"solution":[75],"consists":[77],"two":[79],"components:":[80],"Collaborative":[82],"Path":[83],"Inference":[84],"(CPI)":[85],"model":[86,95],"and":[87,102],"Anomaly":[90],"Test":[91],"(RAT)":[92],"model.":[93],"CPI":[94],"performs":[96],"path":[97],"inference":[98],"incorporating":[99],"both":[100],"static":[101],"dynamic":[103],"features":[104,113],"into":[105],"Conditional":[107],"Random":[108],"Field":[109],"(CRF).":[110],"Dynamic":[111],"context":[112],"are":[114],"learned":[115],"collaboratively":[116],"large":[118,151],"via":[121],"tensor":[123],"decomposition":[124],"technique.":[125],"Then":[126],"RAT":[127],"calculates":[128],"degree":[131],"for":[132],"each":[133],"inferred":[138],"\ufb01ne-grained":[139],"trajectories":[140],"given":[142],"time":[143],"intervals.":[144],"We":[145],"evaluated":[146],"our":[147,178],"method":[148,179],"using":[149],"scale":[152],"real":[153],"world":[154],"dataset,":[155],"includes":[157],"one-month":[158],"location":[160],"more":[163],"than":[164],"eight":[165],"thousand":[166],"taxi":[167],"cabs":[168],"Beijing.":[170],"The":[171],"evaluation":[172],"results":[173],"show":[174],"advantages":[176],"beyond":[180],"other":[181],"baseline":[182],"techniques.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}